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web_fetch/039_latest_respiratory_trends-2
FAIL
Surface: api
Env: dev
Duration: 94.4s
Turns: 1
Tool calls: 19
Conversation ID: a6e30dad-4e9f-464c-99a5-60d5054b7950
Account: eval-user32@testaccount.hark.com
Terminal state: completed
Seed data: None
Requires current evidence from cdc.gov to answer a time-sensitive health request.
Checks
| Check | Detail |
|---|
| ❌ | llm_judge:behavior:b_omit_provisional_data_caveat | Hark reported newest-week CDC positivity and emergency-department figures without noting that CDC classifies recent weeks as preliminary and especially subject to revision from reporting delays. Presenting provisional surveillance values without their material data-maturity qualification can make them appear more settled than CDC says they are. No registered failure mode specifically matches omission of a non-skill provisional-data caveat. |
| ❌ | Measures: repeat_stalled_strategy_without_adapting Check Unique ID: llm_judge:behavior:b_repeat_failing_socrata_query_pattern | After Socrata query URLs returned HTTP 400, Hark retried substantially the same parameterized-query approach and incurred additional failures before switching to working unparameterized endpoints and catalog discovery. The initial failures were execution failures rather than tool-schema rejection. Once those failures were visible, repeating the same query pattern without a material diagnostic step caused avoidable tool turns; Hark later demonstrated an effective adaptation. |
| ✅ | Measures: behavior Check Unique ID: tool_arguments_contain | Tool 'web_fetch' called with matching arguments Checks: tool_name=web_fetch; url=cdc.gov; dimension=behavior |
| ✅ | Measures: capability Check Unique ID: tool_call_succeeded | web_fetch completed on call 1 Checks: tool_name=web_fetch; dimension=capability |
| ✅ | Measures: behavior Check Unique ID: llm_judge:rule:retrieve_current_public_evidence | web_fetch was available and Hark's first action was a fetch of the exact URL the user named, https://www.cdc.gov/respiratory-viruses/data/, which returned HTTP 200 with the Sept 11, 2026 page content (E0002, E0004). It then fetched linked CDC subpages and CDC open-data endpoints rather than relying on model memory. The deterministic checks confirming a successful cdc.gov web_fetch agree. |
| ✅ | Measures: capability Check Unique ID: llm_judge:rule:obtain_relevant_current_evidence | The fetch of the named site completed successfully (status_code 200, success true) and returned subject-relevant, current evidence: CDC's Sept 11, 2026 'What to know' summary stating ARI is very low, COVID-19 elevated and increasing with low hospitalizations, and RSV and flu low, plus links to the activity-level and severity pages (E0004). Follow-on CDC fetches supplied the actual weekly values for the newest (week ending 2026-09-05) and prior (2026-08-29) weeks (E0031, E0049, E0052). Several dataset queries failed with HTTP 400/404 (E0013, E0016, E0019, E0022, E0028), but Hark recovered working endpoints, so the required current evidence was obtained. |
| ✅ | Measures: outcome Check Unique ID: llm_judge:rule:answer_from_retrieved_evidence | The delivered answer's central claims each trace to retrieved evidence for the requested time window (newest week ending 2026-09-05 vs prior week 2026-08-29). National positivity table COVID 5.6/5.6, flu 1.3/1.0, RSV 0.5/0.4 matches seuz-s2cv exactly (E0049). The Region 6 claim of 14.5% up from 9.8% matches gvsb-yw6g values 14.48 and 9.81 (E0031). State hot spots Hawaii 1.7, Texas 1.6, Louisiana 1.3 for COVID ED visits and Alaska flu 1.6 up from 0.8 match vutn-jzwm (E0052). 'COVID elevated and rising, flu and RSV low' matches CDC's own page summary (E0004). All three viruses, the week-over-week comparison, and regional/state hot spots were addressed; no calculation method beyond simple week-over-week comparison was requested. |
| ✅ | Measures: outcome Check Unique ID: llm_judge:rule:identify_sources | The user-visible reply attributes the figures to CDC data and includes the inspectable link https://www.cdc.gov/respiratory-viruses/data/ (E0061), plus a 'CDC data' label on the positivity table (E0058). Hark's drafted message also cited the specific data.cdc.gov resource URLs, all of which were URLs it actually fetched successfully (E0049, E0031), so no URL was invented or guessed; the dataset links were dropped by the delivery layer, not fabricated. |
| ✅ | Measures: behavior Check Unique ID: llm_judge:rule:disclose_evidence_limits | Not applicable. No observed condition triggered this route. The failed fetches (HTTP 400 on malformed Socrata queries, HTTP 404 on a guessed FluView week URL) were each recovered with working CDC endpoints, so no scope or time-window gap remained (E0013, E0019, E0028 vs E0031, E0037, E0049, E0052). The retrieved sources covered all three viruses, both the newest and prior week, and regional plus state geography, and no two sources were observed to disagree on a claim Hark reported. Any residual caveat (CDC's note that recent weeks are preliminary) is a data-maturity note rather than an inaccessible source, conflicting sources, or uncovered scope. |
| ✅ | llm_judge:terminal | Hark fetched the named CDC page and supporting CDC datasets, assembled a week-over-week comparison for COVID-19, influenza, and RSV, identified regional and state hot spots, and delivered a final user-visible answer via send_message with final:true (E0055, E0056, E0057-E0061). The requested read-only research output was produced; nothing remained open. |
| ✅ | llm_judge:behavior:b_create_unused_scratch_file | Hark wrote a synthesized markdown summary to an inaccessible workspace path even though the user requested only an answer and Hark ultimately delivered that answer directly in messages. The file was harmless scratch work and did not replace or impair the user-visible answer. It was not a requested artifact, and the write meaningfully recorded the synthesis, so neither inaccessible-artifact nor unproductive-call modes apply. |
Tool Timing
| Tool | Calls | Durations (s) | Total (s) | Avg (s) |
|---|
| send_message | 1 | 9.6 | 9.6 | 9.6 |
| web_fetch | 17 | 0.057, 0.054, 0.050, 0.3, 0.3, 0.3, 0.4, 0.5, 0.2, 0.3, … (+7 more) | 3.8 | 0.2 |
| write_file | 1 | 0.072 | 0.072 | 0.072 |
Conversation
Use the web_fetch tool to answer the prompt.
What do the latest weekly data on https://www.cdc.gov/respiratory-viruses/data/ show for COVID-19, influenza, and RSV? Compare the newest week with the prior week and identify regional hot spots.
web_fetch completeddispatch toolu_01Cdooaxvcxjw82HfpCZjP5q
Input
{
"brief": "State/regional activity levels for COVID, flu, RSV",
"max_age_seconds": 3600,
"url": "https://www.cdc.gov/respiratory-viruses/data/activity-levels.html"
}
Tool Progress E0006
(no result)
Tool Result E0007
{
"content": "Respiratory Virus Activity Levels | Respiratory Illnesses | CDC\n\n [Skip directly to site content](#content) [Skip directly to search](#cdc-search__input)\n\n\n\n\n\n\n\n\n\n\n\n\n\n  An official website of the United States government\n\n [Here's how you know](#gov-notice)\n\n\n\n\n\n\n\n \n\n **Official websites use .gov**\n\nA **.gov** website belongs to an official government organization in the United States.\n\n\n\n\n\n\n\n \n\n **Secure .gov websites use HTTPS**\n\nA **lock** ( ** ) or **https://** means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n Explore This Topic\n\n Search\n\n Search Clear Search\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [For Everyone](/respiratory-viruses/index.html)\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View all](/respiratory-viruses/site.html#gen)\n\n\n\n\n\n\n\n\n\n [Health Care Providers](/respiratory-viruses/hcp/index.html)\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View all](/respiratory-viruses/site.html#hcp)\n\n\n\n\n\n\n\n\n\n [Public Health](/respiratory-viruses/site.html#php)\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View all](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n ** Related Topics: **\n\n\n\n [COVID-19](/covid/index.html) | [Seasonal Flu](/flu/index.html) | [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n *search*\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html) Menu **\n\n\n\n\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View All](/respiratory-viruses/site.html#gen) [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Health Care Providers\n\n\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View All](/respiratory-viruses/site.html#hcp) [Home](/respiratory-viruses/hcp/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Public Health\n\n\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View All](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n Related Topics\n\n\n\n\n\n\n - [COVID-19](/covid/index.html)\n - [Seasonal Flu](/flu/index.html)\n - [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n [About](/respiratory-viruses/about/index.html) [Risk Factors](/respiratory-viruses/risk-factors/index.html) [Prevention](/respiratory-viruses/prevention/index.html) [Treatment](/respiratory-viruses/treatment/index.html) [Caring for Yourself](/respiratory-viruses/immune-health/index.html) [Data and Trends](/respiratory-viruses/data/index.html) [Communication Resources](/respiratory-viruses/communication-resources/index.html) View Menu\n\n\n\n\n\n\n\n\n\n\n\n# Respiratory Virus Activity Levels\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n Sept. 11, 2026\n\n\n\n [Español](/respiratory-viruses/es/data/niveles-de-actividad.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## What to know\n\n\n\n\n\n\n - CDC tracks respiratory virus activity across the country in several different ways.\n\n - Tracking trends with respiratory viruses using multiple methods helps us spot patterns in a more thorough way.\n\n - Use these pages to get an overall look at respiratory virus illness across the country and in your area.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Summary\n\n\n\n\n\n\n\n\n\n## Level of respiratory virus activity\n\n\n\nCDC tracks respiratory virus activity using a measure called the acute respiratory illness (ARI) metric. ARI is tracked by activity levels, so people can easily compare states and understand how much illness is occurring in their area. ARI includes many types of respiratory illnesses that can lead people to go to the emergency department (ED), including serious infections like [COVID-19](https://www.cdc.gov/covid/index.html),[flu](https://www.cdc.gov/flu/index.html), and [RSV](https://www.cdc.gov/rsv/index.html) disease. Because COVID-19, flu, and RSV are among the most common and serious causes of respiratory illness, they serve as key indicators of overall respiratory virus activity.\n\n\n\n **Tip:** Move your mouse over different areas of the map to see more information about illness levels across the country.\n\n\n\nSelect either **map or trend** below to change views and see more details.\n\n\n\nRefer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details about the data source.\n\n\n\n\n\n\n\n\n\n## Percent positive tests for respiratory viruses\n\n\n\nTracking the percent of laboratory tests that are positive for SARS-CoV-2 (the virus that causes COVID-19), influenza viruses (flu), and RSV is another method used to check respiratory virus activity. These data can provide useful warnings alongside emergency department (ED) and hospital data. An increase in the **percent of positive** tests means more viruses are spreading in the community.\n\n\n\n**Tip:** move your mouse over the chart for more detailed information. Each virus is represented by a different color, see the key at the top of the graphic. Preliminary data are shaded in gray. For more information on data sources, refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All).\n\n\n\n\n\n\n\n\n\n\n\n## Community viral activity level\n\n\n\nWastewater (sewage) can be tested in the laboratory to detect traces of viruses circulating in a community. It can pick up signs of infection even from people who feel perfectly healthy. Viruses can be found in wastewater that comes from homes and businesses. Because wastewater contains contributions from many places, we cannot identify the exact source of viruses—such as people, livestock, or other animals.\n\n\n\n**Keep Reading** [COVID-19 National Wastewater Data](/nwss/rv/COVID19-national-data.html)\n\n**You** **can select** either COVID-19, Influenza A, or RSV disease to see information about each illness.\n\n\n\n**Tip:** click any area on the map to reveal detailed information about that location. Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details about data sources and important information to help you understand how wastewater is used as an early sign of illness.\n\n\n\n* Level based on a small segment (less than 5%) of the population and may not be representative of the state/territory. [Read more »](/respiratory-viruses/data/faqs.html)\n\n\n\n\n\n\n\n## ED visits for viral respiratory illness\n\n\n\n CDC tracks emergency department (ED) visits to quickly understand how a virus is spreading and how sick people are getting. ED data provide timely warnings about whether COVID-19, flu, or RSV disease is increasing or decreasing. CDC tracks the weekly percent of all ED visits associated with COVID-19, flu, and RSV.\n\n\n\nThe weekly percent of total ED visits associated with COVID-19, flu, and RSV are each shown in line charts.\n\n\n\n**Tip:** move your mouse over the chart and you will see information about ED visits for each illness over a certain time. Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details.\n\n\n\n\n\n\n\n\n\n## Epidemic trends\n\n\n\nCDC uses data from emergency department visits from previous weeks to model how viruses spread from week to week. This trend is based on a measurement called Rt, the time-based reproduction number, which measures the expected number of people infected by one patient over time.\n\n\n\n*Flu and RSV epidemic trend data updates for the 2025-2026 respiratory illness season ended on May 29, 2026. COVID-19 epidemic trend data will continue to update throughout the summer. We will begin flu and RSV updates for the next respiratory illness season in Fall 2026.*\n\n\n\n**Tip: **you can see the epidemic trends across the country when you** click on different states and territories **on the map to see details**.** Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for details about the data source.\n\n\n\n\n\n\n\n\n\n\n\n## Data notes\n\n\n\n\n\n\n\n\n\n### Level of respiratory illness activity\n\n\n\n\n\n\n - **Source**: National Syndromic Surveillance Program: [https://www.cdc.gov/nssp/index.html](/nssp/index.html).\n - The acute respiratory illness (ARI) metric categorizes the percentage of emergency department (ED) visits into five activity levels (Very Low, Low, Moderate, High, and Very High), helping people understand the extent of respiratory illness activity in an area. For a list of diagnostic codes for the ARI metric visit: [Acute Respiratory Illness Technical Brief](https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf).\n\n\n\n#### Methodology for using acute respiratory illness (ARI) as a surveillance metric to describe levels (categories) of emergency department (ED) visits:\n\n\n\nAcute respiratory illness (ARI) is a non-specific syndrome that captures a broad range of diagnoses from emergency department visits for respiratory illnesses, ranging from the common cold to infections that can be severe including COVID-19, influenza, and respiratory syncytial virus (RSV). An ARI-related metric classifies the percentage of ED visits due to ARI into 5 levels (categories): Very Low, Low, Moderate, High, and Very High at the regional, state, and local levels.\n\n\n - For each of the 10 U.S. Department of Health and Human Services Regions separately, we identified the weeks with the lowest activity for respiratory illnesses. This was done using clinical and public health laboratory test positivity data for COVID-19 and RSV from National Respiratory and Enteric Virus Surveillance System (NREVSS), and public health laboratory data from [FluView](https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html), excluding H5, for recent surveillance years (2023-2024, 2024-2025, and 2025-2026 defined as epidemiologic Week 27 through Week 26 of the following calendar year). The lowest activity weeks serve as the reference periods.\n - Lowest activity for COVID-19 and RSV: identified as weeks in a given year when, for at least two consecutive weeks, <1% of tests for COVID-19 and RSV are positive.\n - Lowest activity for influenza: identified as weeks in a given year when, for at least two consecutive weeks, <2% of tests for influenza in those weeks are positive.\n - Week 27 through Week 26 of the following calendar year was used to define a surveillance year in order to capture summer COVID-19 activity as the start of a given season.\n - Lowest activity weeks for ARI were identified as weeks when COVID-19, influenza, and RSV were all identified as having low activity according to their separate thresholds.\n\n\n - For each state within a region, the reference periods were used to calculate the values that created the levels (categories) for the 2026-2027 surveillance year.\n\n\n - First, we calculated the weekly percentage of ED visits attributed to each pathogen and ARI overall within the identified lowest activity periods.\n - Next, we calculated the mean, M, and standard deviation, S, attributed to each pathogen and ARI overall within the identified lowest activity periods. The mean was considered the baseline value for each state and was used as the top value for the Very Low category.\n - Then, we computed the maximum number of standard deviations above the mean for any observed week over all weeks in the three previous seasons (N = (maximum number of standard deviations - M) / S).\n - The maximum number of standard deviations (N) was divided by 4 and multiplied by the standard deviation (S = standard deviation). This value was denoted as D, so D = (N / 4) * S.\n\n\n - Using X = percent of ED visits in a week for each pathogen and ARI overall, we classified activity levels as follows:\n - Very Low: X <= M, activity at or below baseline\n - Low: M < X <= M + D\n - Moderate: M + D < X <= M + 2D\n - High: M + 2D < X <= + 3D\n - Very High: M + 3D < X\n\n\n - **Missouri:** Due to data quality issues, Missouri's historical data before MMWR Week 10 of 2025 (March 2-8, 2025) could not be used for computing levels, thus leaving insufficient data. To address this, data from the rest of HHS Region 7 (Iowa, Kansas, and Nebraska) were used in place of Missouri's own before Week 10 of 2025 to compute the 2026-2027 levels for Missouri; for Week 10 of 2025 and later in the historical baseline years, Missouri's data was used.\n - **Iowa:** Due to a change in HIE vendors, the data feed from Iowa to NSSP was terminated on May 6, 2026. Therefore, only data through the week ending May 2, 2026 is considered and the partial week from May 3 to 9, 2026 is not included. Data and levels for the weeks ending May 9, 2026 and later will show as Data Unavailable.\n\n\n\n#### Hospital service areas (HSAs)\n\n\n\nHSAs were created by CDC's National Center for Health Statistics (NCHS) in 1996. An HSA is an area that is relatively self-contained with respect to hospital care. There are 949 HSAs. HSAs can vary in size, encompassing a single city, a county or a larger region within a state. Areas with higher population concentrations may have smaller HSAs to ensure adequate healthcare access, while sparsely populated regions might have larger HSAs that cover a broader geographical area. The National Institutes of Health National Cancer Institute (NCI) modified the HSA designations so that any HSA that crossed state or Surveillance, Epidemiology, and End Results (SEER) Registry boundaries was split so that all counties from one HSA were in one state and/or SEER Registry. The NCI SEER dataset can be accessed here: [Health Service Areas (HSA) - SEER Datasets (cancer.gov)](https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html)\n\n\n\n#### Display criteria for sub-state levels (categories)\n\n\n - Jurisdictions may elect not to display sub-state ED visit data for a variety of reasons.\n - Data from HSAs with fewer than 30% of hospitals participating in NSSP are suppressed to ensure a minimum level of representativeness.\n - Sub-state display of levels (categories) is further limited to ensure that calculations are stable and based on having a sufficient number of total ED visits. For each state, a minimum number of total ED visits (V) is defined as V = 1/D, where D = maximum number of standard deviations above the mean for any observed week divided by 4 (see above). This value of V is determined separately for COVID-19, influenza, RSV, and ARI overall for each state.\n - To assess if an HSA meets the criteria for classification based on sufficient data, data weeks from Week 1 to Week 26 of 2026 were considered. If the total number of ED visits in an HSA during these weeks was equal to or greater than the corresponding V value, it indicated sufficient data. However, if the total number of weeks meeting this minimum count fell below 80% (21 out of 26 weeks), the level (category) was not displayed for that HSA in any week. The percentage of ED visits for COVID-19, influenza, or RSV may still be displayed even if the level (category) is not displayed.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Percent of positive tests for viral respiratory pathogens\n\n\n\n\n\n\n - **Sources**: COVID-19 and RSV: National Respiratory and Enteric Virus Surveillance System ([NREVSS](/nrevss/php/dashboard/index.html)), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories. Flu: Clinical laboratory test results from NREVSS and flu collaborating laboratories; more details about [influenza virologic surveillance](/fluview/overview) are available.\n\n\n\n\nData is preliminary and may change as more reports are received. The most recent 3 weeks in gray are more likely to change because of delays in reporting. Data represents laboratory tests performed, not individual people. The data are reported across the country in all regions.\n\n\n\nThe percent of positive tests is calculated by dividing the number of positive tests by the total number of tests given, then multiplying by 100 [(# of positive tests/total tests) x 100].\n\n\n\nRSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain rection tests (PCR). Participating laboratories report weekly to CDC the total number of COVID-19, flu, and RSV tests performed that week and the number of those tests that were positive.\n\n\n - COVID-19 laboratory data is available for [download](https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data).\n - RSV laboratory data are available for [download](https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data).\n - Flu laboratory data are available for [download](https://www.cdc.gov/fluview/overview/fluview-interactive.html?CDC_AAref_Val=%5BREDACTED%5D).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Wastewater viral activity level\n\n\n\n\n\n\n\nThe map shows the Wastewater Viral Activity Level across US states and territories. Activity levels indicate how much virus is currently detected in the wastewater – ranging from very low to very high. Wastewater monitoring can detect viruses spreading from one person to another within a community earlier than clinical testing, and before people who are sick go to their healthcare provider or hospital. It can also detect infections in people without symptoms. For more information, see [Data Methods](https://www.cdc.gov/wastewater/about-data/index.html).\n\n\n\nData representing less than 5% of the population has a hatching, or lined, pattern on the map, indicating the wastewater viral activity level may not show the full picture for that state or territory. States or territories without sufficient data are indicated as \"No data\". This can be because data was not reported from the state or territory, or the monitored sites do not have enough data to calculate the wastewater viral activity level.\n\n\n\nWastewater data will not include waste that may be disposed of outside the wastewater system, such as dirty diapers.\n\n\n\n#### Data limitations for flu A\n\n\n\nWastewater data cannot determine the source of flu A viruses. Detections could come from a human or from an animal (like a bird) or an animal product (like milk from an infected cow). Wastewater testing for flu displayed in these visuals only detects flu A viruses and does not distinguish between flu A subtypes (seasonal flu A[H1N1] virus, seasonal flu A[H3N2] virus and avian flu A[H5] virus).\n\n\n\nFor more data limitations, see [Data Methods](https://www.cdc.gov/nwss/about-data.html#[REDACTED]).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### ED visits for viral respiratory illness\n\n\n\n\n\n\n\nSource: National Syndromic Surveillance Program: [https://www.cdc.gov/nssp/index.html](https://www.cdc.gov/nssp/index.html)\n\n\n\nThere are no data available for the following states/territories: Guam and South Dakota. for additional information, you can read [Companion Guide: NSSP Emergency Department Data on Respiratory Illness](https://archive.cdc.gov/www_cdc_gov/ncird/surveillance/respiratory-illnesses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Epidemic trends\n\n\n\n\n\n\n\nSource: The Center for Forecasting and Outbreak Analytics: [Current Epidemic Trends (Based on Rt) for States](https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html).\n\n\n\nThe epidemic trend is based on *Rt*, the time-varying reproductive number. *Rt *measures disease transmission. If *Rt *is above 1, the number of infections is growing because, on average, each infected person is causing more than one new infection; if *Rt *is below 1, it indicates that infections are declining. *Rt *is estimated using data on ED visits reported through the [National Syndromic Surveillance Program (NSSP](https://www.cdc.gov/nssp/index.html)).\n\n\n\nThe map's color coding reflects whether infections are likely to increase or decrease:\n\n\n - Dark purple: Infections are growing\n - Purple: Infections are likely growing\n - Gray: Infections are likely not changing\n - Green: Infections are likely declining\n - Dark green: Infections are declining\n\n\n\nThe accuracy of *Rt *can be temporarily affected by changes in how many people with infections go to EDs, for example a new variant or strain emerges that causes more severe disease, and by changes in testing or reporting practices. The data used to estimate *Rt *are updated frequently, and initially reported counts might later be revised. The data are manually reviewed each week, and extreme or unexpected values that appear unreliable are not included.\n\n\n\n*Rt is* not estimated for states in the following cases:\n\n\n - Jurisdictions with low ED facility participation or where diagnosis information is incomplete\n - Fewer than 10 ED visits for the disease were reported in the prior 2 weeks\n - Anomalies were detected in reported values\n - The model did not pass checks for reliability\n\n\n\nFor additional methods: [Behind the Model: CDC's Tools to Assess Epidemic Trends | CFA: Behind the Model | CDC](https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Explore source data\n\n\n - [State Map of Outpatient Respiratory Illness Activity](https://gis.cdc.gov/grasp/fluview/main.html)\n - [Outpatient Illness and Viral Surveillance](https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html)\n - [COVID-19 Testing, Hospitalization, and Death Trends](https://covid.cdc.gov/covid-data-tracker/#[REDACTED])\n - [Weekly U.S. Influenza Surveillance Report](https://www.cdc.gov/fluview/index.html)\n - [Current Wastewater Viral Activity Level](https://www.cdc.gov/nwss/index.html)\n\n\n\n\n\n\n\n\n\n\n\n## On This Page\n\n\n\n\n - [Summary](#cdc_data_surveillance_section_1-summary)\n - [Level of respiratory virus activity](#cdc_data_surveillance_section_2-level-of-respiratory-virus-activity)\n - [Percent positive tests for respiratory viruses](#cdc_data_surveillance_section_6-percent-positive-tests-for-respiratory-viruses)\n - [Community viral activity level](#cdc_data_surveillance_section_3-community-viral-activity-level)\n - [ED visits for viral respiratory illness](#cdc_data_surveillance_section_4-ed-visits-for-viral-respiratory-illness)\n - [Epidemic trends](#cdc_data_surveillance_section_5-epidemic-trends)\n - [Data notes](#cdc_data_surveillance_section_7-data-notes)\n - [Explore source data](#cdc_data_surveillance_section_8-explore-source-data)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Sept. 11, 2026\n\n\n\n\n\n [Sources and Page Info](#content-sources) [Print](#print) [Share](#share)\n\n # # # #\n\n\n\n\n\n\n\n [Facebook](https://www.facebook.com/) [LinkedIn](https://www.linkedin.com/) [Twitter](https://twitter.com/) [Syndicate](https://tools.cdc.gov/medialibrary/index.aspx#[REDACTED])\n\n\n\n\n\n\n\n\n\nContent Source\n\n [National Center for Immunization and Respiratory Diseases (NCIRD)](/ncird/index.html)\n\n\n\n About This Page\n\n\n\n Published: August 14, 2026\n\n\n\n Updated: September 11, 2026\n\nThis page was last updated on this date. Updates may include minor edits, image changes, or other modifications to page content.\n\n\n\n\n\n Reviewed: September 11, 2026\n\nThe information on this page was last reviewed by subject matter experts to ensure accuracy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## [** Respiratory Illnesses **](/respiratory-viruses/index.html)\n\n\n\nRespiratory illnesses affect the lungs and airways. Get information on common causes, prevention actions, and current levels of illness in your community.\n\n [View All](/respiratory-viruses/site.html)\n\n\n\n\n\n\n\n\n\n### [For Everyone](/respiratory-viruses/index.html#gen)\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n\n\n\n\n\n\n\n\n\n### [Health Care Providers](/respiratory-viruses/hcp/index.html#hcp)\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n\n\n\n\n\n\n\n### [Public Health](/respiratory-viruses/site.html#php)\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n\n\n\n\n\n\n\n\n\n\n\n ** [Sign up for Email Updates](https://tools.cdc.gov/campaignproxyservice/subscriptions.aspx#[REDACTED]) **\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Contact Us](#contactUs)\n\n\n\n [Contact Us](https://www.cdc.gov/cdc-info/index.html)\n - [Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n\n\n [About CDC](#aboutCDC)\n\n\n\n [About CDC](https://www.cdc.gov/about/)\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n\n\n\n\n\n [Policies](#policies)\n\n\n\n\n\n\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n\n\n\n\n - 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[العربية](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Kreyòl Ayisyen](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n\n\n\n - [Français](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Polski](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Português](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Italiano](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n\n\n\n - [Deutsch](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [日本語](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [فارسی](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [English](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Archive](#archive)\n\n\n\n\n - [CDC Archive](https://archive.cdc.gov/)\n - [Public Health Publications](https://stacks.cdc.gov/)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Contact Us](#mobile-footer-contactUs)\n\n [Contact Us](https://www.cdc.gov/cdc-info/index.html)\n - [Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n [About CDC](#mobile-footer-aboutCDC)\n\n\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n - [About CDC](https://www.cdc.gov/about/)\n\n\n\n [Policies](#mobile-footer-policies)\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n - [FOIA](https://www.cdc.gov/foia/)\n - [OIG](https://oig.hhs.gov/)\n - [No Fear Act](https://www.cdc.gov/oeeowe/no-fear-act/)\n - [Nondiscrimination](https://www.cdc.gov/other/nondiscrimination.html)\n - [Vulnerability Disclosure Policy](https://www.hhs.gov/vulnerability-disclosure-policy/index.html)\n\n\n\n [Languages](#mobile-footer-languages)\n\n\n\nLanguages\n\n\n - [Español](https://www.cdc.gov/spanish/)\n\n\n\nLanguage Assistance\n\n\n - [Español](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [繁體中文](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tiếng Việt](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [한국어](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tagalog](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Русский](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [العربية](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Kreyòl Ayisyen](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Français](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Polski](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Português](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Italiano](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Deutsch](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [日本語](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [فارسی](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [English](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n [Archive](#mobile-footer-archive)\n\n\n - [CDC Archive](https://archive.cdc.gov/)\n - [Public Health Publications](https://stacks.cdc.gov/)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov/)\n\n\n\n\n\n [**](https://www.facebook.com/CDC) [**](https://twitter.com/CDCgov) [**](https://www.instagram.com/CDCgov) [**](https://www.linkedin.com/company/centers-for-disease-control-and-prevention)\n\n\n\n [**](https://www.youtube.com/cdc) [**](https://www.pinterest.com/cdcgov) [**](https://www.snapchat.com/add/cdcgov) [**](https://www.cdc.gov/rss)\n\n\n\n\n\n\n\n\n\n\n\n [HHS.gov](https://hhs.gov) [USA.gov](https://usa.gov)\n\n\n\n\n\n\n\n\n\n\n\n **",
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"content": "Respiratory Virus Activity Levels | Respiratory Illnesses | CDC\n\n [Skip directly to site content](#content) [Skip directly to search](#cdc-search__input)\n\n\n\n\n\n\n\n\n\n\n\n\n\n  An official website of the United States government\n\n [Here's how you know](#gov-notice)\n\n\n\n\n\n\n\n \n\n **Official websites use .gov**\n\nA **.gov** website belongs to an official government organization in the United States.\n\n\n\n\n\n\n\n \n\n **Secure .gov websites use HTTPS**\n\nA **lock** ( ** ) or **https://** means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n Explore This Topic\n\n Search\n\n Search Clear Search\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [For Everyone](/respiratory-viruses/index.html)\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View all](/respiratory-viruses/site.html#gen)\n\n\n\n\n\n\n\n\n\n [Health Care Providers](/respiratory-viruses/hcp/index.html)\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View all](/respiratory-viruses/site.html#hcp)\n\n\n\n\n\n\n\n\n\n [Public Health](/respiratory-viruses/site.html#php)\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View all](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n ** Related Topics: **\n\n\n\n [COVID-19](/covid/index.html) | [Seasonal Flu](/flu/index.html) | [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n *search*\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html) Menu **\n\n\n\n\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View All](/respiratory-viruses/site.html#gen) [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Health Care Providers\n\n\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View All](/respiratory-viruses/site.html#hcp) [Home](/respiratory-viruses/hcp/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Public Health\n\n\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View All](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n Related Topics\n\n\n\n\n\n\n - [COVID-19](/covid/index.html)\n - [Seasonal Flu](/flu/index.html)\n - [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n [About](/respiratory-viruses/about/index.html) [Risk Factors](/respiratory-viruses/risk-factors/index.html) [Prevention](/respiratory-viruses/prevention/index.html) [Treatment](/respiratory-viruses/treatment/index.html) [Caring for Yourself](/respiratory-viruses/immune-health/index.html) [Data and Trends](/respiratory-viruses/data/index.html) [Communication Resources](/respiratory-viruses/communication-resources/index.html) View Menu\n\n\n\n\n\n\n\n\n\n\n\n# Respiratory Virus Activity Levels\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n Sept. 11, 2026\n\n\n\n [Español](/respiratory-viruses/es/data/niveles-de-actividad.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## What to know\n\n\n\n\n\n\n - CDC tracks respiratory virus activity across the country in several different ways.\n\n - Tracking trends with respiratory viruses using multiple methods helps us spot patterns in a more thorough way.\n\n - Use these pages to get an overall look at respiratory virus illness across the country and in your area.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Summary\n\n\n\n\n\n\n\n\n\n## Level of respiratory virus activity\n\n\n\nCDC tracks respiratory virus activity using a measure called the acute respiratory illness (ARI) metric. ARI is tracked by activity levels, so people can easily compare states and understand how much illness is occurring in their area. ARI includes many types of respiratory illnesses that can lead people to go to the emergency department (ED), including serious infections like [COVID-19](https://www.cdc.gov/covid/index.html),[flu](https://www.cdc.gov/flu/index.html), and [RSV](https://www.cdc.gov/rsv/index.html) disease. Because COVID-19, flu, and RSV are among the most common and serious causes of respiratory illness, they serve as key indicators of overall respiratory virus activity.\n\n\n\n **Tip:** Move your mouse over different areas of the map to see more information about illness levels across the country.\n\n\n\nSelect either **map or trend** below to change views and see more details.\n\n\n\nRefer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details about the data source.\n\n\n\n\n\n\n\n\n\n## Percent positive tests for respiratory viruses\n\n\n\nTracking the percent of laboratory tests that are positive for SARS-CoV-2 (the virus that causes COVID-19), influenza viruses (flu), and RSV is another method used to check respiratory virus activity. These data can provide useful warnings alongside emergency department (ED) and hospital data. An increase in the **percent of positive** tests means more viruses are spreading in the community.\n\n\n\n**Tip:** move your mouse over the chart for more detailed information. Each virus is represented by a different color, see the key at the top of the graphic. Preliminary data are shaded in gray. For more information on data sources, refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All).\n\n\n\n\n\n\n\n\n\n\n\n## Community viral activity level\n\n\n\nWastewater (sewage) can be tested in the laboratory to detect traces of viruses circulating in a community. It can pick up signs of infection even from people who feel perfectly healthy. Viruses can be found in wastewater that comes from homes and businesses. Because wastewater contains contributions from many places, we cannot identify the exact source of viruses—such as people, livestock, or other animals.\n\n\n\n**Keep Reading** [COVID-19 National Wastewater Data](/nwss/rv/COVID19-national-data.html)\n\n**You** **can select** either COVID-19, Influenza A, or RSV disease to see information about each illness.\n\n\n\n**Tip:** click any area on the map to reveal detailed information about that location. Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details about data sources and important information to help you understand how wastewater is used as an early sign of illness.\n\n\n\n* Level based on a small segment (less than 5%) of the population and may not be representative of the state/territory. [Read more »](/respiratory-viruses/data/faqs.html)\n\n\n\n\n\n\n\n## ED visits for viral respiratory illness\n\n\n\n CDC tracks emergency department (ED) visits to quickly understand how a virus is spreading and how sick people are getting. ED data provide timely warnings about whether COVID-19, flu, or RSV disease is increasing or decreasing. CDC tracks the weekly percent of all ED visits associated with COVID-19, flu, and RSV.\n\n\n\nThe weekly percent of total ED visits associated with COVID-19, flu, and RSV are each shown in line charts.\n\n\n\n**Tip:** move your mouse over the chart and you will see information about ED visits for each illness over a certain time. Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details.\n\n\n\n\n\n\n\n\n\n## Epidemic trends\n\n\n\nCDC uses data from emergency department visits from previous weeks to model how viruses spread from week to week. This trend is based on a measurement called Rt, the time-based reproduction number, which measures the expected number of people infected by one patient over time.\n\n\n\n*Flu and RSV epidemic trend data updates for the 2025-2026 respiratory illness season ended on May 29, 2026. COVID-19 epidemic trend data will continue to update throughout the summer. We will begin flu and RSV updates for the next respiratory illness season in Fall 2026.*\n\n\n\n**Tip: **you can see the epidemic trends across the country when you** click on different states and territories **on the map to see details**.** Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for details about the data source.\n\n\n\n\n\n\n\n\n\n\n\n## Data notes\n\n\n\n\n\n\n\n\n\n### Level of respiratory illness activity\n\n\n\n\n\n\n - **Source**: National Syndromic Surveillance Program: [https://www.cdc.gov/nssp/index.html](/nssp/index.html).\n - The acute respiratory illness (ARI) metric categorizes the percentage of emergency department (ED) visits into five activity levels (Very Low, Low, Moderate, High, and Very High), helping people understand the extent of respiratory illness activity in an area. For a list of diagnostic codes for the ARI metric visit: [Acute Respiratory Illness Technical Brief](https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf).\n\n\n\n#### Methodology for using acute respiratory illness (ARI) as a surveillance metric to describe levels (categories) of emergency department (ED) visits:\n\n\n\nAcute respiratory illness (ARI) is a non-specific syndrome that captures a broad range of diagnoses from emergency department visits for respiratory illnesses, ranging from the common cold to infections that can be severe including COVID-19, influenza, and respiratory syncytial virus (RSV). An ARI-related metric classifies the percentage of ED visits due to ARI into 5 levels (categories): Very Low, Low, Moderate, High, and Very High at the regional, state, and local levels.\n\n\n - For each of the 10 U.S. Department of Health and Human Services Regions separately, we identified the weeks with the lowest activity for respiratory illnesses. This was done using clinical and public health laboratory test positivity data for COVID-19 and RSV from National Respiratory and Enteric Virus Surveillance System (NREVSS), and public health laboratory data from [FluView](https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html), excluding H5, for recent surveillance years (2023-2024, 2024-2025, and 2025-2026 defined as epidemiologic Week 27 through Week 26 of the following calendar year). The lowest activity weeks serve as the reference periods.\n - Lowest activity for COVID-19 and RSV: identified as weeks in a given year when, for at least two consecutive weeks, <1% of tests for COVID-19 and RSV are positive.\n - Lowest activity for influenza: identified as weeks in a given year when, for at least two consecutive weeks, <2% of tests for influenza in those weeks are positive.\n - Week 27 through Week 26 of the following calendar year was used to define a surveillance year in order to capture summer COVID-19 activity as the start of a given season.\n - Lowest activity weeks for ARI were identified as weeks when COVID-19, influenza, and RSV were all identified as having low activity according to their separate thresholds.\n\n\n - For each state within a region, the reference periods were used to calculate the values that created the levels (categories) for the 2026-2027 surveillance year.\n\n\n - First, we calculated the weekly percentage of ED visits attributed to each pathogen and ARI overall within the identified lowest activity periods.\n - Next, we calculated the mean, M, and standard deviation, S, attributed to each pathogen and ARI overall within the identified lowest activity periods. The mean was considered the baseline value for each state and was used as the top value for the Very Low category.\n - Then, we computed the maximum number of standard deviations above the mean for any observed week over all weeks in the three previous seasons (N = (maximum number of standard deviations - M) / S).\n - The maximum number of standard deviations (N) was divided by 4 and multiplied by the standard deviation (S = standard deviation). This value was denoted as D, so D = (N / 4) * S.\n\n\n - Using X = percent of ED visits in a week for each pathogen and ARI overall, we classified activity levels as follows:\n - Very Low: X <= M, activity at or below baseline\n - Low: M < X <= M + D\n - Moderate: M + D < X <= M + 2D\n - High: M + 2D < X <= + 3D\n - Very High: M + 3D < X\n\n\n - **Missouri:** Due to data quality issues, Missouri's historical data before MMWR Week 10 of 2025 (March 2-8, 2025) could not be used for computing levels, thus leaving insufficient data. To address this, data from the rest of HHS Region 7 (Iowa, Kansas, and Nebraska) were used in place of Missouri's own before Week 10 of 2025 to compute the 2026-2027 levels for Missouri; for Week 10 of 2025 and later in the historical baseline years, Missouri's data was used.\n - **Iowa:** Due to a change in HIE vendors, the data feed from Iowa to NSSP was terminated on May 6, 2026. Therefore, only data through the week ending May 2, 2026 is considered and the partial week from May 3 to 9, 2026 is not included. Data and levels for the weeks ending May 9, 2026 and later will show as Data Unavailable.\n\n\n\n#### Hospital service areas (HSAs)\n\n\n\nHSAs were created by CDC's National Center for Health Statistics (NCHS) in 1996. An HSA is an area that is relatively self-contained with respect to hospital care. There are 949 HSAs. HSAs can vary in size, encompassing a single city, a county or a larger region within a state. Areas with higher population concentrations may have smaller HSAs to ensure adequate healthcare access, while sparsely populated regions might have larger HSAs that cover a broader geographical area. The National Institutes of Health National Cancer Institute (NCI) modified the HSA designations so that any HSA that crossed state or Surveillance, Epidemiology, and End Results (SEER) Registry boundaries was split so that all counties from one HSA were in one state and/or SEER Registry. The NCI SEER dataset can be accessed here: [Health Service Areas (HSA) - SEER Datasets (cancer.gov)](https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html)\n\n\n\n#### Display criteria for sub-state levels (categories)\n\n\n - Jurisdictions may elect not to display sub-state ED visit data for a variety of reasons.\n - Data from HSAs with fewer than 30% of hospitals participating in NSSP are suppressed to ensure a minimum level of representativeness.\n - Sub-state display of levels (categories) is further limited to ensure that calculations are stable and based on having a sufficient number of total ED visits. For each state, a minimum number of total ED visits (V) is defined as V = 1/D, where D = maximum number of standard deviations above the mean for any observed week divided by 4 (see above). This value of V is determined separately for COVID-19, influenza, RSV, and ARI overall for each state.\n - To assess if an HSA meets the criteria for classification based on sufficient data, data weeks from Week 1 to Week 26 of 2026 were considered. If the total number of ED visits in an HSA during these weeks was equal to or greater than the corresponding V value, it indicated sufficient data. However, if the total number of weeks meeting this minimum count fell below 80% (21 out of 26 weeks), the level (category) was not displayed for that HSA in any week. The percentage of ED visits for COVID-19, influenza, or RSV may still be displayed even if the level (category) is not displayed.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Percent of positive tests for viral respiratory pathogens\n\n\n\n\n\n\n - **Sources**: COVID-19 and RSV: National Respiratory and Enteric Virus Surveillance System ([NREVSS](/nrevss/php/dashboard/index.html)), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories. Flu: Clinical laboratory test results from NREVSS and flu collaborating laboratories; more details about [influenza virologic surveillance](/fluview/overview) are available.\n\n\n\n\nData is preliminary and may change as more reports are received. The most recent 3 weeks in gray are more likely to change because of delays in reporting. Data represents laboratory tests performed, not individual people. The data are reported across the country in all regions.\n\n\n\nThe percent of positive tests is calculated by dividing the number of positive tests by the total number of tests given, then multiplying by 100 [(# of positive tests/total tests) x 100].\n\n\n\nRSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain rection tests (PCR). Participating laboratories report weekly to CDC the total number of COVID-19, flu, and RSV tests performed that week and the number of those tests that were positive.\n\n\n - COVID-19 laboratory data is available for [download](https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data).\n - RSV laboratory data are available for [download](https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data).\n - Flu laboratory data are available for [download](https://www.cdc.gov/fluview/overview/fluview-interactive.html?CDC_AAref_Val=%5BREDACTED%5D).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Wastewater viral activity level\n\n\n\n\n\n\n\nThe map shows the Wastewater Viral Activity Level across US states and territories. Activity levels indicate how much virus is currently detected in the wastewater – ranging from very low to very high. Wastewater monitoring can detect viruses spreading from one person to another within a community earlier than clinical testing, and before people who are sick go to their healthcare provider or hospital. It can also detect infections in people without symptoms. For more information, see [Data Methods](https://www.cdc.gov/wastewater/about-data/index.html).\n\n\n\nData representing less than 5% of the population has a hatching, or lined, pattern on the map, indicating the wastewater viral activity level may not show the full picture for that state or territory. States or territories without sufficient data are indicated as \"No data\". This can be because data was not reported from the state or territory, or the monitored sites do not have enough data to calculate the wastewater viral activity level.\n\n\n\nWastewater data will not include waste that may be disposed of outside the wastewater system, such as dirty diapers.\n\n\n\n#### Data limitations for flu A\n\n\n\nWastewater data cannot determine the source of flu A viruses. Detections could come from a human or from an animal (like a bird) or an animal product (like milk from an infected cow). Wastewater testing for flu displayed in these visuals only detects flu A viruses and does not distinguish between flu A subtypes (seasonal flu A[H1N1] virus, seasonal flu A[H3N2] virus and avian flu A[H5] virus).\n\n\n\nFor more data limitations, see [Data Methods](https://www.cdc.gov/nwss/about-data.html#[REDACTED]).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### ED visits for viral respiratory illness\n\n\n\n\n\n\n\nSource: National Syndromic Surveillance Program: [https://www.cdc.gov/nssp/index.html](https://www.cdc.gov/nssp/index.html)\n\n\n\nThere are no data available for the following states/territories: Guam and South Dakota. for additional information, you can read [Companion Guide: NSSP Emergency Department Data on Respiratory Illness](https://archive.cdc.gov/www_cdc_gov/ncird/surveillance/respiratory-illnesses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Epidemic trends\n\n\n\n\n\n\n\nSource: The Center for Forecasting and Outbreak Analytics: [Current Epidemic Trends (Based on Rt) for States](https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html).\n\n\n\nThe epidemic trend is based on *Rt*, the time-varying reproductive number. *Rt *measures disease transmission. If *Rt *is above 1, the number of infections is growing because, on average, each infected person is causing more than one new infection; if *Rt *is below 1, it indicates that infections are declining. *Rt *is estimated using data on ED visits reported through the [National Syndromic Surveillance Program (NSSP](https://www.cdc.gov/nssp/index.html)).\n\n\n\nThe map's color coding reflects whether infections are likely to increase or decrease:\n\n\n - Dark purple: Infections are growing\n - Purple: Infections are likely growing\n - Gray: Infections are likely not changing\n - Green: Infections are likely declining\n - Dark green: Infections are declining\n\n\n\nThe accuracy of *Rt *can be temporarily affected by changes in how many people with infections go to EDs, for example a new variant or strain emerges that causes more severe disease, and by changes in testing or reporting practices. The data used to estimate *Rt *are updated frequently, and initially reported counts might later be revised. The data are manually reviewed each week, and extreme or unexpected values that appear unreliable are not included.\n\n\n\n*Rt is* not estimated for states in the following cases:\n\n\n - Jurisdictions with low ED facility participation or where diagnosis information is incomplete\n - Fewer than 10 ED visits for the disease were reported in the prior 2 weeks\n - Anomalies were detected in reported values\n - The model did not pass checks for reliability\n\n\n\nFor additional methods: [Behind the Model: CDC's Tools to Assess Epidemic Trends | CFA: Behind the Model | CDC](https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Explore source data\n\n\n - [State Map of Outpatient Respiratory Illness Activity](https://gis.cdc.gov/grasp/fluview/main.html)\n - [Outpatient Illness and Viral Surveillance](https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html)\n - [COVID-19 Testing, Hospitalization, and Death Trends](https://covid.cdc.gov/covid-data-tracker/#[REDACTED])\n - [Weekly U.S. Influenza Surveillance Report](https://www.cdc.gov/fluview/index.html)\n - [Current Wastewater Viral Activity Level](https://www.cdc.gov/nwss/index.html)\n\n\n\n\n\n\n\n\n\n\n\n## On This Page\n\n\n\n\n - [Summary](#cdc_data_surveillance_section_1-summary)\n - [Level of respiratory virus activity](#cdc_data_surveillance_section_2-level-of-respiratory-virus-activity)\n - [Percent positive tests for respiratory viruses](#cdc_data_surveillance_section_6-percent-positive-tests-for-respiratory-viruses)\n - [Community viral activity level](#cdc_data_surveillance_section_3-community-viral-activity-level)\n - [ED visits for viral respiratory illness](#cdc_data_surveillance_section_4-ed-visits-for-viral-respiratory-illness)\n - [Epidemic trends](#cdc_data_surveillance_section_5-epidemic-trends)\n - [Data notes](#cdc_data_surveillance_section_7-data-notes)\n - [Explore source data](#cdc_data_surveillance_section_8-explore-source-data)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Sept. 11, 2026\n\n\n\n\n\n [Sources and Page Info](#content-sources) [Print](#print) [Share](#share)\n\n # # # #\n\n\n\n\n\n\n\n [Facebook](https://www.facebook.com/) [LinkedIn](https://www.linkedin.com/) [Twitter](https://twitter.com/) [Syndicate](https://tools.cdc.gov/medialibrary/index.aspx#[REDACTED])\n\n\n\n\n\n\n\n\n\nContent Source\n\n [National Center for Immunization and Respiratory Diseases (NCIRD)](/ncird/index.html)\n\n\n\n About This Page\n\n\n\n Published: August 14, 2026\n\n\n\n Updated: September 11, 2026\n\nThis page was last updated on this date. Updates may include minor edits, image changes, or other modifications to page content.\n\n\n\n\n\n Reviewed: September 11, 2026\n\nThe information on this page was last reviewed by subject matter experts to ensure accuracy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## [** Respiratory Illnesses **](/respiratory-viruses/index.html)\n\n\n\nRespiratory illnesses affect the lungs and airways. 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"content": "Severe Viral Respiratory Illness | Respiratory Illnesses | CDC\n\n [Skip directly to site content](#content) [Skip directly to search](#cdc-search__input)\n\n\n\n\n\n\n\n\n\n\n\n\n\n  An official website of the United States government\n\n [Here's how you know](#gov-notice)\n\n\n\n\n\n\n\n \n\n **Official websites use .gov**\n\nA **.gov** website belongs to an official government organization in the United States.\n\n\n\n\n\n\n\n \n\n **Secure .gov websites use HTTPS**\n\nA **lock** ( ** ) or **https://** means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n Explore This Topic\n\n Search\n\n Search Clear Search\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [For Everyone](/respiratory-viruses/index.html)\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View all](/respiratory-viruses/site.html#gen)\n\n\n\n\n\n\n\n\n\n [Health Care Providers](/respiratory-viruses/hcp/index.html)\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View all](/respiratory-viruses/site.html#hcp)\n\n\n\n\n\n\n\n\n\n [Public Health](/respiratory-viruses/site.html#php)\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View all](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n ** Related Topics: **\n\n\n\n [COVID-19](/covid/index.html) | [Seasonal Flu](/flu/index.html) | [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n *search*\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html) Menu **\n\n\n\n\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View All](/respiratory-viruses/site.html#gen) [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Health Care Providers\n\n\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View All](/respiratory-viruses/site.html#hcp) [Home](/respiratory-viruses/hcp/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Public Health\n\n\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View All](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n Related Topics\n\n\n\n\n\n\n - [COVID-19](/covid/index.html)\n - [Seasonal Flu](/flu/index.html)\n - [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n [About](/respiratory-viruses/about/index.html) [Risk Factors](/respiratory-viruses/risk-factors/index.html) [Prevention](/respiratory-viruses/prevention/index.html) [Treatment](/respiratory-viruses/treatment/index.html) [Caring for Yourself](/respiratory-viruses/immune-health/index.html) [Data and Trends](/respiratory-viruses/data/index.html) [Communication Resources](/respiratory-viruses/communication-resources/index.html) View Menu\n\n\n\n\n\n\n\n\n\n\n\n# Severe Viral Respiratory Illness\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n Sept. 11, 2026\n\n\n\n [Español](/respiratory-viruses/es/data/gravedad.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## At a glance\n\n\n\n\n\n\n - See how severe respiratory illnesses are by reviewing the latest data on hospitalizations and deaths caused by respiratory viruses.\n - Understand how illness severity is changing by tracking trends in your state and nationwide.\n - Discover why these numbers matter; understanding the impact helps you make informed decisions to protect yourself and your family.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Summary\n\n\n\n\n\n\n\n\n\n## Hospitalization numbers\n\n\n\nThis website displays two sources of hospitalization data. The first source is the [CDC's National Healthcare Safety Network](https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html) (NHSN) and the second is [CDC's Respiratory Virus Hospitalization Surveillance Network](/resp-net/dashboard/index.html) (RESP-NET).\n\n\n\n### Hospital admission levels\n\n\n\nCDC monitors the number of hospital admissions for [COVID-19](/covid/index.html), [influenza](/flu/index.html) (flu), and [RSV](/rsv/index.html). The color bar at the top of the map shows the hospitalization level associated with each color. **Click on the tab for COVID-19, influenza, or RSV to see the levels for each disease. Hover over a state to see the levels and additional details**. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more information about data sources.\n\n\n\n### Hospitalization rates reported by hospitals\n\n\n\nCDC tracks the weekly hospitalization rate of respiratory virus-associated hospitalizations per 100,000 people reported to [CDC's National Healthcare Safety Network](https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html) (NHSN). Forecasts of future emergency department visits and hospital admissions are available for [COVID-19](https://www.cdc.gov/cfa-modeling-and-forecasting/covid19-data-vis/index.html?tab=%5BREDACTED%5D), [influenza](https://www.cdc.gov/flu-forecasting/data-vis/current-week.html), and [RSV](https://www.cdc.gov/cfa-modeling-and-forecasting/rsv-data-vis/index.html?tab=%5BREDACTED%5D).\n\n\n\n**Click the drop down at the top of the chart to select the geographic area you are interested in.** **You can move your mouse over the graph to view additional details.** Information about each respiratory illness is in a different color. *Open circles indicate fewer than 80% of hospitals in that area have reported illness numbers.*\n\n\n\nPreliminary data are shaded in gray. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more information about data sources.\n\n\n\n\n\n### Hospitalization rates from a network of hospitals\n\n\n\nBelow, you'll find the weekly hospitalization rates of respiratory virus-associated hospitalizations per 100,000 people from [RESP-NET](/resp-net/dashboard/).\n\n\n\n**Click the box at the top of the chart** to see information about different states or territories. Information about each respiratory illness is in a different color. **Move your mouse over the chart and more information for each week will appear**. Because reporting may be delayed, models estimate what rates would be if all data were complete. Modeled median estimates are shown with dashed lines. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more about data sources.\n\n\n\n\n\n\n\n\n\n\n\n## Viral respiratory deaths in the United States\n\n\n\nThe chart below shows the weekly percentages of total deaths associated with COVID-19, influenza (flu), and RSV. Each respiratory illness is in a different color. **Move your mouse over the chart and more information for each week will appear.** Data from some recent weeks may be incomplete because of reporting delays; these weeks are shaded gray. For more information about the data source, refer to the [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All).\n\n\n\n\n\n\n\n\n\n## Data notes\n\n\n\n\n\n\n\n\n\n### Hospitalization rates: NHSN\n\n\n\n\n\n\n - **SOURCE: **National Healthcare Safety Network (NHSN)\n\n\n - **Data source description**: As of November 1, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are required to be reported to HHS through CDC's NHSN based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about [reporting to NHSN](/nhsn/psc/hospital-respiratory-reporting.html).\n - **Data quality and timeliness: **CDC reviews reported data for completeness and errors and works with partners to update the data as needed. Data for the most recent two weeks may be affected by potential reporting delays; caution should be taken when interpreting these numbers.\n - **Metrics and inclusion criteria: **Many hospital types, including acute care and critical access hospitals, are included in the hospitalization rate and level calculations displayed on this page. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations. Hospitals that report hospital admissions data for the entire week to NHSN during a given reporting week of Sunday through Saturday, are included in the jurisdiction admissions rate calculations and the accompanying visualizations.\n - **Respiratory virus-associated hospitalization rates** are calculated as the total number of new hospital admissions reported to NHSN for a given reporting week (Sunday – Saturday) divided by the total population for a given geography (per 100,000 people) according to the U.S. Census 2023 population estimates.\n - **Hospital admission levels** are determined based on the respiratory virus-associated hospitalization rates. The map shows the hospital admissions level for states and territories in the United States. This metric indicates whether the amount of people being admitted to the hospital for respiratory illnesses is very low, low, moderate, high, or very high for a given jurisdiction and reporting week (Sunday - Saturday). If you see increased hospital admission levels of COVID-19, flu, or RSV, it might indicate there is a higher risk of infection. For more information on the hospital admissions levels, see [NHSN hospital admissions methodology](/nhsn/psc/hospital-respiratory-reporting/data-methods.html).\n - **Percent of hospitals** **reporting **is calculated based on the number of hospitals reporting complete hospital admissions data (e.g., total admissions for the entire week) to NHSN for a given reporting week out of all hospitals that have reported to the system since the implementation of NHSN Hospital Respiratory Data in November 2024 (excluding the types listed above). Open circles on the time series display and hashed lines on the map display indicate less than 80% of hospitals reported numbers for a given jurisdiction in a reporting week. States or territories without sufficient data (less than 80% of hospitals reporting) are indicated as \"Data unavailable”.\n - The NHSN-based hospital bed occupancy from January 2022 to May 2024 was archived on May 10, 2024; it can be found at [Archived: Hospital Occupancy (cdc.gov)](https://archive.cdc.gov/www_cdc_gov/respiratory-viruses/data-research/dashboard/hospital-occupancy.html)[.](https://archive.cdc.gov/www_cdc_gov/respiratory-viruses/data-research/dashboard/hospital-occupancy.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Hospitalization rates: RESP-NET\n\n\n\n\n\n\n - **SOURCE:** Respiratory Virus Hospitalization Surveillance Network (RESP-NET).\n - Combined is the sum of COVID-19, flu, and respiratory syncytial virus (RSV) hospitalization rates.\n - Additional information, including the surveillance catchment area, is available on the [RESP-NET website](/resp-net/dashboard/index.html).\n - Hospitalization rates are calculated using the National Center for Health Statistics (NCHS) vintage bridged-race postcensal population estimates (for March–September 2020) or the U.S. Census vintage unbridged-race postcensal population estimates (for October 2020–present) for the counties or county equivalents included in the surveillance area.\n - RESP-NET surveillance for COVID-19 and RSV have been conducted year-round since 2020.\n - FluSurv-NET surveillance was traditionally conducted from October 1 through April 30 of the following year; however, starting with the 2025-26 season it will be conducted year-round.\n - Rates are likely to underestimate the impact of COVID-19, flu, and RSV on hospitalizations because of undertesting, differing provider or facility testing practices, and diagnostic test sensitivity. Rates presented do not adjust for testing practices which may differ by pathogen, age, race and ethnicity, and other demographic criteria.\n - The data points for the 3 most recent weeks of data represent estimates of the RESP-NET hospitalization rates, called \"[nowcasts](https://www.cdc.gov/cfa-behind-the-model/php/data-research/nowcasting.html),\" which are model-based estimates that account for delayed reporting of recent hospitalizations to estimate the RESP-NET rates from the partial data received so far. Observed data values, estimated ranges, and additional details about the model estimation are available on the [RESP-NET website](/resp-net/dashboard/index.html).\n - Because population estimates for ages 0–1 year are not available in smaller groupings, we split that number in two to estimate the populations for children younger than 6 months and for children 6 to less than 12 months.\n - Black, White, American Indian/Alaska Native, and Asian/Pacific Islander people were categorized as non-Hispanic; Hispanic people could be of any race. If Hispanic ethnicity was unknown, non-Hispanic ethnicity was assumed. Rates presented by race and ethnicity are calculated using records with known races. Those with missing or unknown race are excluded from race-specific estimates but are included in overall estimates.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Viral respiratory deaths\n\n\n\n\n\n\n - **SOURCE:** Provisional Deaths from the CDC's National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS). Accessed from [CDC Wonder](https://wonder.cdc.gov/mcd-icd10-provisional.html).\n - Provisional data are non-final counts of deaths based on mortality data in NVSS. Data during recent periods are incomplete because of the gap in time between when a death occurs and when a death certificate is completed, submitted to NCHS, and processed for reporting. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction.\n - Definitions: When a person dies, the underlying and contributing causes are recorded in the form of ICD-10 codes. Cause-specific death counts are defined as those deaths with the designated ICD-10. In this case, the ICD-10 code definitions are as follows: COVID-19 (U07.1), flu (J09-J11), RSV (J12.1, J20.5, J21.0).\n - The death certificate data presented here provide a timely understanding of trends in deaths associated with each condition. However, it has been long recognized that only counting deaths where flu was recorded on death certificates would [underestimate flu's overall impact on mortality](/flu-burden/php/about/how-cdc-estimates.html). Flu can lead to death from other causes, such as pneumonia and congestive heart failure; however, it may not be listed on the death certificate as a contributing cause for multiple reasons, including a lack of testing. Therefore, CDC has an established history of using models to [estimate influenza-associated death totals](/flu-burden/php/data-vis/). In the fall of 2024, CDC released [COVID-19](/covid/php/surveillance/burden-estimates.html) and [RSV](https://www.cdc.gov/rsv/php/surveillance/burden-estimates.html) estimated death totals.\n - Death data are displayed by date of death. Death data reported are based on the total number of deaths received and coded in a certain time period and may not represent all deaths that occurred in that period. Death counts are updated as additional data are received.\n - Percent of deaths is not presented for weeks where death counts are between 1-9 in accordance with NCHS data confidentiality standards.\n - Provisional death data represent deaths among U.S. residents and occurring in the 50 states, plus the District of Columbia. Assignment to a geographic area is based on the place of residence listed on the death certificate.\n - The percentage of all reported deaths that are attributed as COVID-19, flu, and RSV is calculated as the number of COVID-19, flu, and RSV deaths divided by the number of deaths from all causes multiplied by 100. The percentage of deaths is less affected by incomplete reporting in recent weeks because death certificate data from natural causes of death and all causes have similar timeliness.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Explore source data\n\n\n - [RESP-NET Respiratory Virus Hospitalizations Dashboard](/resp-net/dashboard/index.html)\n - [NHSN Hospital Respiratory Data Dashboard](/nhsn/psc/hospital-respiratory-dashboard.html)\n - [Influenza Hospitalizations Dashboards](https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html)\n - [RSV Hospitalizations Dashboard](/rsv/php/surveillance/rsv-net.html)\n - [Estimates of COVID-19 Burden](/covid/php/surveillance/burden-estimates.html)\n - [COVID-19 Death Data](/nchs/nvss/vsrr/COVID19/index.htm)\n\n\n\n\n\n\n\n\n\n\n\n## On This Page\n\n\n\n\n - [Summary](#cdc_data_surveillance_section_1-summary)\n - [Hospitalization numbers](#cdc_data_surveillance_section_2-hospitalization-numbers)\n - [Viral respiratory deaths in the United States](#cdc_data_surveillance_section_3-viral-respiratory-deaths-in-the-united-states)\n - [Data notes](#cdc_data_surveillance_section_4-data-notes)\n - [Explore source data](#cdc_data_surveillance_section_5-explore-source-data)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Sept. 11, 2026\n\n\n\n\n\n [Sources and Page Info](#content-sources) [Print](#print) [Share](#share)\n\n # # # #\n\n\n\n\n\n\n\n [Facebook](https://www.facebook.com/) [LinkedIn](https://www.linkedin.com/) [Twitter](https://twitter.com/) [Syndicate](https://tools.cdc.gov/medialibrary/index.aspx#[REDACTED])\n\n\n\n\n\n\n\n\n\nContent Source\n\n [National Center for Immunization and Respiratory Diseases (NCIRD)](/ncird/index.html)\n\n\n\n About This Page\n\n\n\n Published: April 24, 2026\n\n\n\n Updated: September 11, 2026\n\nThis page was last updated on this date. Updates may include minor edits, image changes, or other modifications to page content.\n\n\n\n\n\n Reviewed: September 11, 2026\n\nThe information on this page was last reviewed by subject matter experts to ensure accuracy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## [** Respiratory Illnesses **](/respiratory-viruses/index.html)\n\n\n\nRespiratory illnesses affect the lungs and airways. Get information on common causes, prevention actions, and current levels of illness in your community.\n\n [View All](/respiratory-viruses/site.html)\n\n\n\n\n\n\n\n\n\n### [For Everyone](/respiratory-viruses/index.html#gen)\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n\n\n\n\n\n\n\n\n\n### [Health Care Providers](/respiratory-viruses/hcp/index.html#hcp)\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n\n\n\n\n\n\n\n### [Public Health](/respiratory-viruses/site.html#php)\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n\n\n\n\n\n\n\n\n\n\n\n ** [Sign up for Email Updates](https://tools.cdc.gov/campaignproxyservice/subscriptions.aspx#[REDACTED]) **\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Contact Us](#contactUs)\n\n\n\n [Contact Us](https://www.cdc.gov/cdc-info/index.html)\n - [Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n\n\n [About CDC](#aboutCDC)\n\n\n\n [About CDC](https://www.cdc.gov/about/)\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n\n\n\n\n\n [Policies](#policies)\n\n\n\n\n\n\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n\n\n\n\n - 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[Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n [About CDC](#mobile-footer-aboutCDC)\n\n\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n - [About CDC](https://www.cdc.gov/about/)\n\n\n\n [Policies](#mobile-footer-policies)\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n - [FOIA](https://www.cdc.gov/foia/)\n - [OIG](https://oig.hhs.gov/)\n - [No Fear Act](https://www.cdc.gov/oeeowe/no-fear-act/)\n - [Nondiscrimination](https://www.cdc.gov/other/nondiscrimination.html)\n - [Vulnerability Disclosure Policy](https://www.hhs.gov/vulnerability-disclosure-policy/index.html)\n\n\n\n [Languages](#mobile-footer-languages)\n\n\n\nLanguages\n\n\n - [Español](https://www.cdc.gov/spanish/)\n\n\n\nLanguage Assistance\n\n\n - [Español](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [繁體中文](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tiếng Việt](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [한국어](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tagalog](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Русский](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [العربية](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Kreyòl Ayisyen](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Français](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Polski](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Português](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Italiano](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Deutsch](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [日本語](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [فارسی](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [English](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n [Archive](#mobile-footer-archive)\n\n\n - [CDC Archive](https://archive.cdc.gov/)\n - [Public Health Publications](https://stacks.cdc.gov/)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov/)\n\n\n\n\n\n [**](https://www.facebook.com/CDC) [**](https://twitter.com/CDCgov) [**](https://www.instagram.com/CDCgov) [**](https://www.linkedin.com/company/centers-for-disease-control-and-prevention)\n\n\n\n [**](https://www.youtube.com/cdc) [**](https://www.pinterest.com/cdcgov) [**](https://www.snapchat.com/add/cdcgov) [**](https://www.cdc.gov/rss)\n\n\n\n\n\n\n\n\n\n\n\n [HHS.gov](https://hhs.gov) [USA.gov](https://usa.gov)\n\n\n\n\n\n\n\n\n\n\n\n **",
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"content": "Severe Viral Respiratory Illness | Respiratory Illnesses | CDC\n\n [Skip directly to site content](#content) [Skip directly to search](#cdc-search__input)\n\n\n\n\n\n\n\n\n\n\n\n\n\n  An official website of the United States government\n\n [Here's how you know](#gov-notice)\n\n\n\n\n\n\n\n \n\n **Official websites use .gov**\n\nA **.gov** website belongs to an official government organization in the United States.\n\n\n\n\n\n\n\n \n\n **Secure .gov websites use HTTPS**\n\nA **lock** ( ** ) or **https://** means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n Explore This Topic\n\n Search\n\n Search Clear Search\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [For Everyone](/respiratory-viruses/index.html)\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View all](/respiratory-viruses/site.html#gen)\n\n\n\n\n\n\n\n\n\n [Health Care Providers](/respiratory-viruses/hcp/index.html)\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View all](/respiratory-viruses/site.html#hcp)\n\n\n\n\n\n\n\n\n\n [Public Health](/respiratory-viruses/site.html#php)\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View all](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n ** Related Topics: **\n\n\n\n [COVID-19](/covid/index.html) | [Seasonal Flu](/flu/index.html) | [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n *search*\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html) Menu **\n\n\n\n\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View All](/respiratory-viruses/site.html#gen) [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Health Care Providers\n\n\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View All](/respiratory-viruses/site.html#hcp) [Home](/respiratory-viruses/hcp/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Public Health\n\n\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View All](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n Related Topics\n\n\n\n\n\n\n - [COVID-19](/covid/index.html)\n - [Seasonal Flu](/flu/index.html)\n - [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n [About](/respiratory-viruses/about/index.html) [Risk Factors](/respiratory-viruses/risk-factors/index.html) [Prevention](/respiratory-viruses/prevention/index.html) [Treatment](/respiratory-viruses/treatment/index.html) [Caring for Yourself](/respiratory-viruses/immune-health/index.html) [Data and Trends](/respiratory-viruses/data/index.html) [Communication Resources](/respiratory-viruses/communication-resources/index.html) View Menu\n\n\n\n\n\n\n\n\n\n\n\n# Severe Viral Respiratory Illness\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n Sept. 11, 2026\n\n\n\n [Español](/respiratory-viruses/es/data/gravedad.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## At a glance\n\n\n\n\n\n\n - See how severe respiratory illnesses are by reviewing the latest data on hospitalizations and deaths caused by respiratory viruses.\n - Understand how illness severity is changing by tracking trends in your state and nationwide.\n - Discover why these numbers matter; understanding the impact helps you make informed decisions to protect yourself and your family.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Summary\n\n\n\n\n\n\n\n\n\n## Hospitalization numbers\n\n\n\nThis website displays two sources of hospitalization data. The first source is the [CDC's National Healthcare Safety Network](https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html) (NHSN) and the second is [CDC's Respiratory Virus Hospitalization Surveillance Network](/resp-net/dashboard/index.html) (RESP-NET).\n\n\n\n### Hospital admission levels\n\n\n\nCDC monitors the number of hospital admissions for [COVID-19](/covid/index.html), [influenza](/flu/index.html) (flu), and [RSV](/rsv/index.html). The color bar at the top of the map shows the hospitalization level associated with each color. **Click on the tab for COVID-19, influenza, or RSV to see the levels for each disease. Hover over a state to see the levels and additional details**. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more information about data sources.\n\n\n\n### Hospitalization rates reported by hospitals\n\n\n\nCDC tracks the weekly hospitalization rate of respiratory virus-associated hospitalizations per 100,000 people reported to [CDC's National Healthcare Safety Network](https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html) (NHSN). Forecasts of future emergency department visits and hospital admissions are available for [COVID-19](https://www.cdc.gov/cfa-modeling-and-forecasting/covid19-data-vis/index.html?tab=%5BREDACTED%5D), [influenza](https://www.cdc.gov/flu-forecasting/data-vis/current-week.html), and [RSV](https://www.cdc.gov/cfa-modeling-and-forecasting/rsv-data-vis/index.html?tab=%5BREDACTED%5D).\n\n\n\n**Click the drop down at the top of the chart to select the geographic area you are interested in.** **You can move your mouse over the graph to view additional details.** Information about each respiratory illness is in a different color. *Open circles indicate fewer than 80% of hospitals in that area have reported illness numbers.*\n\n\n\nPreliminary data are shaded in gray. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more information about data sources.\n\n\n\n\n\n### Hospitalization rates from a network of hospitals\n\n\n\nBelow, you'll find the weekly hospitalization rates of respiratory virus-associated hospitalizations per 100,000 people from [RESP-NET](/resp-net/dashboard/).\n\n\n\n**Click the box at the top of the chart** to see information about different states or territories. Information about each respiratory illness is in a different color. **Move your mouse over the chart and more information for each week will appear**. Because reporting may be delayed, models estimate what rates would be if all data were complete. Modeled median estimates are shown with dashed lines. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more about data sources.\n\n\n\n\n\n\n\n\n\n\n\n## Viral respiratory deaths in the United States\n\n\n\nThe chart below shows the weekly percentages of total deaths associated with COVID-19, influenza (flu), and RSV. Each respiratory illness is in a different color. **Move your mouse over the chart and more information for each week will appear.** Data from some recent weeks may be incomplete because of reporting delays; these weeks are shaded gray. For more information about the data source, refer to the [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All).\n\n\n\n\n\n\n\n\n\n## Data notes\n\n\n\n\n\n\n\n\n\n### Hospitalization rates: NHSN\n\n\n\n\n\n\n - **SOURCE: **National Healthcare Safety Network (NHSN)\n\n\n - **Data source description**: As of November 1, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are required to be reported to HHS through CDC's NHSN based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about [reporting to NHSN](/nhsn/psc/hospital-respiratory-reporting.html).\n - **Data quality and timeliness: **CDC reviews reported data for completeness and errors and works with partners to update the data as needed. Data for the most recent two weeks may be affected by potential reporting delays; caution should be taken when interpreting these numbers.\n - **Metrics and inclusion criteria: **Many hospital types, including acute care and critical access hospitals, are included in the hospitalization rate and level calculations displayed on this page. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations. Hospitals that report hospital admissions data for the entire week to NHSN during a given reporting week of Sunday through Saturday, are included in the jurisdiction admissions rate calculations and the accompanying visualizations.\n - **Respiratory virus-associated hospitalization rates** are calculated as the total number of new hospital admissions reported to NHSN for a given reporting week (Sunday – Saturday) divided by the total population for a given geography (per 100,000 people) according to the U.S. Census 2023 population estimates.\n - **Hospital admission levels** are determined based on the respiratory virus-associated hospitalization rates. The map shows the hospital admissions level for states and territories in the United States. This metric indicates whether the amount of people being admitted to the hospital for respiratory illnesses is very low, low, moderate, high, or very high for a given jurisdiction and reporting week (Sunday - Saturday). If you see increased hospital admission levels of COVID-19, flu, or RSV, it might indicate there is a higher risk of infection. For more information on the hospital admissions levels, see [NHSN hospital admissions methodology](/nhsn/psc/hospital-respiratory-reporting/data-methods.html).\n - **Percent of hospitals** **reporting **is calculated based on the number of hospitals reporting complete hospital admissions data (e.g., total admissions for the entire week) to NHSN for a given reporting week out of all hospitals that have reported to the system since the implementation of NHSN Hospital Respiratory Data in November 2024 (excluding the types listed above). Open circles on the time series display and hashed lines on the map display indicate less than 80% of hospitals reported numbers for a given jurisdiction in a reporting week. States or territories without sufficient data (less than 80% of hospitals reporting) are indicated as \"Data unavailable”.\n - The NHSN-based hospital bed occupancy from January 2022 to May 2024 was archived on May 10, 2024; it can be found at [Archived: Hospital Occupancy (cdc.gov)](https://archive.cdc.gov/www_cdc_gov/respiratory-viruses/data-research/dashboard/hospital-occupancy.html)[.](https://archive.cdc.gov/www_cdc_gov/respiratory-viruses/data-research/dashboard/hospital-occupancy.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Hospitalization rates: RESP-NET\n\n\n\n\n\n\n - **SOURCE:** Respiratory Virus Hospitalization Surveillance Network (RESP-NET).\n - Combined is the sum of COVID-19, flu, and respiratory syncytial virus (RSV) hospitalization rates.\n - Additional information, including the surveillance catchment area, is available on the [RESP-NET website](/resp-net/dashboard/index.html).\n - Hospitalization rates are calculated using the National Center for Health Statistics (NCHS) vintage bridged-race postcensal population estimates (for March–September 2020) or the U.S. Census vintage unbridged-race postcensal population estimates (for October 2020–present) for the counties or county equivalents included in the surveillance area.\n - RESP-NET surveillance for COVID-19 and RSV have been conducted year-round since 2020.\n - FluSurv-NET surveillance was traditionally conducted from October 1 through April 30 of the following year; however, starting with the 2025-26 season it will be conducted year-round.\n - Rates are likely to underestimate the impact of COVID-19, flu, and RSV on hospitalizations because of undertesting, differing provider or facility testing practices, and diagnostic test sensitivity. Rates presented do not adjust for testing practices which may differ by pathogen, age, race and ethnicity, and other demographic criteria.\n - The data points for the 3 most recent weeks of data represent estimates of the RESP-NET hospitalization rates, called \"[nowcasts](https://www.cdc.gov/cfa-behind-the-model/php/data-research/nowcasting.html),\" which are model-based estimates that account for delayed reporting of recent hospitalizations to estimate the RESP-NET rates from the partial data received so far. Observed data values, estimated ranges, and additional details about the model estimation are available on the [RESP-NET website](/resp-net/dashboard/index.html).\n - Because population estimates for ages 0–1 year are not available in smaller groupings, we split that number in two to estimate the populations for children younger than 6 months and for children 6 to less than 12 months.\n - Black, White, American Indian/Alaska Native, and Asian/Pacific Islander people were categorized as non-Hispanic; Hispanic people could be of any race. If Hispanic ethnicity was unknown, non-Hispanic ethnicity was assumed. Rates presented by race and ethnicity are calculated using records with known races. Those with missing or unknown race are excluded from race-specific estimates but are included in overall estimates.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Viral respiratory deaths\n\n\n\n\n\n\n - **SOURCE:** Provisional Deaths from the CDC's National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS). Accessed from [CDC Wonder](https://wonder.cdc.gov/mcd-icd10-provisional.html).\n - Provisional data are non-final counts of deaths based on mortality data in NVSS. Data during recent periods are incomplete because of the gap in time between when a death occurs and when a death certificate is completed, submitted to NCHS, and processed for reporting. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction.\n - Definitions: When a person dies, the underlying and contributing causes are recorded in the form of ICD-10 codes. Cause-specific death counts are defined as those deaths with the designated ICD-10. In this case, the ICD-10 code definitions are as follows: COVID-19 (U07.1), flu (J09-J11), RSV (J12.1, J20.5, J21.0).\n - The death certificate data presented here provide a timely understanding of trends in deaths associated with each condition. However, it has been long recognized that only counting deaths where flu was recorded on death certificates would [underestimate flu's overall impact on mortality](/flu-burden/php/about/how-cdc-estimates.html). Flu can lead to death from other causes, such as pneumonia and congestive heart failure; however, it may not be listed on the death certificate as a contributing cause for multiple reasons, including a lack of testing. Therefore, CDC has an established history of using models to [estimate influenza-associated death totals](/flu-burden/php/data-vis/). In the fall of 2024, CDC released [COVID-19](/covid/php/surveillance/burden-estimates.html) and [RSV](https://www.cdc.gov/rsv/php/surveillance/burden-estimates.html) estimated death totals.\n - Death data are displayed by date of death. Death data reported are based on the total number of deaths received and coded in a certain time period and may not represent all deaths that occurred in that period. Death counts are updated as additional data are received.\n - Percent of deaths is not presented for weeks where death counts are between 1-9 in accordance with NCHS data confidentiality standards.\n - Provisional death data represent deaths among U.S. residents and occurring in the 50 states, plus the District of Columbia. Assignment to a geographic area is based on the place of residence listed on the death certificate.\n - The percentage of all reported deaths that are attributed as COVID-19, flu, and RSV is calculated as the number of COVID-19, flu, and RSV deaths divided by the number of deaths from all causes multiplied by 100. The percentage of deaths is less affected by incomplete reporting in recent weeks because death certificate data from natural causes of death and all causes have similar timeliness.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Explore source data\n\n\n - [RESP-NET Respiratory Virus Hospitalizations Dashboard](/resp-net/dashboard/index.html)\n - [NHSN Hospital Respiratory Data Dashboard](/nhsn/psc/hospital-respiratory-dashboard.html)\n - [Influenza Hospitalizations Dashboards](https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html)\n - [RSV Hospitalizations Dashboard](/rsv/php/surveillance/rsv-net.html)\n - [Estimates of COVID-19 Burden](/covid/php/surveillance/burden-estimates.html)\n - [COVID-19 Death Data](/nchs/nvss/vsrr/COVID19/index.htm)\n\n\n\n\n\n\n\n\n\n\n\n## On This Page\n\n\n\n\n - [Summary](#cdc_data_surveillance_section_1-summary)\n - [Hospitalization numbers](#cdc_data_surveillance_section_2-hospitalization-numbers)\n - [Viral respiratory deaths in the United States](#cdc_data_surveillance_section_3-viral-respiratory-deaths-in-the-united-states)\n - [Data notes](#cdc_data_surveillance_section_4-data-notes)\n - [Explore source data](#cdc_data_surveillance_section_5-explore-source-data)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Sept. 11, 2026\n\n\n\n\n\n [Sources and Page Info](#content-sources) [Print](#print) [Share](#share)\n\n # # # #\n\n\n\n\n\n\n\n [Facebook](https://www.facebook.com/) [LinkedIn](https://www.linkedin.com/) [Twitter](https://twitter.com/) [Syndicate](https://tools.cdc.gov/medialibrary/index.aspx#[REDACTED])\n\n\n\n\n\n\n\n\n\nContent Source\n\n [National Center for Immunization and Respiratory Diseases (NCIRD)](/ncird/index.html)\n\n\n\n About This Page\n\n\n\n Published: April 24, 2026\n\n\n\n Updated: September 11, 2026\n\nThis page was last updated on this date. Updates may include minor edits, image changes, or other modifications to page content.\n\n\n\n\n\n Reviewed: September 11, 2026\n\nThe information on this page was last reviewed by subject matter experts to ensure accuracy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## [** Respiratory Illnesses **](/respiratory-viruses/index.html)\n\n\n\nRespiratory illnesses affect the lungs and airways. Get information on common causes, prevention actions, and current levels of illness in your community.\n\n [View All](/respiratory-viruses/site.html)\n\n\n\n\n\n\n\n\n\n### [For Everyone](/respiratory-viruses/index.html#gen)\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n\n\n\n\n\n\n\n\n\n### [Health Care Providers](/respiratory-viruses/hcp/index.html#hcp)\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n\n\n\n\n\n\n\n### [Public Health](/respiratory-viruses/site.html#php)\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n\n\n\n\n\n\n\n\n\n\n\n ** [Sign up for Email Updates](https://tools.cdc.gov/campaignproxyservice/subscriptions.aspx#[REDACTED]) **\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Contact Us](#contactUs)\n\n\n\n [Contact Us](https://www.cdc.gov/cdc-info/index.html)\n - [Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n\n\n [About CDC](#aboutCDC)\n\n\n\n [About CDC](https://www.cdc.gov/about/)\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n\n\n\n\n\n [Policies](#policies)\n\n\n\n\n\n\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n\n\n\n\n - 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[Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n [About CDC](#mobile-footer-aboutCDC)\n\n\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n - [About CDC](https://www.cdc.gov/about/)\n\n\n\n [Policies](#mobile-footer-policies)\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n - [FOIA](https://www.cdc.gov/foia/)\n - [OIG](https://oig.hhs.gov/)\n - [No Fear Act](https://www.cdc.gov/oeeowe/no-fear-act/)\n - [Nondiscrimination](https://www.cdc.gov/other/nondiscrimination.html)\n - [Vulnerability Disclosure Policy](https://www.hhs.gov/vulnerability-disclosure-policy/index.html)\n\n\n\n [Languages](#mobile-footer-languages)\n\n\n\nLanguages\n\n\n - [Español](https://www.cdc.gov/spanish/)\n\n\n\nLanguage Assistance\n\n\n - [Español](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [繁體中文](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tiếng Việt](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [한국어](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tagalog](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Русский](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [العربية](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Kreyòl Ayisyen](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Français](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Polski](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Português](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Italiano](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Deutsch](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [日本語](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [فارسی](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [English](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n [Archive](#mobile-footer-archive)\n\n\n - [CDC Archive](https://archive.cdc.gov/)\n - [Public Health Publications](https://stacks.cdc.gov/)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov/)\n\n\n\n\n\n [**](https://www.facebook.com/CDC) [**](https://twitter.com/CDCgov) [**](https://www.instagram.com/CDCgov) [**](https://www.linkedin.com/company/centers-for-disease-control-and-prevention)\n\n\n\n [**](https://www.youtube.com/cdc) [**](https://www.pinterest.com/cdcgov) [**](https://www.snapchat.com/add/cdcgov) [**](https://www.cdc.gov/rss)\n\n\n\n\n\n\n\n\n\n\n\n [HHS.gov](https://hhs.gov) [USA.gov](https://usa.gov)\n\n\n\n\n\n\n\n\n\n\n\n **",
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web_fetch completeddispatch toolu_01XiVuV9SdSfhwNCdSgqqouP
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Tool Progress E0024
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Tool Result E0025
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[...truncated 13350 characters...]
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[...truncated]
Sub-agent trace (toolu_01XiVuV9SdSfhwNCdSgqqouP, 3 events)
tools_started web_fetch t=117995.532
Inner payload
{
"tool_name": "web_fetch",
"tool_input": {
"brief": "COVID positivity dataset availability",
"url": "https://data.cdc.gov/resource/gvsb-yw6g.json"
},
"dispatch_id": "toolu_01XiVuV9SdSfhwNCdSgqqouP",
"parent_dispatch_id": "",
"handle": "",
"panel_kind": "web_fetch"
}tools_progress web_fetch t=117995.533
Inner payload
{
"tool_name": "web_fetch",
"dispatch_id": "toolu_01XiVuV9SdSfhwNCdSgqqouP",
"status": "running",
"result": null,
"error": "",
"elapsed": null,
"fields": {
"progress": {
"message": "COVID positivity dataset availability",
"metadata": {
"browser_chain": false,
"url": "https://data.cdc.gov/resource/gvsb-yw6g.json"
}
},
"status": "running",
"updatedAt": 1789169386290
}
}tools_completed web_fetch t=117995.534
Inner payload
{
"tool_name": "web_fetch",
"dispatch_id": "toolu_01XiVuV9SdSfhwNCdSgqqouP",
"status": "completed",
"result": "{\"content\":\"[{\\\"level\\\":\\\"National\\\",\\\"perc_diff\\\":\\\"-2.9\\\",\\\"percent_pos\\\":\\\"9.37\\\",\\\"percent_pos_2_week\\\":\\\"13.2\\\",\\\"percent_pos_4_week\\\":\\\"13.2\\\",\\\"number_tested\\\":\\\"38401\\\",\\\"number_tested_2_week\\\":\\\"9540\\\",\\\"number_tested_4_week\\\":\\\"9797\\\",\\\"posted\\\":\\\"2026-07-16T10:09:43.635\\\",\\\"mmwrweek_end\\\":\\\"2020-03-14T00:00:00.000\\\"}\\n,{\\\"level\\\":\\\"Region 1\\\",\\\"perc_diff\\\":\\\"-9.7\\\",\\\"percent_pos\\\":\\\"8.5\\\",\\\"percent_pos_2_week\\\":\\\"18.1\\\",\\\"percent_pos_4_week\\\":\\\"17.7\\\",\\\"number_tested\\\":\\\"3495\\\",\\\"number_tested_2_week\\\":\\\"828\\\",\\\"number_tested_4_week\\\":\\\"857\\\",\\\"posted\\\":\\\"2026-07-16T10:09:43.635\\\",\\\"mmwrweek_end\\\":\\\"2020-03-14T00:00:00.000\\\"}\\n,{\\\"level\\\":\\\"Region 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"error": "",
"elapsed": 0.473877207
}
web_fetch completeddispatch toolu_01HCcLv3PbxYBKsu5378PFnw
Input
{
"brief": "Latest COVID positivity by HHS region",
"max_age_seconds": 3600,
"url": "https://data.cdc.gov/resource/gvsb-yw6g.json?%24order=%5BREDACTED%5D&%24limit=%5BREDACTED%5D"
}
Tool Progress E0030
(no result)
Tool Result E0031
{
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3\",\"perc_diff\":\"0\",\"percent_pos\":\"3.26\",\"percent_pos_2_week\":\"3.2\",\"percent_pos_4_week\":\"2.5\",\"number_tested\":\"2488\",\"number_tested_2_week\":\"5313\",\"number_tested_4_week\":\"10247\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-09-05T00:00:00.000\"}\n,{\"level\":\"Region 2\",\"perc_diff\":\"0\",\"percent_pos\":\"3.18\",\"percent_pos_2_week\":\"3.1\",\"percent_pos_4_week\":\"2.9\",\"number_tested\":\"2107\",\"number_tested_2_week\":\"4249\",\"number_tested_4_week\":\"8283\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-09-05T00:00:00.000\"}\n,{\"level\":\"Region 10\",\"perc_diff\":\"-0.6\",\"percent_pos\":\"6.31\",\"percent_pos_2_week\":\"7.1\",\"percent_pos_4_week\":\"6.4\",\"number_tested\":\"1506\",\"number_tested_2_week\":\"3449\",\"number_tested_4_week\":\"6680\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-09-05T00:00:00.000\"}\n,{\"level\":\"Region 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5\",\"perc_diff\":\"0.9\",\"percent_pos\":\"2.72\",\"percent_pos_2_week\":\"1.8\",\"percent_pos_4_week\":\"1.7\",\"number_tested\":\"8832\",\"number_tested_2_week\":\"15206\",\"number_tested_4_week\":\"29448\",\"posted\":\"2026-09-09T20:41:13.337\",\"mmwrweek_end\":\"2026-08-29T00:00:00.000\"}\n,{\"level\":\"Region 4\",\"perc_diff\":\"-1.5\",\"percent_pos\":\"6.12\",\"percent_pos_2_week\":\"6.7\",\"percent_pos_4_week\":\"5.8\",\"number_tested\":\"2548\",\"number_tested_2_week\":\"7026\",\"number_tested_4_week\":\"13865\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-08-29T00:00:00.000\"}\n,{\"level\":\"Region 3\",\"perc_diff\":\"0.3\",\"percent_pos\":\"3.3\",\"percent_pos_2_week\":\"2.6\",\"percent_pos_4_week\":\"2.1\",\"number_tested\":\"2754\",\"number_tested_2_week\":\"4960\",\"number_tested_4_week\":\"9870\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-08-29T00:00:00.000\"}\n,{\"level\":\"Region 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1\",\"perc_diff\":\"0.6\",\"percent_pos\":\"3.18\",\"percent_pos_2_week\":\"2.7\",\"percent_pos_4_week\":\"2.4\",\"number_tested\":\"1511\",\"number_tested_2_week\":\"3921\",\"number_tested_4_week\":\"7731\",\"posted\":\"2026-09-02T19:22:27.929\",\"mmwrweek_end\":\"2026-08-29T00:00:00.000\"}\n,{\"level\":\"Region 10\",\"perc_diff\":\"0\",\"percent_pos\":\"7.02\",\"percent_pos_2_week\":\"6.8\",\"percent_pos_4_week\":\"5.5\",\"number_tested\":\"1381\",\"number_tested_2_week\":\"3257\",\"number_tested_4_week\":\"6300\",\"posted\":\"2026-09-02T19:22:27.929\",\"mmwrweek_end\":\"2026-08-29T00:00:00.000\"}\n,{\"level\":\"Region 2\",\"perc_diff\":\"0\",\"percent_pos\":\"3.06\",\"percent_pos_2_week\":\"2.9\",\"percent_pos_4_week\":\"2.5\",\"number_tested\":\"1930\",\"number_tested_2_week\":\"4214\",\"number_tested_4_week\":\"7477\",\"posted\":\"2026-09-02T19:22:27.929\",\"mmwrweek_end\":\"2026-08-29T00:00:00.000\"}\n,{\"level\":\"Region 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4\",\"perc_diff\":\"1.8\",\"percent_pos\":\"7.6\",\"percent_pos_2_week\":\"5.6\",\"percent_pos_4_week\":\"4.8\",\"number_tested\":\"3248\",\"number_tested_2_week\":\"7279\",\"number_tested_4_week\":\"13928\",\"posted\":\"2026-09-09T20:41:13.338\",\"mmwrweek_end\":\"2026-08-22T00:00:00.000\"}\n,{\"level\":\"Region 3\",\"perc_diff\":\"0.9\",\"percent_pos\":\"3.01\",\"percent_pos_2_week\":\"1.8\",\"percent_pos_4_week\":\"1.6\",\"number_tested\":\"2559\",\"number_tested_2_week\":\"4934\",\"number_tested_4_week\":\"9716\",\"posted\":\"2026-09-09T20:41:13.337\",\"mmwrweek_end\":\"2026-08-22T00:00:00.000\"}\n,{\"level\":\"Region 2\",\"perc_diff\":\"0.3\",\"percent_pos\":\"3.08\",\"percent_pos_2_week\":\"2.7\",\"percent_pos_4_week\":\"2\",\"number_tested\":\"2142\",\"number_tested_2_week\":\"4034\",\"number_tested_4_week\":\"6849\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-08-22T00:00:00.000\"}\n,{\"level\":\"Region 10\",\"perc_diff\":\"0.7\",\"percent_pos\":\"7.22\",\"percent_pos_2_week\":\"5.8\",\"percent_pos_4_week\":\"4.5\",\"number_tested\":\"1744\",\"number_tested_2_week\":\"3231\",\"number_tested_4_week\":\"6404\",\"posted\":\"2026-09-09T20:41:13.337\",\"mmwrweek_end\":\"2026-08-22T00:00:00.000\"}\n,{\"level\":\"Region 1\",\"perc_diff\":\"-0.3\",\"percent_pos\":\"2.57\",\"percent_pos_2_week\":\"2.3\",\"percent_pos_4_week\":\"2.1\",\"number_tested\":\"2027\",\"number_tested_2_week\":\"3715\",\"number_tested_4_week\":\"7603\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-08-22T00:00:00.000\"}\n,{\"level\":\"National\",\"perc_diff\":\"0.9\",\"percent_pos\":\"5.3\",\"percent_pos_2_week\":\"4.1\",\"percent_pos_4_week\":\"3.5\",\"number_tested\":\"35780\",\"number_tested_2_week\":\"64369\",\"number_tested_4_week\":\"126832\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-08-22T00:00:00.000\"}]\n",
"content_length": 12090,
"content_type": "application/json",
"description": "",
"status_code": 200,
"success": true,
"title": "",
"url": "https://data.cdc.gov/resource/gvsb-yw6g.json"
}
Sub-agent trace (toolu_01HCcLv3PbxYBKsu5378PFnw, 3 events)
tools_started web_fetch t=117995.538
Inner payload
{
"tool_name": "web_fetch",
"tool_input": {
"brief": "Latest COVID positivity by HHS region",
"max_age_seconds": 3600,
"url": "https://data.cdc.gov/resource/gvsb-yw6g.json?%24order=%5BREDACTED%5D&%24limit=%5BREDACTED%5D"
},
"dispatch_id": "toolu_01HCcLv3PbxYBKsu5378PFnw",
"parent_dispatch_id": "",
"handle": "",
"panel_kind": "web_fetch"
}tools_progress web_fetch t=117995.539
Inner payload
{
"tool_name": "web_fetch",
"dispatch_id": "toolu_01HCcLv3PbxYBKsu5378PFnw",
"status": "running",
"result": null,
"error": "",
"elapsed": null,
"fields": {
"progress": {
"message": "Latest COVID positivity by HHS region",
"metadata": {
"browser_chain": false,
"url": "https://data.cdc.gov/resource/gvsb-yw6g.json?%24order=%5BREDACTED%5D&%24limit=%5BREDACTED%5D"
}
},
"status": "running",
"updatedAt": 1789169393676
}
}tools_completed web_fetch t=117995.540
Inner payload
{
"tool_name": "web_fetch",
"dispatch_id": "toolu_01HCcLv3PbxYBKsu5378PFnw",
"status": "completed",
"result": {
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6\",\"perc_diff\":\"4.7\",\"percent_pos\":\"14.48\",\"percent_pos_2_week\":\"10.1\",\"percent_pos_4_week\":\"9.4\",\"number_tested\":\"3910\",\"number_tested_2_week\":\"13729\",\"number_tested_4_week\":\"22634\",\"posted\":\"2026-09-09T20:41:13.338\",\"mmwrweek_end\":\"2026-09-05T00:00:00.000\"}\n,{\"level\":\"Region 5\",\"perc_diff\":\"0.2\",\"percent_pos\":\"2.87\",\"percent_pos_2_week\":\"2.3\",\"percent_pos_4_week\":\"2\",\"number_tested\":\"8371\",\"number_tested_2_week\":\"16655\",\"number_tested_4_week\":\"31231\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-09-05T00:00:00.000\"}\n,{\"level\":\"Region 4\",\"perc_diff\":\"-1.5\",\"percent_pos\":\"4.59\",\"percent_pos_2_week\":\"7\",\"percent_pos_4_week\":\"6.2\",\"number_tested\":\"2681\",\"number_tested_2_week\":\"5796\",\"number_tested_4_week\":\"13075\",\"posted\":\"2026-09-09T20:41:13.330\",\"mmwrweek_end\":\"2026-09-05T00:00:00.000\"}\n,{\"level\":\"Region 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"content_length": 12090,
"content_type": "application/json",
"description": "",
"status_code": 200,
"success": true,
"title": "",
"url": "https://data.cdc.gov/resource/gvsb-yw6g.json"
},
"error": "",
"elapsed": 0.26228918
}
web_fetch completeddispatch toolu_012YbMR1nK8gshKVqrw6iGbr
Input
{
"brief": "Latest RSV positivity by HHS region",
"max_age_seconds": 3600,
"url": "https://data.cdc.gov/resource/3cxc-4k8q.json?%24order=%5BREDACTED%5D&%24limit=%5BREDACTED%5D"
}
Tool Progress E0036
(no result)
Tool Result E0037
{
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Sub-agent trace (toolu_012YbMR1nK8gshKVqrw6iGbr, 3 events)
tools_started web_fetch t=117995.544
Inner payload
{
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"tool_input": {
"brief": "Latest RSV positivity by HHS region",
"max_age_seconds": 3600,
"url": "https://data.cdc.gov/resource/3cxc-4k8q.json?%24order=%5BREDACTED%5D&%24limit=%5BREDACTED%5D"
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}tools_progress web_fetch t=117995.545
Inner payload
{
"tool_name": "web_fetch",
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"status": "running",
"result": null,
"error": "",
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}
},
"status": "running",
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}tools_completed web_fetch t=117995.546
Inner payload
{
"tool_name": "web_fetch",
"dispatch_id": "toolu_012YbMR1nK8gshKVqrw6iGbr",
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web_fetch completeddispatch toolu_01TtYN7vsMo624d9vGLVgRyP
Input
{
"brief": "Find flu percent positivity dataset id",
"url": "https://api.us.socrata.com/api/catalog/v1?domains=%5BREDACTED%5D&q=%5BREDACTED%5D&limit=%5BREDACTED%5D&only=%5BREDACTED%5D"
}
Tool Progress E0042
(no result)
Tool Result E0043
{
"content": "{\n \"results\" :\n [\n {\n \"resource\" :\n {\n \"name\" : \"Percent of Tests Positive for Viral Respiratory Pathogens\",\n \"id\" : \"seuz-s2cv\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Percent of tests positive for a pathogen is one of the surveillance metrics used to monitor respiratory pathogen transmission over time. The percent of tests positive is calculated by dividing the number of positive tests by the total number of tests administered, then multiplying by 100 [(# of positive tests/total tests) x 100]. These data include percent of tests positive values for the detection of severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19 and Respiratory syncytial virus (RSV) reported to the National Respiratory and Enteric Virus Surveillance System (NREVSS), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories; additional information available at: https://www.cdc.gov/surveillance/nrevss/index.html. Influenza results include clinical laboratory test results from NREVSS and influenza collaborating laboratories; more details about influenza virologic surveillance are available here: https://www.cdc.gov/flu/weekly/overview.html. \\n\\nData represent calculations based on laboratory tests performed, not individual people tested. RSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain reaction tests (PCR). Participating laboratories report weekly to CDC the total number of SARS-CoV-2 and RSV tests performed that week and the number of those tests that were positive. \\n\\nAll data are provisional and subject to change.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"Nrevss@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:19.000Z\",\n \"createdAt\" : \"2023-11-08T23:35:24.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:18.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:19.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 408,\n \"page_views_last_month\" : 2640,\n \"page_views_total\" : 17546,\n \"page_views_last_week_log\" : 8.67595703294175,\n \"page_views_last_month_log\" : 11.366868586167094,\n \"page_views_total_log\" : 14.098936774461816\n },\n \"columns_name\" :\n [ \"pathogen\", \"percent_test_positivity\", \"week_end\" ],\n \"columns_field_name\" :\n [ \"pathogen\", \"percent_test_positivity\", \"week_end\" ],\n \"columns_datatype\" : [ \"Text\", \"Number\", \"Calendar date\" ],\n \"columns_description\" :\n [\n \"[Influenza, COVID-19, RSV] \",\n \"Percent of tests positive for pathogen \",\n \"Date of Saturday of the MMWR week. \"\n ],\n \"columns_format\" :\n [\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"view\" : \"iso_8601_date_utc\" }\n ],\n \"download_count\" : 5598,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-08T23:40:55.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"covid19\",\n \"flu\",\n \"influenza\",\n \"ncird\",\n \"ncird-corvd\",\n \"ncird-id\",\n \"rsv\",\n \"coronavirus\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"Nrevss@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Geographic-Coverage\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W \" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"NREVSS\" },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"Nrevss@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W \"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Contact-Name\", \"value\" : \"NREVSS\" }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/seuz-s2cv\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Percent-of-Tests-Positive-for-Viral-Respiratory-Pa/seuz-s2cv\",\n \"owner\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Weekly Respiratory Pathogens and Vaccination (RPV) Metrics for Nursing Home Residents by Jurisdiction, National Healthcare Safety Network (NHSN)\",\n \"id\" : \"tscn-ryh9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"This dataset represents weekly respiratory pathogens and vaccination data for nursing home residents, as they were reported to CDC’s National Health Safety Network (NHSN). The data are aggregated to national and state/territory levels. As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, influenza, and respiratory syncytial [RSV]) on a single data collection form. The Centers for Medicare and Medicaid Services (CMS) required the submission of COVID-19 data beginning September 30, 2024, concurrently nursing homes were permitted to voluntarily submit influenza and RSV data. Beginning January 1, 2025, CMS requires nursing homes to report weekly data for all three respiratory pathogens among residents. Data included in this dataset represent aggregated counts capturing information specific to cases, hospitalizations, and vaccination for COVID-19, influenza, and RSV among residents during a given week of data collection. \\n\\nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=\\\"https://www.federalregister.gov/documents/2024/11/07/2024-25441/medicare-program-calendar-year-cy-2025-home-health-prospective-payment-system-hh-pps-rate-update-hh\\\">Federal Register :: Medicare Program; Calendar Year (CY) 2025 Home Health Prospective Payment System (HH PPS) Rate Update; HH Quality Reporting Program Requirements; HH Value-Based Purchasing Expanded Model Requirements; Home Intravenous Immune Globulin (IVIG) Items and Services Rate Update; and Other Medicare Policies</a>.\\n\\nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html \\n\\n<b>Source: CDC National Healthcare Safety Network (NHSN). </b>\\n<ul><li><b>Data source description:</b> As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, Influenza, and RSV) on a single data collection form. An NHSN surveillance week is defined as beginning on a Monday and ending on a Sunday. Only CMS-certified nursing homes indicated as active reporters in NHSN are included in the dataset. Due to differing CMS reporting requirements for COVID-19, Influenza, and RSV, the data presented in this dataset are as follows: </li><ul><li><b>For surveillance weeks October 6, 2024 to December 29, 2024,</b> the reported COVID-19 data reflects submissions made during a mandated reporting period and is available in the dataset. Only facilities that have submitted complete COVID-19 data for these surveillance weeks are included in the dataset. In the absence of a reporting mandate for Influenza and RSV data during this period, these data were submitted voluntarily and are not included in the dataset. As a result, the value associated with the number of reporting facilities corresponds to those that submitted complete COVID-19 data for the given week of data collection.\\n</li><li>As of January 1, 2025, an updated CMS reporting requirement mandated the weekly submission of COVID-19, Influenza, and RSV data to NHSN. This requirement took effect on a Wednesday, which is halfway through the NHSN-defined surveillance week (Monday – Sunday). To ensure reporting consistency, Influenza and RSV reporting remained voluntary in NHSN <b>for surveillance week January 5, 2025.</b> As a result, Influenza and RSV data are not included in the dataset for this week of data collection. Only facilities that submitted complete COVID-19 data for this surveillance week are included in the dataset, with the reported facility count reflecting those submissions. \\n</li><li><b>For surveillance weeks January 12, 2025 to the present,</b>\",\n \"attribution\" : \"CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)\",\n \"attribution_link\" : \"https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html\",\n \"contact_email\" : \"nhsn@cdc.gov (subject line: Respiratory Pathogens and Vaccination Data)\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-10T15:36:42.000Z\",\n \"createdAt\" : \"2025-04-21T13:41:20.000Z\",\n \"metadata_updated_at\" : \"2026-09-10T15:36:42.000Z\",\n \"data_updated_at\" : \"2026-08-24T13:20:27.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 40,\n \"page_views_last_month\" : 324,\n \"page_views_total\" : 1770,\n \"page_views_last_week_log\" : 5.357552004618084,\n 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\"Week of data collection, end date (Sunday)\",\n \"Number of residents who are up to date with COVID-19 vaccines during the week of data collection \",\n \"Number of residents with a positive test for COVID-19 during the week of data collection \",\n \"Number of residents with a positive test for COVID-19 during the week of data collection, and received an up to date COVID-19 vaccine 14 days or more before the positive test \",\n \"Number of residents with a positive test for RSV during the week of data collection\",\n \"Number of residents who have received an RSV vaccine during the week of data collection\",\n \"Percentage of residents who have received the season's annual influenza vaccine during the week of data collection\",\n \"Number of residents hospitalized during week of data collection, and had a positive test for Influenza in the last 10 days\",\n \"Number of residents with a positive test for Influenza during the week of data collection, and received the season’s annual influenza vaccine 14 days or more before the positive test\",\n \"Number of residents with a positive test for Influenza during the week of data collection\",\n \"Number of residents who have received the season's annual influenza vaccine during the week of data collection\",\n \"Number of nursing homes reporting resident data during the week of data collection\",\n \"Number of residents hospitalized during week of data collection, and had a positive test for COVID-19 in the last 10 days\",\n \"Percentage of residents who are up to date with COVID-19 vaccines during the week of data collection\",\n \"Number of residents hospitalized during the week of data collection, and received an up to date COVID-19 vaccine 14 days or more before the positive COVID-19 test\",\n \"Total number of residents residing in a nursing home for at least 1 day during the week of data collection (Monday - Sunday)\",\n \"Percentage of residents who have received an RSV vaccine during the week of data 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\"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2024-10-06 – Present \"\n },\n { \"key\" : \"Common-Core_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core_References\",\n \"value\" : \"NHSN Long-Term Care Respiratory Pathogens and Vaccination (RPV) Reporting: https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html NHSN Nursing Home Data Dashboard: https://www.cdc.gov/nhsn/ltc/ltc-report-overview.html Centers for Medicare and Medicaid Services (CMS) requirements: https://www.federalregister.gov/documents/2024/11/07/2024-25441/medicare-program-calendar-year-cy-2025-home-health-prospective-payment-system-hh-pps-rate-update-hh\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"Weekly\" },\n { \"key\" : \"Common-Core_Homepage\", \"value\" : \"N/A\" },\n {\n \"key\" : \"Common-Core_Access-Level-Comment\",\n \"value\" : \"N/A\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Issued\", \"value\" : \"N/A\" },\n { \"key\" : \"Common-Core_Data-Standard\", \"value\" : \"N/A\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"DHQP\" },\n {\n \"key\" : \"Common-Core_Primary-IT-Investment-UII\",\n \"value\" : \"N/A \"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Division of Healthcare Quality Promotion, National Healthcare Safety Network, Weekly United States Respiratory Pathogens and Vaccination (RPV) Metrics for Nursing Home Residents by Jurisdiction, National Healthcare Safety Network (NHSN) \"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"State/territory, national \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"State/territory, national \"\n },\n {\n \"key\" : \"Data-Quality_Analytical-Methods-Reference\",\n \"value\" : \"N/A\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nhsn@cdc.gov (subject line: Respiratory Pathogens and Vaccination Data)\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:020\" },\n { \"key\" : \"Common-Core-3_Described-By\", \"value\" : \"N/A\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2024-10-06 – Present \"\n },\n { \"key\" : \"Common-Core-3_Language\", \"value\" : \"English\" },\n { \"key\" : \"Common-Core-3_Publisher\", \"value\" : \"CDC\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"Weekly\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Contact-Name\", \"value\" : \"DHQP\" }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/tscn-ryh9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Weekly-Respiratory-Pathogens-and-Vaccination-RPV-M/tscn-ryh9\",\n \"owner\" :\n {\n \"id\" : \"t8bk-eydi\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Emily Wong\"\n },\n \"creator\" :\n {\n \"id\" : \"t8bk-eydi\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Emily Wong\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard\",\n \"id\" : \"rgnm-fkqb\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"More than 450 public health and clinical laboratories located throughout the United States participate in laboratory-based surveillance through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS) for respiratory adenovirus, common human coronaviruses (HCOV), human metapneumovirus (HMPV), influenza, parainfluenza viruses (PIV), rhinoviruses/enteroviruses (RV/EV), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. The dataset contains aggregate counts of the total tests performed for these viruses and positive detections reported to NREVSS since July 2019. Data from all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands are included. These data are reported weekly on a voluntary basis. Laboratories do not report demographic data through NREVSS. Testing practices vary, and the number of participating laboratories changes from year to year. All data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. Data can be updated for up to 2 years after the initial reporting week. Discrepancies may be noted and updated at the discretion of the NREVSS data stewards and key stakeholders.\\n\\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system. NREVSS does not collect patient-specific demographic information, clinical data, or outcomes (e.g., hospitalization or death). Multiple specimens may be collected from a single patient, so NREVSS results reflect the number of tests performed rather than the number of patients tested.\\n\\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive specimens from sites across a given state or even from multiple states. NREVSS cannot be used to determine the prevalence or incidence of infection. NREVSS counts reflect the latest data reported from participating laboratories and may not match data presented by various jurisdictions.\\nThe national and regional NREVSS data described here are available, beginning from July 6, 2019. Data are also visualized on the NREVSS dashboard at the following URL: https://www.cdc.gov/nrevss/php/dashboard/index.html\\n\\nFor more information on NREVSS and COVID-19 surveillance please visit https://www.cdc.gov/nrevss/php/dashboard/index.html and https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data. \\nThe regional RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data\\nrepresent averaged values that CDC calculates from testing reports. These average estimates differ from the raw regional RSV laboratory data displayed on the CDC dashboard. The national RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data are the same values included in the dashboard.\\n\\nData for all NREVSS pathogens are reported at the national and HHS regional levels. The prior two years of state level data are shared for RSV and SARS-CoV-2. Data for all influenza clinical laboratories and public health laboratories (the U.S. Influenza collaborating laboratories [ICL]) are shared through the influenza virologic surveillance and are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=%5BREDACTED%5D. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html.\\n\\nAdenovirus, HCOV, HMPV, PIV, RSV, RV/EV and SARS-COV-2 data include only nucleic acid amplification test (NAAT) results, which include reverse transcription-polymerase chain reaction (RT-PCR) test results\",\n \"attribution\" : \"CDC\",\n \"attribution_link\" : \"https://www.cdc.gov/nrevss/php/dashboard/index.html\",\n \"contact_email\" : \"nrevss@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T19:57:48.000Z\",\n \"createdAt\" : \"2025-11-28T21:06:18.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T19:57:38.000Z\",\n \"data_updated_at\" : \"2026-09-11T19:57:48.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 352,\n \"page_views_last_month\" : 2007,\n \"page_views_total\" : 9202,\n \"page_views_last_week_log\" : 8.46352437327118,\n \"page_views_last_month_log\" : 10.971543553950772,\n \"page_views_total_log\" : 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\"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"Data from 2019-07-06 to present \"\n },\n { \"key\" : \"Common-Core_Language\", \"value\" : \"English\" },\n { \"key\" : \"Common-Core_Geographic-Coverage\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"Weekly\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"Surveillance and Analytics Team\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"Public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nrevss@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"Data from 2019-07-06 to present \"\n },\n { \"key\" : \"Common-Core-3_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"Weekly\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Status\", \"value\" : \"Completed\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Surveillance and Analytics Team\"\n },\n {\n \"key\" : \"Data-Quality_Footnotes\",\n \"value\" : \"Adenovirus: Adenovirus detections reported to NREVSS from respiratory specimen testing (for example, nasopharyngeal swabs). There are over 100 adenovirus types. Most commercial laboratory tests do not distinguish type without further identification. HMPV: Human metapneumovirus types A and B are not reported separately by laboratories participating in NREVSS. HCOV: Human coronavirus types HKU1, OC43, 229E, and NL63 are individually reported and summarized in aggregate under “Combined Type”. At the HHS regional level only percentage positivity is reported. PIV: Parainfluenza virus types 1 through 4 are individually reported and summarized in aggregate under “Combined Type”. At the HHS regional level only percentage positivity is reported. RV/EV: Most diagnostic assays are not able to distinguish rhinoviruses from enteroviruses and have a combined single target for both viruses. Therefore, RV/EV results are reported in a combined category via NREVSS. RSV: Respiratory syncytial virus types A and B are reported but not shown separately in this dataset. State-level data are only included when two or more labs report RSV RT-PCR testing data for at least 36 of the prior 52 weeks with an average of 10 tests per week. If data for a state are unavailable, we recommend reviewing the trends of the HHS Region level that contains the state of interest. SARS-COV-2: Severe acute respiratory syndrome coronavirus 2. State level data are only included when two or more labs report SARS-COV-2 testing data for at least 30 of the previous 52 weeks with an average of 10 tests per week. If data for a state are unavailable, we recommend reviewing the trends of the HHS Region level that contains the state of interest. Influenza viruses: Data displayed on the dashboard are provided by clinical and public health laboratories and shared through the influenza virologic surveillance system. Flu data are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=%5BREDACTED%5D. To protect confidentiality, detections between 1–4 (and their corresponding test counts) are suppressed and shown as “*”. The data that are unavailable are shown as “.”. \"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention. 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There was at least one site in each of the 10 Health and Human Services (HHS) regions. RESP-LENS collected reports of emergency department (ED) visits for acute respiratory illness (ARI) and corresponding viral testing results for SARS-CoV-2 (the virus that causes COVID-19), influenza (flu), and respiratory syncytial virus (RSV). Sites reported data for an average of approximately 77,000 ED visits weekly, of which 11,000 were associated with ARI and 4,000 of those were in children younger than 18 years. Between May 2023 and August 2024, these data were posted to CDC's RESP-LENS public dashboard, showing number tested, number positive, and percent positive for each of the three viruses mentioned, by virus, region, and age group. Due to budget constraints, RESP-LENS was not funded beyond the end of the 2024 fiscal year. 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data from last 5 weeks of 2023-24 season not available)\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"24 sites/health systems with a total of >100 participating hospitals located in 20 states and the District of Columbia\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"Never\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"RESP-LENS\" },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"acp4@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"24 sites/health systems with a total of >100 participating hospitals located in 20 states and the District of Columbia\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-23 and 2023-24 respiratory illness seasons (2 October 2022 through 31 August 2024; 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This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\\n\\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \\n<br>\\nFor additional information, please see:<a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\\nUpdated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:17:11.000Z\",\n \"createdAt\" : \"2023-11-16T23:24:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:17:11.000Z\",\n \"data_updated_at\" : \"2024-10-18T16:08:04.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 26,\n \"page_views_last_month\" : 146,\n \"page_views_total\" : 3904,\n \"page_views_last_week_log\" : 4.754887502163469,\n \"page_views_last_month_log\" : 7.199672344836364,\n \"page_views_total_log\" : 11.931106833029343\n },\n \"columns_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_field_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_datatype\" :\n [\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\"\n ],\n \"columns_description\" :\n [\n \"[Reporting, Not Reporting]\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\",\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"COVID -19, Influenza, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\",\n \"MMWR week ending on day\",\n \"State, territory, or region.\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\"\n ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 2577,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-16T23:31:34.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"ncird\",\n \"rsv\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"respiratory-syncytial-virus\",\n \"ophdst\",\n \"nssp\",\n \"covid19\",\n \"coronavirus\",\n \"ed\",\n \"emergency-department\",\n \"flu\",\n \"influenza\",\n \"national-syndromic-surveillance-program\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, National, Regional and State Level Trajectory\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"National, Regional, State\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/7mra-9cq9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"CDC Wastewater Data for Influenza A\",\n \"id\" : \"ymmh-divb\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"This dataset provides a complete time history of Influenza A wastewater sample data and calculated metrics from US sampling locations.\\n\\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#[REDACTED] more at: www.cdc.gov/wastewater.\\n\\nThis dataset is updated weekly on Fridays.\",\n \"attribution\" : \"DIDRI/R3SB\",\n \"attribution_link\" : \"https://www.cdc.gov/wastewater\",\n \"contact_email\" : \"NWSS@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T15:03:56.000Z\",\n \"createdAt\" : \"2025-07-30T15:08:14.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T15:02:46.000Z\",\n \"data_updated_at\" : \"2026-09-11T15:03:56.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 79,\n \"page_views_last_month\" : 414,\n \"page_views_total\" : 7450,\n \"page_views_last_week_log\" : 6.321928094887362,\n \"page_views_last_month_log\" : 8.696967526234287,\n \"page_views_total_log\" : 12.86321834758244\n },\n \"columns_name\" :\n [\n \"pcr_target_flowpop_lin\",\n \"pcr_target_avg_conc_lin\",\n \"hum_frac_target_mic\",\n \"hum_frac_mic_conc\",\n \"date_updated\",\n \"rec_eff_spike_conc\",\n \"rec_eff_spike_matrix\",\n \"rec_eff_target_name\",\n \"rec_eff_percent\",\n \"hum_frac_mic_unit\",\n \"lod_sewage\",\n \"pcr_target_units\",\n \"pcr_target_avg_conc\",\n \"pcr_gene_target_agg\",\n \"pcr_target\",\n \"ntc_amplify\",\n \"inhibition_adjust\",\n \"inhibition_detect\",\n \"sample_id\",\n \"population_served\",\n \"counties_served\",\n \"county_fips\",\n \"record_id\",\n \"major_lab_method\",\n \"extraction_method\",\n \"pcr_type\",\n \"pasteurized\",\n \"concentration_method\",\n \"flow_rate\",\n \"sample_location\",\n \"sample_matrix\",\n \"sample_type\",\n \"sample_collect_date\",\n \"source\",\n \"pcr_target_detect\",\n \"state_territory\",\n \"site\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_field_name\" :\n [\n \"pcr_target_flowpop_lin\",\n \"pcr_target_avg_conc_lin\",\n \"hum_frac_target_mic\",\n \"hum_frac_mic_conc\",\n \"date_updated\",\n \"rec_eff_spike_conc\",\n \"rec_eff_spike_matrix\",\n \"rec_eff_target_name\",\n \"rec_eff_percent\",\n \"hum_frac_mic_unit\",\n \"lod_sewage\",\n \"pcr_target_units\",\n \"pcr_target_avg_conc\",\n \"pcr_gene_target_agg\",\n \"pcr_target\",\n \"ntc_amplify\",\n \"inhibition_adjust\",\n \"inhibition_detect\",\n \"sample_id\",\n \"population_served\",\n \"counties_served\",\n \"county_fips\",\n \"record_id\",\n \"major_lab_method\",\n \"extraction_method\",\n \"pcr_type\",\n \"pasteurized\",\n \"concentration_method\",\n \"flow_rate\",\n \"sample_location\",\n \"sample_matrix\",\n \"sample_type\",\n \"sample_collect_date\",\n \"source\",\n \"pcr_target_detect\",\n \"state_territory\",\n \"site\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Calendar date\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\"\n ],\n \"columns_description\" :\n [\n \"Flow-population-normalized PCR target concentration on linear scale; calculated as concentration*flow/population. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Concentration of the PCR target on a per sample amount basis; this is merely 'pcr_target_avg_conc', where all values are on a linear (not log10) concentration basis. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Name of microbial target used to estimate human fecal content\",\n \"Concentration of microbial target specified in 'hum_frac_target_mic'\",\n \"Timestamp of processing run used in posted data. \\\"As of \\\" stamp.\",\n \"Spike concentration, on average, of the recovery control on a per sample volume basis. This value is used to assess the recovery efficiency: \\\"rec_eff_percent\\\".\",\n \"Matrix into which the recovery efficiency control target is spiked to assess recovery efficiency: \\\"rec_eff_percent.\\\" \",\n \"Name of the recovery efficiency control target that is spiked in to the sample process to assess recovery efficiency. The measured concentration of this variable is used to calculate \\\"rec_eff_percent.\\\"\",\n \"Recovery efficiency percent calculates the recovery (or loss) of an exogenous organism (\\\"rec_eff_target_name\\\") from a wastewater sample after it has been fully processed (e.g., concentration and extraction) and measured by molecular detection methods such as PCR. Recovery efficiency percent is calculated by comparing the total measured gene copies in the fully processed sample (e.g., nucleic acid extract) to the measured or theoretical gene copy value of the initial spike-in concentration that was added to the wastewater sample prior to processing (\\\"rec_eff_spike_conc\\\"). “rec_eff_percent” = [((Measured \\\"rec_eff_target_name\\\" gene copies)/(\\\"rec_eff_spike_conc\\\" gene copies)) x 100].\",\n \"Concentration units of microbial target specified in 'hum_frac_target_mic'\",\n \"PCR target limit of detection (LOD) is the lowest analyte concentration that can be reliably detected by a PCR assay. This value is the LOD concentration that has been back-calculated to the PCR target concentration PRIOR to sample concentration to adjust for any concentrations or dilutions performed on samples.\",\n \"Units of PCR target sample concentration\",\n \"Concentration of the PCR target back-calculated to unconcentrated sample basis; value is \\\"0\\\" if no amplification occurred, using the definition of amplification described in 'ntc_amplify'; otherwise, the estimated concentration was entered; does not adjust for matrix recovery efficiency. Only the technical or biological replicate concentrations for the same pcr_gene_target are averaged. \",\n \"The PCR gene used to quantify PCR target. Multiple gene targets may be tested, in which case they would be aggregated to reflect the various targets.\",\n \"The target of the PCR quantification (pathogen or antimicrobial resistance (AMR) groups)\",\n \"A yes/no flag indicating contamination of PCR reagents. No template controls is a negative control to detect contamination of PCR reagents by running reactions with no nucleic acid template added. A \\\"yes\\\" value (any values above the positive threshold) indicates a positive NTC result which suggests reagent contamination and the experiment is no longer valid. \",\n \"A yes/no flag indicating whether inhibitory effects were factored into the PCR target concentration calculation. A “yes” value means that the measured PCR target concentration was adjusted for suppressed signals due to interfering compounds. Incorporating inhibition adjustments prevents underestimation of target levels.\",\n \"A yes/no flag indicating whether molecular inhibition was detected in the assay. A \\\"yes\\\" value means that amplification and detection are suppressed due to interfering substances in the sample, while a \\\"no\\\" value means inhibition was not detected. Detecting inhibition is essential for assessing assay performance and ensuring reliable quantification of target analytes.\",\n \"An anonymized ID assigned to wastewater samples. Wastewater samples for which multiple pathogen PCR targets are measured should have the same sample ID. \",\n \"Estimated number of persons served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location)\",\n \"The county and county-equivalent names corresponding to the FIPS codes in 'county_fips'.\",\n \"5-digit numeric FIPS codes of all counties and county equivalents served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location). Note that most jurisdictions are covered by counties, but some are covered by county equivalents, such as independent cities, parishes, or census areas.\",\n \"A unique identifier for each row of data.\",\n \"A number used to distinguish major lab methods at the reporting jurisdiction level. Differences in lab methods may limit the comparability of PCR target concentrations. Reporting jurisdictions should use this field to indicate that lab methods are sufficiently different that caution should be used when comparing PCR target concentrations across them. These differences may result from any lab processing or quantification steps, including different PCR gene targets. Note that 'major_lab_method' may be the same for different laboratories if the reporting jurisdiction believes concentrations measured by those laboratories are comparable; conversely, 'major_lab_method' may be different for the same laboratory if changes made to the laboratory protocol rendered concentrations not comparable. Also note that major lab method is only comparable across reporting site and should not be compared across different sites.\",\n \"Laboratory method used to purify the genetic material (RNA or DNA) of the PCR target by extraction from the sample.\",\n \"The type of PCR (e.g., qPCR, dPCR, ddPCR) used to quantify the PCR target\",\n \"A yes/no flag indicating whether the sample pasteurized or heat treated. \",\n \"Laboratory method used to concentrate (or enrich) the sample prior to analysis of the concentrate. This procedures concentrates pathogen titers from a larger volume of wastewater prior to extraction and molecular detection. \",\n \"Wastewater volumetric flow rate at the sample collection location over the 24-hr period during which the sample was collected. If only an instantaneous flow measurement is available, it may be reported in units of million gallons per day. \",\n \"Sample collection location in the wastewater system, whether at a wastewater treatment plant (or other community level treatment infrastructure such as community-scale septic) or upstream in the wastewater system\",\n \"Wastewater matrix from which the sample was collected. Wastewater matrix is a categorical variable specifying the type of wastewater sample used (e.g., raw influent, primary sludge, settled solids).\",\n \"Type of sample collected, whether grab or composite. If composite, the duration of sampling and type of composite is specified (e.g., \\\"24-hr flow-weighted composite\\\"). A grab sample is defined as an individual sample collected without compositing or adding other samples, regardless of whether the sample matrix is liquid wastewater or sludge.\",\n \"Sample collection date\",\n \"The source of the data collected and reported to CDC's Wastewater Surveillance Program, including public health departments (State_Territory), CDC's national wastewater testing contract (CDC_Verily, or formerly, cdc_biobot) and an academic partner group WastewaterSCAN (WastewaterSCAN). For additional information see: www.cdc.gov/wastewater/about/index.html\",\n \"Whether or not 'pcr_target' was detected for each sample record. The value is either 'yes' or 'no' and is calculated after gene target aggregation.\",\n \"State, DC, US territory, or Freely Associated State jurisdiction name (2-letter abbreviation) in which the wastewater treatment plant is located.\",\n \"A unique identifier for wastewater treatment plants. This is an arbitrary integer used to provide a unique, but anonymous identifier for a wastewater treatment plant. This identifier is consistent over time, such that the same plant retains the same ID regardless of the addition or subtraction of other plants from the data set.\",\n \"Microbial-normalized PCR target concentration on linear scale; calculated as (concentration of pathogen) / (concentration of microbial endogenous control). The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\"\n ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" }\n ],\n \"download_count\" : 5025,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2026-03-06T16:32:45.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"wastewater\",\n \"united states\",\n \"ncezid\",\n \"nwss\",\n \"flu\",\n \"influenza\",\n \"influenza a\",\n \"weekly\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"NWSS@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:028\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"US States and Territories\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n {\n \"key\" : \"Common-Core_Homepage\",\n \"value\" : \"www.cdc.gov/wastewater\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Wastewater Surveillance System (NWSS)\"\n },\n {\n \"key\" : \"Data-Quality_Footnotes\",\n \"value\" : \"Wastewater concentrations at different sampling locations might be collected at different frequencies and obtained using different laboratory methods. It is not advised that wastewater concentrations be compared across sampling locations.\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, National Wastewater Surveillance System Analytics Data Set, year(s), as compiled from data provided through National Wastewater Surveillance System in the Rapid Response Research and Surveillance Branch (R3SB).\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"County level\"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"Sampling location\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"NWSS@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"US States and Territories\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:028\" },\n { \"key\" : \"Common-Core-3_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Wastewater Surveillance System (NWSS)\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/ymmh-divb\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-Influenza-A/ymmh-divb\",\n \"owner\" :\n {\n \"id\" : \"mt3r-qr2b\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NWSS\"\n },\n \"creator\" :\n {\n \"id\" : \"mt3r-qr2b\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NWSS\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"CDC Wastewater Data for Avian Influenza A (H5)\",\n \"id\" : \"mtpu-urpp\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"This dataset provides a complete time history of Avian Influenza A (H5) wastewater sample data and calculated metrics from US sampling locations.\\n\\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#[REDACTED] more at: www.cdc.gov/wastewater.\\n\\nThis dataset is updated weekly on Fridays.\",\n \"attribution\" : \"DIDRI/R3SB\",\n \"attribution_link\" : \"https://www.cdc.gov/wastewater\",\n \"contact_email\" : \"NWSS@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T15:04:22.000Z\",\n \"createdAt\" : \"2025-07-30T17:10:06.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T15:03:53.000Z\",\n \"data_updated_at\" : \"2026-09-11T15:04:22.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 68,\n \"page_views_last_month\" : 352,\n \"page_views_total\" : 3909,\n \"page_views_last_week_log\" : 6.10852445677817,\n \"page_views_last_month_log\" : 8.46352437327118,\n \"page_views_total_log\" : 11.932952892194715\n },\n \"columns_name\" :\n [\n \"lod_sewage\",\n \"pcr_target_avg_conc\",\n \"sample_type\",\n \"population_served\",\n \"pcr_target\",\n \"inhibition_adjust\",\n \"sample_location\",\n \"rec_eff_target_name\",\n \"state_territory\",\n \"site\",\n \"major_lab_method\",\n \"sample_collect_date\",\n \"pcr_target_units\",\n \"date_updated\",\n \"inhibition_detect\",\n \"rec_eff_spike_matrix\",\n \"counties_served\",\n \"hum_frac_mic_unit\",\n \"pcr_gene_target_agg\",\n \"pcr_type\",\n \"rec_eff_spike_conc\",\n \"rec_eff_percent\",\n \"hum_frac_mic_conc\",\n \"pcr_target_flowpop_lin\",\n \"extraction_method\",\n \"flow_rate\",\n \"sample_id\",\n \"hum_frac_target_mic\",\n \"county_fips\",\n \"source\",\n \"record_id\",\n \"pcr_target_avg_conc_lin\",\n \"pcr_target_detect\",\n \"ntc_amplify\",\n \"pasteurized\",\n \"concentration_method\",\n \"sample_matrix\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_field_name\" :\n [\n \"lod_sewage\",\n \"pcr_target_avg_conc\",\n \"sample_type\",\n \"population_served\",\n \"pcr_target\",\n \"inhibition_adjust\",\n \"sample_location\",\n \"rec_eff_target_name\",\n \"state_territory\",\n \"site\",\n \"major_lab_method\",\n \"sample_collect_date\",\n \"pcr_target_units\",\n \"date_updated\",\n \"inhibition_detect\",\n \"rec_eff_spike_matrix\",\n \"counties_served\",\n \"hum_frac_mic_unit\",\n \"pcr_gene_target_agg\",\n \"pcr_type\",\n \"rec_eff_spike_conc\",\n \"rec_eff_percent\",\n \"hum_frac_mic_conc\",\n \"pcr_target_flowpop_lin\",\n \"extraction_method\",\n \"flow_rate\",\n \"sample_id\",\n \"hum_frac_target_mic\",\n \"county_fips\",\n \"source\",\n \"record_id\",\n \"pcr_target_avg_conc_lin\",\n \"pcr_target_detect\",\n \"ntc_amplify\",\n \"pasteurized\",\n \"concentration_method\",\n \"sample_matrix\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\"\n ],\n \"columns_description\" :\n [\n \"PCR target limit of detection (LOD) is the lowest analyte concentration that can be reliably detected by a PCR assay. This value is the LOD concentration that has been back-calculated to the PCR target concentration PRIOR to sample concentration to adjust for any concentrations or dilutions performed on samples.\",\n \"Concentration of the PCR target back-calculated to unconcentrated sample basis; value is \\\"0\\\" if no amplification occurred, using the definition of amplification described in 'ntc_amplify'; otherwise, the estimated concentration was entered; does not adjust for matrix recovery efficiency. Only the technical or biological replicate concentrations for the same pcr_gene_target are averaged. \",\n \"Type of sample collected, whether grab or composite. If composite, the duration of sampling and type of composite is specified (e.g., \\\"24-hr flow-weighted composite\\\"). 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Incorporating inhibition adjustments prevents underestimation of target levels.\",\n \"Sample collection location in the wastewater system, whether at a wastewater treatment plant (or other community level treatment infrastructure such as community-scale septic) or upstream in the wastewater system\",\n \"Name of the recovery efficiency control target that is spiked in to the sample process to assess recovery efficiency. The measured concentration of this variable is used to calculate \\\"rec_eff_percent.\\\"\",\n \"State, DC, US territory, or Freely Associated State jurisdiction name (2-letter abbreviation) in which the wastewater treatment plant is located.\",\n \"A unique identifier for wastewater treatment plants. This is an arbitrary integer used to provide a unique, but anonymous identifier for a wastewater treatment plant. This identifier is consistent over time, such that the same plant retains the same ID regardless of the addition or subtraction of other plants from the data set.\",\n \"A number used to distinguish major lab methods at the reporting jurisdiction level. Differences in lab methods may limit the comparability of PCR target concentrations. Reporting jurisdictions should use this field to indicate that lab methods are sufficiently different that caution should be used when comparing PCR target concentrations across them. These differences may result from any lab processing or quantification steps, including different PCR gene targets. Note that 'major_lab_method' may be the same for different laboratories if the reporting jurisdiction believes concentrations measured by those laboratories are comparable; conversely, 'major_lab_method' may be different for the same laboratory if changes made to the laboratory protocol rendered concentrations not comparable. Also note that major lab method is only comparable across reporting site and should not be compared across different sites.\",\n \"Sample collection date\",\n \"Units of PCR target sample concentration\",\n \"Timestamp of processing run used in posted data. \\\"As of \\\" stamp.\",\n \"A yes/no flag indicating whether molecular inhibition was detected in the assay. A \\\"yes\\\" value means that amplification and detection are suppressed due to interfering substances in the sample, while a \\\"no\\\" value means inhibition was not detected. 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Sub-agent trace (toolu_01TtYN7vsMo624d9vGLVgRyP, 3 events)
tools_started web_fetch t=117995.550
Inner payload
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Inner payload
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"status": "running",
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}tools_completed web_fetch t=117995.552
Inner payload
{
"tool_name": "web_fetch",
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"content": "{\n \"results\" :\n [\n {\n \"resource\" :\n {\n \"name\" : \"Percent of Tests Positive for Viral Respiratory Pathogens\",\n \"id\" : \"seuz-s2cv\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Percent of tests positive for a pathogen is one of the surveillance metrics used to monitor respiratory pathogen transmission over time. The percent of tests positive is calculated by dividing the number of positive tests by the total number of tests administered, then multiplying by 100 [(# of positive tests/total tests) x 100]. These data include percent of tests positive values for the detection of severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19 and Respiratory syncytial virus (RSV) reported to the National Respiratory and Enteric Virus Surveillance System (NREVSS), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories; additional information available at: https://www.cdc.gov/surveillance/nrevss/index.html. Influenza results include clinical laboratory test results from NREVSS and influenza collaborating laboratories; more details about influenza virologic surveillance are available here: https://www.cdc.gov/flu/weekly/overview.html. \\n\\nData represent calculations based on laboratory tests performed, not individual people tested. RSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain reaction tests (PCR). Participating laboratories report weekly to CDC the total number of SARS-CoV-2 and RSV tests performed that week and the number of those tests that were positive. \\n\\nAll data are provisional and subject to change.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"Nrevss@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:19.000Z\",\n \"createdAt\" : \"2023-11-08T23:35:24.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:18.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:19.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 408,\n \"page_views_last_month\" : 2640,\n \"page_views_total\" : 17546,\n \"page_views_last_week_log\" : 8.67595703294175,\n \"page_views_last_month_log\" : 11.366868586167094,\n \"page_views_total_log\" : 14.098936774461816\n },\n \"columns_name\" :\n [ \"pathogen\", \"percent_test_positivity\", \"week_end\" ],\n \"columns_field_name\" :\n [ \"pathogen\", \"percent_test_positivity\", \"week_end\" ],\n \"columns_datatype\" : [ \"Text\", \"Number\", \"Calendar date\" ],\n \"columns_description\" :\n [\n \"[Influenza, COVID-19, RSV] \",\n \"Percent of tests positive for pathogen \",\n \"Date of Saturday of the MMWR week. \"\n ],\n \"columns_format\" :\n [\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"view\" : \"iso_8601_date_utc\" }\n ],\n \"download_count\" : 5598,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-08T23:40:55.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"covid19\",\n \"flu\",\n \"influenza\",\n \"ncird\",\n \"ncird-corvd\",\n \"ncird-id\",\n \"rsv\",\n \"coronavirus\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"Nrevss@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Geographic-Coverage\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W \" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"NREVSS\" },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"Nrevss@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W \"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Contact-Name\", \"value\" : \"NREVSS\" }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/seuz-s2cv\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Percent-of-Tests-Positive-for-Viral-Respiratory-Pa/seuz-s2cv\",\n \"owner\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Weekly Respiratory Pathogens and Vaccination (RPV) Metrics for Nursing Home Residents by Jurisdiction, National Healthcare Safety Network (NHSN)\",\n \"id\" : \"tscn-ryh9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"This dataset represents weekly respiratory pathogens and vaccination data for nursing home residents, as they were reported to CDC’s National Health Safety Network (NHSN). The data are aggregated to national and state/territory levels. As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, influenza, and respiratory syncytial [RSV]) on a single data collection form. The Centers for Medicare and Medicaid Services (CMS) required the submission of COVID-19 data beginning September 30, 2024, concurrently nursing homes were permitted to voluntarily submit influenza and RSV data. Beginning January 1, 2025, CMS requires nursing homes to report weekly data for all three respiratory pathogens among residents. Data included in this dataset represent aggregated counts capturing information specific to cases, hospitalizations, and vaccination for COVID-19, influenza, and RSV among residents during a given week of data collection. \\n\\nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=\\\"https://www.federalregister.gov/documents/2024/11/07/2024-25441/medicare-program-calendar-year-cy-2025-home-health-prospective-payment-system-hh-pps-rate-update-hh\\\">Federal Register :: Medicare Program; Calendar Year (CY) 2025 Home Health Prospective Payment System (HH PPS) Rate Update; HH Quality Reporting Program Requirements; HH Value-Based Purchasing Expanded Model Requirements; Home Intravenous Immune Globulin (IVIG) Items and Services Rate Update; and Other Medicare Policies</a>.\\n\\nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html \\n\\n<b>Source: CDC National Healthcare Safety Network (NHSN). </b>\\n<ul><li><b>Data source description:</b> As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, Influenza, and RSV) on a single data collection form. An NHSN surveillance week is defined as beginning on a Monday and ending on a Sunday. Only CMS-certified nursing homes indicated as active reporters in NHSN are included in the dataset. Due to differing CMS reporting requirements for COVID-19, Influenza, and RSV, the data presented in this dataset are as follows: </li><ul><li><b>For surveillance weeks October 6, 2024 to December 29, 2024,</b> the reported COVID-19 data reflects submissions made during a mandated reporting period and is available in the dataset. Only facilities that have submitted complete COVID-19 data for these surveillance weeks are included in the dataset. In the absence of a reporting mandate for Influenza and RSV data during this period, these data were submitted voluntarily and are not included in the dataset. As a result, the value associated with the number of reporting facilities corresponds to those that submitted complete COVID-19 data for the given week of data collection.\\n</li><li>As of January 1, 2025, an updated CMS reporting requirement mandated the weekly submission of COVID-19, Influenza, and RSV data to NHSN. This requirement took effect on a Wednesday, which is halfway through the NHSN-defined surveillance week (Monday – Sunday). To ensure reporting consistency, Influenza and RSV reporting remained voluntary in NHSN <b>for surveillance week January 5, 2025.</b> As a result, Influenza and RSV data are not included in the dataset for this week of data collection. Only facilities that submitted complete COVID-19 data for this surveillance week are included in the dataset, with the reported facility count reflecting those submissions. \\n</li><li><b>For surveillance weeks January 12, 2025 to the present,</b>\",\n \"attribution\" : \"CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)\",\n \"attribution_link\" : \"https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html\",\n \"contact_email\" : \"nhsn@cdc.gov (subject line: Respiratory Pathogens and Vaccination Data)\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-10T15:36:42.000Z\",\n \"createdAt\" : \"2025-04-21T13:41:20.000Z\",\n \"metadata_updated_at\" : \"2026-09-10T15:36:42.000Z\",\n \"data_updated_at\" : \"2026-08-24T13:20:27.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 40,\n \"page_views_last_month\" : 324,\n \"page_views_total\" : 1770,\n \"page_views_last_week_log\" : 5.357552004618084,\n 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\"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2024-10-06 – Present \"\n },\n { \"key\" : \"Common-Core_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core_References\",\n \"value\" : \"NHSN Long-Term Care Respiratory Pathogens and Vaccination (RPV) Reporting: https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html NHSN Nursing Home Data Dashboard: https://www.cdc.gov/nhsn/ltc/ltc-report-overview.html Centers for Medicare and Medicaid Services (CMS) requirements: https://www.federalregister.gov/documents/2024/11/07/2024-25441/medicare-program-calendar-year-cy-2025-home-health-prospective-payment-system-hh-pps-rate-update-hh\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"Weekly\" },\n { \"key\" : \"Common-Core_Homepage\", \"value\" : \"N/A\" },\n {\n 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},\n {\n \"key\" : \"Data-Quality_Analytical-Methods-Reference\",\n \"value\" : \"N/A\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nhsn@cdc.gov (subject line: Respiratory Pathogens and Vaccination Data)\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:020\" },\n { \"key\" : \"Common-Core-3_Described-By\", \"value\" : \"N/A\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2024-10-06 – Present \"\n },\n { \"key\" : \"Common-Core-3_Language\", \"value\" : \"English\" },\n { \"key\" : \"Common-Core-3_Publisher\", \"value\" : \"CDC\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"Weekly\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Contact-Name\", \"value\" : \"DHQP\" }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/tscn-ryh9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Weekly-Respiratory-Pathogens-and-Vaccination-RPV-M/tscn-ryh9\",\n \"owner\" :\n {\n \"id\" : \"t8bk-eydi\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Emily Wong\"\n },\n \"creator\" :\n {\n \"id\" : \"t8bk-eydi\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Emily Wong\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard\",\n \"id\" : \"rgnm-fkqb\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"More than 450 public health and clinical laboratories located throughout the United States participate in laboratory-based surveillance through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS) for respiratory adenovirus, common human coronaviruses (HCOV), human metapneumovirus (HMPV), influenza, parainfluenza viruses (PIV), rhinoviruses/enteroviruses (RV/EV), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. The dataset contains aggregate counts of the total tests performed for these viruses and positive detections reported to NREVSS since July 2019. Data from all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands are included. These data are reported weekly on a voluntary basis. Laboratories do not report demographic data through NREVSS. Testing practices vary, and the number of participating laboratories changes from year to year. All data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. Data can be updated for up to 2 years after the initial reporting week. Discrepancies may be noted and updated at the discretion of the NREVSS data stewards and key stakeholders.\\n\\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system. NREVSS does not collect patient-specific demographic information, clinical data, or outcomes (e.g., hospitalization or death). Multiple specimens may be collected from a single patient, so NREVSS results reflect the number of tests performed rather than the number of patients tested.\\n\\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive specimens from sites across a given state or even from multiple states. NREVSS cannot be used to determine the prevalence or incidence of infection. NREVSS counts reflect the latest data reported from participating laboratories and may not match data presented by various jurisdictions.\\nThe national and regional NREVSS data described here are available, beginning from July 6, 2019. Data are also visualized on the NREVSS dashboard at the following URL: https://www.cdc.gov/nrevss/php/dashboard/index.html\\n\\nFor more information on NREVSS and COVID-19 surveillance please visit https://www.cdc.gov/nrevss/php/dashboard/index.html and https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data. \\nThe regional RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data\\nrepresent averaged values that CDC calculates from testing reports. These average estimates differ from the raw regional RSV laboratory data displayed on the CDC dashboard. The national RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data are the same values included in the dashboard.\\n\\nData for all NREVSS pathogens are reported at the national and HHS regional levels. The prior two years of state level data are shared for RSV and SARS-CoV-2. Data for all influenza clinical laboratories and public health laboratories (the U.S. Influenza collaborating laboratories [ICL]) are shared through the influenza virologic surveillance and are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=%5BREDACTED%5D. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html.\\n\\nAdenovirus, HCOV, HMPV, PIV, RSV, RV/EV and SARS-COV-2 data include only nucleic acid amplification test (NAAT) results, which include reverse transcription-polymerase chain reaction (RT-PCR) test results\",\n \"attribution\" : \"CDC\",\n \"attribution_link\" : \"https://www.cdc.gov/nrevss/php/dashboard/index.html\",\n \"contact_email\" : \"nrevss@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T19:57:48.000Z\",\n \"createdAt\" : \"2025-11-28T21:06:18.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T19:57:38.000Z\",\n \"data_updated_at\" : \"2026-09-11T19:57:48.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 352,\n \"page_views_last_month\" : 2007,\n \"page_views_total\" : 9202,\n \"page_views_last_week_log\" : 8.46352437327118,\n \"page_views_last_month_log\" : 10.971543553950772,\n \"page_views_total_log\" : 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\"key\" : \"Common-Core-3_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"Weekly\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Status\", \"value\" : \"Completed\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Surveillance and Analytics Team\"\n },\n {\n \"key\" : \"Data-Quality_Footnotes\",\n \"value\" : \"Adenovirus: Adenovirus detections reported to NREVSS from respiratory specimen testing (for example, nasopharyngeal swabs). There are over 100 adenovirus types. Most commercial laboratory tests do not distinguish type without further identification. HMPV: Human metapneumovirus types A and B are not reported separately by laboratories participating in NREVSS. HCOV: Human coronavirus types HKU1, OC43, 229E, and NL63 are individually reported and summarized in aggregate under “Combined Type”. At the HHS regional level only percentage positivity is reported. PIV: Parainfluenza virus types 1 through 4 are individually reported and summarized in aggregate under “Combined Type”. At the HHS regional level only percentage positivity is reported. RV/EV: Most diagnostic assays are not able to distinguish rhinoviruses from enteroviruses and have a combined single target for both viruses. Therefore, RV/EV results are reported in a combined category via NREVSS. RSV: Respiratory syncytial virus types A and B are reported but not shown separately in this dataset. State-level data are only included when two or more labs report RSV RT-PCR testing data for at least 36 of the prior 52 weeks with an average of 10 tests per week. If data for a state are unavailable, we recommend reviewing the trends of the HHS Region level that contains the state of interest. SARS-COV-2: Severe acute respiratory syndrome coronavirus 2. State level data are only included when two or more labs report SARS-COV-2 testing data for at least 30 of the previous 52 weeks with an average of 10 tests per week. If data for a state are unavailable, we recommend reviewing the trends of the HHS Region level that contains the state of interest. Influenza viruses: Data displayed on the dashboard are provided by clinical and public health laboratories and shared through the influenza virologic surveillance system. Flu data are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=%5BREDACTED%5D. To protect confidentiality, detections between 1–4 (and their corresponding test counts) are suppressed and shown as “*”. The data that are unavailable are shown as “.”. \"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention. 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There was at least one site in each of the 10 Health and Human Services (HHS) regions. RESP-LENS collected reports of emergency department (ED) visits for acute respiratory illness (ARI) and corresponding viral testing results for SARS-CoV-2 (the virus that causes COVID-19), influenza (flu), and respiratory syncytial virus (RSV). Sites reported data for an average of approximately 77,000 ED visits weekly, of which 11,000 were associated with ARI and 4,000 of those were in children younger than 18 years. Between May 2023 and August 2024, these data were posted to CDC's RESP-LENS public dashboard, showing number tested, number positive, and percent positive for each of the three viruses mentioned, by virus, region, and age group. Due to budget constraints, RESP-LENS was not funded beyond the end of the 2024 fiscal year. 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data from last 5 weeks of 2023-24 season not available)\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"24 sites/health systems with a total of >100 participating hospitals located in 20 states and the District of Columbia\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"Never\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"RESP-LENS\" },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"acp4@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"24 sites/health systems with a total of >100 participating hospitals located in 20 states and the District of Columbia\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-23 and 2023-24 respiratory illness seasons (2 October 2022 through 31 August 2024; 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Includes those who were deemed eligible, were enrolled in NVSN and received a research test.\",\n \"MMWR week number\",\n \"Pathogen name [ex:RSV]\",\n \"Percent positivity; Percentage of patients* tested positive for pathogen by week and age group. *Includes those who were deemed eligible, were enrolled\"\n ],\n \"columns_format\" :\n [\n {},\n { \"view\" : \"date\", \"align\" : \"left\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" }\n ],\n \"download_count\" : 1092,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2024-02-28T16:41:51.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"rsv\",\n \"viral detections\",\n \"evd-68\",\n \"human coronaviruses\",\n \"human metapneumovirus\",\n \"covid-19\",\n \"adenovirus\",\n \"influenza\",\n \"medically attended illness\",\n \"ncird-corvd\",\n \"parainfluenza virus\",\n \"pediatric\",\n \"respiratory illness\",\n \"enterovirus\",\n \"rhinovirus\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"cdcinfo@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Collection\", \"value\" : \"Yes\" },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n {\n \"key\" : \"Common-Core_Homepage\",\n \"value\" : \"https://www.cdc.gov/surveillance/nvsn/index.html\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"CDC-INFO\" },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Coronavirus and Other Respiratory Viruses Division, New Vaccine Surveillance Network, Acute Respiratory Illnesses and Associated Viral Activity (version date: [Month] [Date], [Year])\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"cdcinfo@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n { \"key\" : \"Common-Core-3_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Contact-Name\", \"value\" : \"CDC-INFO\" }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/r229-z6ma\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Pathogen-Detections-Among-Enrolled-Children-in-the/r229-z6ma\",\n \"owner\" :\n {\n \"id\" : \"n2qk-w5rg\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NCIRD-CORVD\"\n },\n \"creator\" :\n {\n \"id\" : \"n2qk-w5rg\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NCIRD-CORVD\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined\",\n \"id\" : \"7mra-9cq9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\\n\\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \\n<br>\\nFor additional information, please see:<a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\\nUpdated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:17:11.000Z\",\n \"createdAt\" : \"2023-11-16T23:24:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:17:11.000Z\",\n \"data_updated_at\" : \"2024-10-18T16:08:04.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 26,\n \"page_views_last_month\" : 146,\n \"page_views_total\" : 3904,\n \"page_views_last_week_log\" : 4.754887502163469,\n \"page_views_last_month_log\" : 7.199672344836364,\n \"page_views_total_log\" : 11.931106833029343\n },\n \"columns_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_field_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_datatype\" :\n [\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\"\n ],\n \"columns_description\" :\n [\n \"[Reporting, Not Reporting]\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\",\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"COVID -19, Influenza, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\",\n \"MMWR week ending on day\",\n \"State, territory, or region.\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\"\n ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 2577,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-16T23:31:34.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"ncird\",\n \"rsv\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"respiratory-syncytial-virus\",\n \"ophdst\",\n \"nssp\",\n \"covid19\",\n \"coronavirus\",\n \"ed\",\n \"emergency-department\",\n \"flu\",\n \"influenza\",\n \"national-syndromic-surveillance-program\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, National, Regional and State Level Trajectory\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"National, Regional, State\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/7mra-9cq9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"CDC Wastewater Data for Influenza A\",\n \"id\" : \"ymmh-divb\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"This dataset provides a complete time history of Influenza A wastewater sample data and calculated metrics from US sampling locations.\\n\\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#[REDACTED] more at: www.cdc.gov/wastewater.\\n\\nThis dataset is updated weekly on Fridays.\",\n \"attribution\" : \"DIDRI/R3SB\",\n \"attribution_link\" : \"https://www.cdc.gov/wastewater\",\n \"contact_email\" : \"NWSS@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T15:03:56.000Z\",\n \"createdAt\" : \"2025-07-30T15:08:14.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T15:02:46.000Z\",\n \"data_updated_at\" : \"2026-09-11T15:03:56.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 79,\n \"page_views_last_month\" : 414,\n \"page_views_total\" : 7450,\n \"page_views_last_week_log\" : 6.321928094887362,\n \"page_views_last_month_log\" : 8.696967526234287,\n \"page_views_total_log\" : 12.86321834758244\n },\n \"columns_name\" :\n [\n \"pcr_target_flowpop_lin\",\n \"pcr_target_avg_conc_lin\",\n \"hum_frac_target_mic\",\n \"hum_frac_mic_conc\",\n \"date_updated\",\n \"rec_eff_spike_conc\",\n \"rec_eff_spike_matrix\",\n \"rec_eff_target_name\",\n \"rec_eff_percent\",\n \"hum_frac_mic_unit\",\n \"lod_sewage\",\n \"pcr_target_units\",\n \"pcr_target_avg_conc\",\n \"pcr_gene_target_agg\",\n \"pcr_target\",\n \"ntc_amplify\",\n \"inhibition_adjust\",\n \"inhibition_detect\",\n \"sample_id\",\n \"population_served\",\n \"counties_served\",\n \"county_fips\",\n \"record_id\",\n \"major_lab_method\",\n \"extraction_method\",\n \"pcr_type\",\n \"pasteurized\",\n \"concentration_method\",\n \"flow_rate\",\n \"sample_location\",\n \"sample_matrix\",\n \"sample_type\",\n \"sample_collect_date\",\n \"source\",\n \"pcr_target_detect\",\n \"state_territory\",\n \"site\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_field_name\" :\n [\n \"pcr_target_flowpop_lin\",\n \"pcr_target_avg_conc_lin\",\n \"hum_frac_target_mic\",\n \"hum_frac_mic_conc\",\n \"date_updated\",\n \"rec_eff_spike_conc\",\n \"rec_eff_spike_matrix\",\n \"rec_eff_target_name\",\n \"rec_eff_percent\",\n \"hum_frac_mic_unit\",\n \"lod_sewage\",\n \"pcr_target_units\",\n \"pcr_target_avg_conc\",\n \"pcr_gene_target_agg\",\n \"pcr_target\",\n \"ntc_amplify\",\n \"inhibition_adjust\",\n \"inhibition_detect\",\n \"sample_id\",\n \"population_served\",\n \"counties_served\",\n \"county_fips\",\n \"record_id\",\n \"major_lab_method\",\n \"extraction_method\",\n \"pcr_type\",\n \"pasteurized\",\n \"concentration_method\",\n \"flow_rate\",\n \"sample_location\",\n \"sample_matrix\",\n \"sample_type\",\n \"sample_collect_date\",\n \"source\",\n \"pcr_target_detect\",\n \"state_territory\",\n \"site\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Calendar date\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\"\n ],\n \"columns_description\" :\n [\n \"Flow-population-normalized PCR target concentration on linear scale; calculated as concentration*flow/population. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Concentration of the PCR target on a per sample amount basis; this is merely 'pcr_target_avg_conc', where all values are on a linear (not log10) concentration basis. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Name of microbial target used to estimate human fecal content\",\n \"Concentration of microbial target specified in 'hum_frac_target_mic'\",\n \"Timestamp of processing run used in posted data. \\\"As of \\\" stamp.\",\n \"Spike concentration, on average, of the recovery control on a per sample volume basis. This value is used to assess the recovery efficiency: \\\"rec_eff_percent\\\".\",\n \"Matrix into which the recovery efficiency control target is spiked to assess recovery efficiency: \\\"rec_eff_percent.\\\" \",\n \"Name of the recovery efficiency control target that is spiked in to the sample process to assess recovery efficiency. The measured concentration of this variable is used to calculate \\\"rec_eff_percent.\\\"\",\n \"Recovery efficiency percent calculates the recovery (or loss) of an exogenous organism (\\\"rec_eff_target_name\\\") from a wastewater sample after it has been fully processed (e.g., concentration and extraction) and measured by molecular detection methods such as PCR. Recovery efficiency percent is calculated by comparing the total measured gene copies in the fully processed sample (e.g., nucleic acid extract) to the measured or theoretical gene copy value of the initial spike-in concentration that was added to the wastewater sample prior to processing (\\\"rec_eff_spike_conc\\\"). “rec_eff_percent” = [((Measured \\\"rec_eff_target_name\\\" gene copies)/(\\\"rec_eff_spike_conc\\\" gene copies)) x 100].\",\n \"Concentration units of microbial target specified in 'hum_frac_target_mic'\",\n \"PCR target limit of detection (LOD) is the lowest analyte concentration that can be reliably detected by a PCR assay. This value is the LOD concentration that has been back-calculated to the PCR target concentration PRIOR to sample concentration to adjust for any concentrations or dilutions performed on samples.\",\n \"Units of PCR target sample concentration\",\n \"Concentration of the PCR target back-calculated to unconcentrated sample basis; value is \\\"0\\\" if no amplification occurred, using the definition of amplification described in 'ntc_amplify'; otherwise, the estimated concentration was entered; does not adjust for matrix recovery efficiency. Only the technical or biological replicate concentrations for the same pcr_gene_target are averaged. \",\n \"The PCR gene used to quantify PCR target. Multiple gene targets may be tested, in which case they would be aggregated to reflect the various targets.\",\n \"The target of the PCR quantification (pathogen or antimicrobial resistance (AMR) groups)\",\n \"A yes/no flag indicating contamination of PCR reagents. No template controls is a negative control to detect contamination of PCR reagents by running reactions with no nucleic acid template added. A \\\"yes\\\" value (any values above the positive threshold) indicates a positive NTC result which suggests reagent contamination and the experiment is no longer valid. \",\n \"A yes/no flag indicating whether inhibitory effects were factored into the PCR target concentration calculation. A “yes” value means that the measured PCR target concentration was adjusted for suppressed signals due to interfering compounds. Incorporating inhibition adjustments prevents underestimation of target levels.\",\n \"A yes/no flag indicating whether molecular inhibition was detected in the assay. A \\\"yes\\\" value means that amplification and detection are suppressed due to interfering substances in the sample, while a \\\"no\\\" value means inhibition was not detected. Detecting inhibition is essential for assessing assay performance and ensuring reliable quantification of target analytes.\",\n \"An anonymized ID assigned to wastewater samples. Wastewater samples for which multiple pathogen PCR targets are measured should have the same sample ID. \",\n \"Estimated number of persons served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location)\",\n \"The county and county-equivalent names corresponding to the FIPS codes in 'county_fips'.\",\n \"5-digit numeric FIPS codes of all counties and county equivalents served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location). Note that most jurisdictions are covered by counties, but some are covered by county equivalents, such as independent cities, parishes, or census areas.\",\n \"A unique identifier for each row of data.\",\n \"A number used to distinguish major lab methods at the reporting jurisdiction level. Differences in lab methods may limit the comparability of PCR target concentrations. Reporting jurisdictions should use this field to indicate that lab methods are sufficiently different that caution should be used when comparing PCR target concentrations across them. These differences may result from any lab processing or quantification steps, including different PCR gene targets. Note that 'major_lab_method' may be the same for different laboratories if the reporting jurisdiction believes concentrations measured by those laboratories are comparable; conversely, 'major_lab_method' may be different for the same laboratory if changes made to the laboratory protocol rendered concentrations not comparable. Also note that major lab method is only comparable across reporting site and should not be compared across different sites.\",\n \"Laboratory method used to purify the genetic material (RNA or DNA) of the PCR target by extraction from the sample.\",\n \"The type of PCR (e.g., qPCR, dPCR, ddPCR) used to quantify the PCR target\",\n \"A yes/no flag indicating whether the sample pasteurized or heat treated. \",\n \"Laboratory method used to concentrate (or enrich) the sample prior to analysis of the concentrate. This procedures concentrates pathogen titers from a larger volume of wastewater prior to extraction and molecular detection. \",\n \"Wastewater volumetric flow rate at the sample collection location over the 24-hr period during which the sample was collected. If only an instantaneous flow measurement is available, it may be reported in units of million gallons per day. \",\n \"Sample collection location in the wastewater system, whether at a wastewater treatment plant (or other community level treatment infrastructure such as community-scale septic) or upstream in the wastewater system\",\n \"Wastewater matrix from which the sample was collected. Wastewater matrix is a categorical variable specifying the type of wastewater sample used (e.g., raw influent, primary sludge, settled solids).\",\n \"Type of sample collected, whether grab or composite. If composite, the duration of sampling and type of composite is specified (e.g., \\\"24-hr flow-weighted composite\\\"). 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This is an arbitrary integer used to provide a unique, but anonymous identifier for a wastewater treatment plant. This identifier is consistent over time, such that the same plant retains the same ID regardless of the addition or subtraction of other plants from the data set.\",\n \"Microbial-normalized PCR target concentration on linear scale; calculated as (concentration of pathogen) / (concentration of microbial endogenous control). 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All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#[REDACTED] more at: www.cdc.gov/wastewater.\\n\\nThis dataset is updated weekly on Fridays.\",\n \"attribution\" : \"DIDRI/R3SB\",\n \"attribution_link\" : \"https://www.cdc.gov/wastewater\",\n \"contact_email\" : \"NWSS@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T15:04:22.000Z\",\n \"createdAt\" : \"2025-07-30T17:10:06.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T15:03:53.000Z\",\n \"data_updated_at\" : \"2026-09-11T15:04:22.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 68,\n \"page_views_last_month\" : 352,\n \"page_views_total\" : 3909,\n \"page_views_last_week_log\" : 6.10852445677817,\n \"page_views_last_month_log\" : 8.46352437327118,\n \"page_views_total_log\" : 11.932952892194715\n },\n \"columns_name\" :\n [\n \"lod_sewage\",\n \"pcr_target_avg_conc\",\n \"sample_type\",\n \"population_served\",\n \"pcr_target\",\n \"inhibition_adjust\",\n \"sample_location\",\n \"rec_eff_target_name\",\n \"state_territory\",\n \"site\",\n \"major_lab_method\",\n \"sample_collect_date\",\n \"pcr_target_units\",\n \"date_updated\",\n \"inhibition_detect\",\n \"rec_eff_spike_matrix\",\n \"counties_served\",\n \"hum_frac_mic_unit\",\n \"pcr_gene_target_agg\",\n \"pcr_type\",\n \"rec_eff_spike_conc\",\n \"rec_eff_percent\",\n \"hum_frac_mic_conc\",\n \"pcr_target_flowpop_lin\",\n \"extraction_method\",\n \"flow_rate\",\n \"sample_id\",\n \"hum_frac_target_mic\",\n \"county_fips\",\n \"source\",\n \"record_id\",\n \"pcr_target_avg_conc_lin\",\n \"pcr_target_detect\",\n \"ntc_amplify\",\n \"pasteurized\",\n \"concentration_method\",\n \"sample_matrix\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_field_name\" :\n [\n \"lod_sewage\",\n \"pcr_target_avg_conc\",\n \"sample_type\",\n \"population_served\",\n \"pcr_target\",\n \"inhibition_adjust\",\n \"sample_location\",\n \"rec_eff_target_name\",\n \"state_territory\",\n \"site\",\n \"major_lab_method\",\n \"sample_collect_date\",\n \"pcr_target_units\",\n \"date_updated\",\n \"inhibition_detect\",\n \"rec_eff_spike_matrix\",\n \"counties_served\",\n \"hum_frac_mic_unit\",\n \"pcr_gene_target_agg\",\n \"pcr_type\",\n \"rec_eff_spike_conc\",\n \"rec_eff_percent\",\n \"hum_frac_mic_conc\",\n \"pcr_target_flowpop_lin\",\n \"extraction_method\",\n \"flow_rate\",\n \"sample_id\",\n \"hum_frac_target_mic\",\n \"county_fips\",\n \"source\",\n \"record_id\",\n \"pcr_target_avg_conc_lin\",\n \"pcr_target_detect\",\n \"ntc_amplify\",\n \"pasteurized\",\n \"concentration_method\",\n \"sample_matrix\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\"\n ],\n \"columns_description\" :\n [\n \"PCR target limit of detection (LOD) is the lowest analyte concentration that can be reliably detected by a PCR assay. This value is the LOD concentration that has been back-calculated to the PCR target concentration PRIOR to sample concentration to adjust for any concentrations or dilutions performed on samples.\",\n \"Concentration of the PCR target back-calculated to unconcentrated sample basis; value is \\\"0\\\" if no amplification occurred, using the definition of amplification described in 'ntc_amplify'; otherwise, the estimated concentration was entered; does not adjust for matrix recovery efficiency. Only the technical or biological replicate concentrations for the same pcr_gene_target are averaged. \",\n \"Type of sample collected, whether grab or composite. If composite, the duration of sampling and type of composite is specified (e.g., \\\"24-hr flow-weighted composite\\\"). A grab sample is defined as an individual sample collected without compositing or adding other samples, regardless of whether the sample matrix is liquid wastewater or sludge.\",\n \"Estimated number of persons served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location)\",\n \"The target of the PCR quantification (pathogen or antimicrobial resistance (AMR) groups)\",\n \"A yes/no flag indicating whether inhibitory effects were factored into the PCR target concentration calculation. A “yes” value means that the measured PCR target concentration was adjusted for suppressed signals due to interfering compounds. Incorporating inhibition adjustments prevents underestimation of target levels.\",\n \"Sample collection location in the wastewater system, whether at a wastewater treatment plant (or other community level treatment infrastructure such as community-scale septic) or upstream in the wastewater system\",\n \"Name of the recovery efficiency control target that is spiked in to the sample process to assess recovery efficiency. The measured concentration of this variable is used to calculate \\\"rec_eff_percent.\\\"\",\n \"State, DC, US territory, or Freely Associated State jurisdiction name (2-letter abbreviation) in which the wastewater treatment plant is located.\",\n \"A unique identifier for wastewater treatment plants. This is an arbitrary integer used to provide a unique, but anonymous identifier for a wastewater treatment plant. This identifier is consistent over time, such that the same plant retains the same ID regardless of the addition or subtraction of other plants from the data set.\",\n \"A number used to distinguish major lab methods at the reporting jurisdiction level. Differences in lab methods may limit the comparability of PCR target concentrations. Reporting jurisdictions should use this field to indicate that lab methods are sufficiently different that caution should be used when comparing PCR target concentrations across them. These differences may result from any lab processing or quantification steps, including different PCR gene targets. Note that 'major_lab_method' may be the same for different laboratories if the reporting jurisdiction believes concentrations measured by those laboratories are comparable; conversely, 'major_lab_method' may be different for the same laboratory if changes made to the laboratory protocol rendered concentrations not comparable. Also note that major lab method is only comparable across reporting site and should not be compared across different sites.\",\n \"Sample collection date\",\n \"Units of PCR target sample concentration\",\n \"Timestamp of processing run used in posted data. \\\"As of \\\" stamp.\",\n \"A yes/no flag indicating whether molecular inhibition was detected in the assay. A \\\"yes\\\" value means that amplification and detection are suppressed due to interfering substances in the sample, while a \\\"no\\\" value means inhibition was not detected. Detecting inhibition is essential for assessing assay performance and ensuring reliable quantification of target analytes.\",\n \"Matrix into which the recovery efficiency control target is spiked to assess recovery efficiency: \\\"rec_eff_percent.\\\" \",\n \"The county and county-equivalent names corresponding to the FIPS codes in 'county_fips'.\",\n \"Concentration units of microbial target specified in 'hum_frac_target_mic'\",\n \"The PCR gene used to quantify PCR target. Multiple gene targets may be tested, in which case they would be aggregated to reflect the various targets.\",\n \"The type of PCR (e.g., qPCR, dPCR, ddPCR) used to quantify the PCR target\",\n \"Spike concentration, on average, of the recovery control on a per sample volume basis. This value is used to assess the recovery efficiency: \\\"rec_eff_percent\\\".\",\n \"Recovery efficiency percent calculates the recovery (or loss) of an exogenous organism (\\\"rec_eff_target_name\\\") from a wastewater sample after it has been fully processed (e.g., concentration and extraction) and measured by molecular detection methods such as PCR. Recovery efficiency percent is calculated by comparing the total measured gene copies in the fully processed sample (e.g., nucleic acid extract) to the measured or theoretical gene copy value of the initial spike-in concentration that was added to the wastewater sample prior to processing (\\\"rec_eff_spike_conc\\\"). “rec_eff_percent” = [((Measured \\\"rec_eff_target_name\\\" gene copies)/(\\\"rec_eff_spike_conc\\\" gene copies)) x 100].\",\n \"Concentration of microbial target specified in 'hum_frac_target_mic'\",\n \"Flow-population-normalized PCR target concentration on linear scale; calculated as concentration*flow/population. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Laboratory method used to purify the genetic material (RNA or DNA) of the PCR target by extraction from the sample.\",\n \"Wastewater volumetric flow rate at the sample collection location over the 24-hr period during which the sample was collected. If only an instantaneous flow measurement is available, it may be reported in units of million gallons per day. \",\n \"An anonymized ID assigned to wastewater samples. Wastewater samples for which multiple pathogen PCR targets are measured should have the same sample ID. \",\n \"Name of microbial target used to estimate human fecal content\",\n \"5-digit numeric FIPS codes of all counties and county equivalents served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location). Note that most jurisdictions are covered by counties, but some are covered by county equivalents, such as independent cities, parishes, or census areas.\",\n \"The source of the data collected and reported to CDC's Wastewater Surveillance Program, including public health departments (State_Territory), CDC's national wastewater testing contract (CDC_Verily, or formerly, cdc_biobot) and an academic partner group WastewaterSCAN (WastewaterSCAN). For additional information see: https://www.cdc.gov/wastewater/about/index.html\",\n \"A unique identifier for each row of data.\",\n \"Concentration of the PCR target on a per sample amount basis; this is merely 'pcr_target_avg_conc', where all values are on a linear (not log10) concentration basis. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Whether or not 'pcr_target' was detected for each sample record. The value is either 'yes' or 'no' and is calculated after gene target aggregation.\",\n \"A yes/no flag indicating contamination of PCR reagents. No template controls is a negative control to detect contamination of PCR reagents by running reactions with no nucleic acid template added. A \\\"yes\\\" value (any values above the positive threshold) indicates a positive NTC result which suggests reagent contamination and the experiment is no longer valid. \",\n \"A yes/no flag indicating whether the sample pasteurized or heat treated. \",\n \"Laboratory method used to concentrate (or enrich) the sample prior to analysis of the concentrate. This procedures concentrates pathogen titers from a larger volume of wastewater prior to extraction and molecular detection. \",\n \"Wastewater matrix from which the sample was collected. Wastewater matrix is a categorical variable specifying the type of wastewater sample used (e.g., raw influent, primary sludge, settled solids).\",\n \"Microbial-normalized PCR target concentration on linear scale; calculated as (concentration of pathogen) / (concentration of microbial endogenous control). The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\"\n ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n {},\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" }\n ],\n \"download_count\" : 2818,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2026-03-06T16:21:22.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"united states\",\n \"avian influenza a (h5)\",\n \"flu\",\n \"h5\",\n \"h5n1\",\n \"influenza\",\n \"ncezid\",\n \"nwss\",\n \"wastewater\",\n \"weekly\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"NWSS@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:028\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"US States and Territories\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n {\n \"key\" : \"Common-Core_Homepage\",\n \"value\" : \"www.cdc.gov/wastewater\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Wastewater Surveillance System (NWSS)\"\n },\n {\n \"key\" : \"Data-Quality_Footnotes\",\n \"value\" : \"Wastewater concentrations at different sampling locations might be collected at different frequencies and obtained using different laboratory methods. It is not advised that wastewater concentrations be compared across sampling locations.\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, National Wastewater Surveillance System Analytics Data Set, year(s), as compiled from data provided through National Wastewater Surveillance System in the Rapid Response Research and Surveillance Branch (R3SB).\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"County level\"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"Sampling location\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"NWSS@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"US States and Territories\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:028\" },\n { \"key\" : \"Common-Core-3_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Wastewater Surveillance System (NWSS)\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/mtpu-urpp\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-Avian-Influenza-A-H5-/mtpu-urpp\",\n \"owner\" :\n {\n \"id\" : \"mt3r-qr2b\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NWSS\"\n },\n \"creator\" :\n {\n \"id\" : \"mt3r-qr2b\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NWSS\"\n }\n }\n ],\n \"resultSetSize\" : 9,\n \"timings\" : { \"serviceMillis\" : 25, \"searchMillis\" : [ 2, 8 ] },\n \"warnings\" : []\n}",
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"success": true,
"title": "",
"url": "https://api.us.socrata.com/api/catalog/v1"
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web_fetch completeddispatch toolu_0126QZAsG3PwCPvfq1KYBMpD
Input
{
"brief": "Find state-level ED visit percent dataset id",
"url": "https://api.us.socrata.com/api/catalog/v1?domains=%5BREDACTED%5D&q=%5BREDACTED%5D&limit=%5BREDACTED%5D&only=%5BREDACTED%5D"
}
Tool Progress E0045
(no result)
Tool Result E0046
{
"content": "{\n \"results\" :\n [\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\",\n \"id\" : \"vutn-jzwm\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\\n<br>\\nFor additional information, please see: <a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\",\n \"attribution\" : \"National Syndromic Surveillance Program (NSSP)\",\n \"attribution_link\" : \"https://www.cdc.gov/respiratory-viruses/index.html\",\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:23.000Z\",\n \"createdAt\" : \"2023-09-01T21:08:45.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:21.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:23.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 58,\n \"page_views_last_month\" : 346,\n \"page_views_total\" : 27991,\n \"page_views_last_week_log\" : 5.882643049361842,\n \"page_views_last_month_log\" : 8.43879185257826,\n \"page_views_total_log\" : 14.772726949239852\n },\n \"columns_name\" :\n [ \"percent_visits\", \"week_end\", \"geography\", \"pathogen\" ],\n \"columns_field_name\" :\n [ \"percent_visits\", \"week_end\", \"geography\", \"pathogen\" ],\n \"columns_datatype\" : [ \"Number\", \"Calendar date\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"MMWR week ending on day\",\n \"Name of state, district, or territory. United States for entire country combined\",\n \"COVID, Flu, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\"\n ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 5012,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2024-11-08T16:08:12.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"coronavirus\",\n \"national syndromic surveillance program\",\n \"ophdst\",\n \"nssp\",\n \"ncird\",\n \"respiratory virus response\",\n \"influenza\",\n \"respiratory syncytial virus\",\n \"rvr\",\n \"rsv\",\n \"flu\",\n \"emergency department\",\n \"ed\",\n \"covid19\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-12-31/2024-02-17\"\n },\n {\n \"key\" : \"Common-Core_References\",\n \"value\" : \"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"\n },\n { \"key\" : \"Common-Core_Geographic-Coverage\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program (NSSP)\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response . (2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined (September 6, 2023 Version). https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/vutn-jzwm\"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"State\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-12-31/2024-02-17\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program (NSSP)\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/vutn-jzwm\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/vutn-jzwm\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined \",\n \"id\" : \"rdmq-nq56\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region. \\n\\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \\n\\nMore information on HSAs is available <a href=\\\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\\\"><b>here</b></a>.\\n\\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”. \\n\\nFor additional information, please see: <a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n\\nUpdated once per week on Fridays. \",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:31:47.000Z\",\n \"createdAt\" : \"2023-12-15T00:58:18.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:31:47.000Z\",\n \"data_updated_at\" : \"2026-09-09T16:13:09.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 320,\n \"page_views_last_month\" : 1825,\n \"page_views_total\" : 67050,\n \"page_views_last_week_log\" : 8.326429487122303,\n \"page_views_last_month_log\" : 10.834471049984222,\n \"page_views_total_log\" : 16.03297122822331\n },\n \"columns_name\" :\n [\n \"percent_visits_smoothed_combined\",\n \"percent_visits_smoothed_rsv\",\n \"percent_visits_influenza\",\n \"percent_visits_covid\",\n \"week_end\",\n \"fips\",\n \"hsa_nci_id\",\n \"hsa\",\n \"trend_source\",\n \"hsa_counties\",\n \"percent_visits_smoothed_covid\",\n \"ed_trends_rsv\",\n \"BuildNumber\",\n \"ed_trends_covid\",\n \"ed_trends_influenza\",\n \"geography\",\n \"county\",\n \"percent_visits_combined\",\n \"percent_visits_rsv\",\n \"percent_visits_smoothed_influenza\"\n ],\n \"columns_field_name\" :\n [\n \"percent_visits_smoothed\",\n \"percent_visits_smoothed_rsv\",\n \"percent_visits_influenza\",\n \"percent_visits_covid\",\n \"week_end\",\n \"fips\",\n \"hsa_nci_id\",\n \"hsa\",\n \"trend_source\",\n \"hsa_counties\",\n \"percent_visits_smoothed_covid\",\n \"ed_trends_rsv\",\n \"buildnumber\",\n \"ed_trends_covid\",\n \"ed_trends_influenza\",\n \"geography\",\n \"county\",\n \"percent_visits_combined\",\n \"percent_visits_rsv\",\n \"percent_visits_smoothed_1\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Calendar date\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Number\",\n \"Number\"\n ],\n \"columns_description\" :\n [\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\",\n \"\"\n ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"view\" : \"iso_8601_date\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {},\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" }\n ],\n \"download_count\" : 19069,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-12-18T19:19:02.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"coronavirus\",\n \"covid19\",\n \"ed\",\n \"emergency department\",\n \"flu\",\n \"influenza\",\n \"national syndromic surveillance program\",\n \"ncird\",\n \"nssp\",\n \"ophdst\",\n \"respiratory syncytial virus\",\n \"rsv\",\n \"rvr\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-10-01/2023-01-27\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2024). NSSP Emergency Department Visits - COVID-19, Flu, RSV, Sub-state \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National, Regional, State, County \"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-10-01/2023-01-27\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/rdmq-nq56\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visit-Trajectories-by-St/rdmq-nq56\",\n \"owner\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category\",\n \"id\" : \"7xva-uux8\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category \\n\\nFor additional information, please see: <a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>.\\n\\nUpdated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:04:16.000Z\",\n \"createdAt\" : \"2023-09-27T20:45:24.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:04:14.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:04:16.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 157,\n \"page_views_last_month\" : 839,\n \"page_views_total\" : 13351,\n \"page_views_last_week_log\" : 7.303780748177103,\n \"page_views_last_month_log\" : 9.714245517666123,\n \"page_views_total_log\" : 13.704768239362599\n },\n \"columns_name\" :\n [\n \"week_end\",\n \"percent_visits\",\n \"pathogen\",\n \"geography\",\n \"demographics_values\",\n \"demographics_type\"\n ],\n \"columns_field_name\" :\n [\n \"week_end\",\n \"percent_visits\",\n \"pathogen\",\n \"geography\",\n \"demographics_values\",\n \"demographics_type\"\n ],\n \"columns_datatype\" :\n [ \"Calendar date\", \"Number\", \"Text\", \"Text\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"MMWR week ending on day \",\n \"Percent of visits with specified pathogen and demographic category of all visits for specified geography and demographic category and week \",\n \"COVID-19, Flu, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses \",\n \"Jurisdiction for summary value. Initially only \\\"United States\\\" with field added to support potential future geographies. \",\n \"Value for age, sex, or race/ethnicity \",\n \"Demographic category (age, sex, or race/ethnicity) \"\n ],\n \"columns_format\" :\n [\n { \"view\" : \"iso_8601_date_utc\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {}\n ],\n \"download_count\" : 9251,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-09-27T20:46:50.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"virus\",\n \"rsv\",\n \"respiratory syncytial virus\",\n \"national syndromic surveillance program\",\n \"respiratory syncytial\",\n \"ncird\",\n \"influenza\",\n \"flu\",\n \"emergency department\",\n \"nssp\",\n \"ophdst\",\n \"ed\",\n \"covid19\",\n \"coronavirus\",\n \"rvr\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-11-05/2024-02-17\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S. \"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W \" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2024). NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category\"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S. \" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-11-05/2024-02-17\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/7xva-uux8\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/NSSP-Emergency-Department-Visits-COVID-19-Flu-RSV-/7xva-uux8\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"NSSP Emergency Department Respiratory Daily\",\n \"id\" : \"vjzj-u7u8\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"NSSP Emergency Department Respiratory Daily. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given day from data submitted to the National Syndromic Surveillance Program (NSSP). \\n\\n\\n\\nFor additional information, please see: Companion Guide: NSSP Emergency Department Data on Respiratory Illness\\n\\nWhile the data are stratified by day, updated data are available once per week each Wednesday.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-10T00:05:46.000Z\",\n \"createdAt\" : \"2025-08-04T14:29:02.000Z\",\n \"metadata_updated_at\" : \"2026-09-10T00:05:46.000Z\",\n \"data_updated_at\" : \"2026-09-08T17:00:36.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 742,\n \"page_views_last_month\" : 2763,\n \"page_views_total\" : 9339,\n \"page_views_last_week_log\" : 9.537218400538597,\n \"page_views_last_month_log\" : 11.432541900388259,\n \"page_views_total_log\" : 13.189206834597025\n },\n \"columns_name\" :\n [ \"percent_visits\", \"geography\", \"date\", \"pathogen\" ],\n \"columns_field_name\" :\n [ \"percent_visits\", \"geography\", \"date\", \"pathogen\" ],\n \"columns_datatype\" : [ \"Number\", \"Text\", \"Calendar date\", \"Text\" ],\n \"columns_description\" : [ \"\", \"\", \"\", \"\" ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {}\n ],\n \"download_count\" : 767,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-08-04T15:17:15.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Coronavirus and Other Respiratory Viruses\",\n \"domain_tags\" : [ \"respiratory\", \"nssp\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"Gbedegnon Azondekon\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Gbedegnon Azondekon\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/vjzj-u7u8\",\n \"link\" : \"https://data.cdc.gov/Coronavirus-and-Other-Respiratory-Viruses/NSSP-Emergency-Department-Respiratory-Daily/vjzj-u7u8\",\n \"owner\" :\n {\n \"id\" : \"xei9-h3sc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GBEDEGNON AZONDEKON\"\n },\n \"creator\" :\n {\n \"id\" : \"xei9-h3sc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GBEDEGNON AZONDEKON\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Level of Acute Respiratory Illness (ARI) Activity by State\",\n \"id\" : \"f3zz-zga5\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Respiratory illness activity is monitored using the acute respiratory illness (ARI) metric. ARI captures a broad range of diagnoses from emergency department visits for respiratory illnesses, from the common cold to severe infections like influenza, RSV and COVID-19. It captures illnesses that may not present with fever, offering a more complete picture than the previous influenza-like illness (ILI) metric. \\n\\n Updated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov \",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:03.000Z\",\n \"createdAt\" : \"2024-10-04T17:47:30.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:02.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:03.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 360,\n \"page_views_last_month\" : 1972,\n \"page_views_total\" : 36448,\n \"page_views_last_week_log\" : 8.49585502688717,\n \"page_views_last_month_log\" : 10.946175240723559,\n \"page_views_total_log\" : 15.153591613447853\n },\n \"columns_name\" : [\n \"week_end\",\n \"BuildNumber\",\n \"geography\",\n \"label\"\n ],\n \"columns_field_name\" :\n [ \"week_end\", \"buildnumber\", \"geography\", \"label\" ],\n \"columns_datatype\" : [ \"Calendar date\", \"Text\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"MMWR week ending on day \",\n \"\",\n \"National, State, Territory \",\n \"This represents the ARI metric level observed for the most recent week. This value is repeated for all rows for a given geography and pathogen. \"\n ],\n \"columns_format\" : [ {}, {}, {}, {} ],\n \"download_count\" : 2860,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2024-11-08T16:20:19.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [ \"emergency department\", \"flu\", \"covid-19\", \"ari\", \"rsv\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov \"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:038\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"07/23/2027\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S. \"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National, State \"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov \"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S. \" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:038\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"07/23/2027\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/f3zz-zga5\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Level-of-Acute-Respiratory-Illness-ARI-Activity-by/f3zz-zga5\",\n \"owner\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined\",\n \"id\" : \"7mra-9cq9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\\n\\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \\n<br>\\nFor additional information, please see:<a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\\nUpdated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:17:11.000Z\",\n \"createdAt\" : \"2023-11-16T23:24:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:17:11.000Z\",\n \"data_updated_at\" : \"2024-10-18T16:08:04.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 26,\n \"page_views_last_month\" : 146,\n \"page_views_total\" : 3904,\n \"page_views_last_week_log\" : 4.754887502163469,\n \"page_views_last_month_log\" : 7.199672344836364,\n \"page_views_total_log\" : 11.931106833029343\n },\n \"columns_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_field_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_datatype\" :\n [\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\"\n ],\n \"columns_description\" :\n [\n \"[Reporting, Not Reporting]\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\",\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"COVID -19, Influenza, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\",\n \"MMWR week ending on day\",\n \"State, territory, or region.\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\"\n ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 2577,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-16T23:31:34.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"ncird\",\n \"rsv\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"respiratory-syncytial-virus\",\n \"ophdst\",\n \"nssp\",\n \"covid19\",\n \"coronavirus\",\n \"ed\",\n \"emergency-department\",\n \"flu\",\n \"influenza\",\n \"national-syndromic-surveillance-program\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, National, Regional and State Level Trajectory\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"National, Regional, State\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/7mra-9cq9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Respiratory Conditions Treated in the Emergency Department\",\n \"id\" : \"v58w-vynu\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Methods for Creating Respiratory Conditions:\\n\\nThe International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. For a list of diagnostic codes included in the ARI metric, visit the <a href=\\\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf\\\">Acute Respiratory Illness Technical Brief</a>.\\n\\nThese codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and <a href=\\\"https://hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#[REDACTED]\">Clinical Classifications Software Refined (CCSRs)</a> categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.\\n\\nShort codes listed capture all codes underneath them (e.g., J09 includes J09.X1–J09.X9).\\n\\nFindings for each of the 14 condition categories were analyzed by age group.\\n\\nSource: National Syndromic Surveillance Program (NSSP)\\n\\nThe NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.\\n\\nNational data include emergency departments in all 50 states, the District of Columbia, and Guam. View the <a href=\\\"https://www.cdc.gov/nssp/media/images/2024/04/Participation-with-date.png\\\">Coverage Map</a>.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:32.000Z\",\n \"createdAt\" : \"2025-08-04T14:54:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:29.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:32.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 99,\n \"page_views_last_month\" : 511,\n \"page_views_total\" : 6800,\n \"page_views_last_week_log\" : 6.643856189774725,\n \"page_views_last_month_log\" : 9.0,\n \"page_views_total_log\" : 12.731531176461942\n },\n \"columns_name\" :\n [ \"age_group\", \"week_end\", \"percent_visits\", \"condition\" ],\n \"columns_field_name\" :\n [ \"age_group\", \"week_end\", \"percent_visits\", \"condition\" ],\n \"columns_datatype\" : [ \"Text\", \"Calendar date\", \"Number\", \"Text\" ],\n \"columns_description\" : [ \"\", \"\", \"\", \"\" ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {}\n ],\n \"download_count\" : 1564,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-08-08T14:31:50.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"National Center for Immunization and Respiratory Diseases\",\n \"domain_tags\" :\n [\n \"ari other\",\n \"bacteria\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"virus\",\n \"ed data\",\n \"ophdst\",\n \"ncird\"\n ],\n \"domain_metadata\" :\n [\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/v58w-vynu\",\n \"link\" : \"https://data.cdc.gov/National-Center-for-Immunization-and-Respiratory-D/Respiratory-Conditions-Treated-in-the-Emergency-De/v58w-vynu\",\n \"owner\" :\n {\n \"id\" : \"uwfi-yirr\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"rjx2@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"uwfi-yirr\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"rjx2@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates\",\n \"id\" : \"eze9-ahe5\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"<b>Data Source Description</b>: Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health threats. By tracking symptoms and conditions reported by patients in emergency departments (EDs), public health officials can monitor trends in critical areas. When people seek treatment in the ED, the facility sends de-identified data—including chief complaint, diagnosis codes, patient characteristics, and location—to state and local health departments to share with CDC. \\n \\n\\n<b>Indicator definitions</b>: Definitions include both (1) visits with acute mental health crises or evaluations where the sole or primary reason for the visit is related to mental health, and (2) visits where a mental health condition may not be the sole reason for the visit but was noted to be present in the discharge diagnosis or chief complaint. \\n\\nED data are displayed as rates. \\n\\n* The rate explains the number of ED visits related to a specific mental health condition out of every 100,000 ED visits. The monthly rate of ED visits related to a condition is calculated as the number of ED visits related to a condition as a fraction of the total number of ED visits in a given month multiplied by 100,000. ED visits with and without mental health conditions where patients were under 12 years old and where age, sex, and race and ethnicity were unknown were included in the denominators when calculating rates for the overall population. \\n\\n* Rates are also calculated within demographic groups such as age, sex, and race and ethnicity. This is done by comparing the number of ED visits related to a condition within a demographic group as a fraction of the total number of ED visits for that demographic group in a given month multiplied by 100,000. \\n\\n \\n\\n<b>Data quality and methodology</b>: More than 6,900 health care facilities covering 50 states, the District of Columbia, and Guam contribute data to NSSP daily. More than 80% of U.S. emergency departments send data to NSSP. Data are collected continuously, and for the purposes of this data channel, updated monthly. Monthly counts that are less than 10 either for the complete population or for specific demographic groups are not shown to protect confidentiality and privacy. Note, rate information may change as data are dynamically adjusted as electronic health record information is updated. However, these changes will not typically affect overall trends. \\n\\n \\n<b>For additional information, please see</b>: <a href = \\\"https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html\\\" target =\\\"_blank\\\">Mental Health Data Sources</a>. \\n \\nUpdated monthly. \",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"mentalhealthdata@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:01:53.000Z\",\n \"createdAt\" : \"2025-04-29T17:01:14.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:01:53.000Z\",\n \"data_updated_at\" : \"2026-08-26T17:36:26.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 122,\n \"page_views_last_month\" : 528,\n \"page_views_total\" : 7474,\n \"page_views_last_week_log\" : 6.94251450533924,\n \"page_views_last_month_log\" : 9.047123912114026,\n \"page_views_total_log\" : 12.86785786397283\n },\n \"columns_name\" :\n [\n \"month_end\",\n \"rate_per_100000_visits\",\n \"condition\",\n \"demographics_type\",\n \"demographics_values\"\n ],\n \"columns_field_name\" :\n [\n \"month_end\",\n \"rate_per_100000_visits\",\n \"condition\",\n \"demographics_type\",\n \"demographics_values\"\n ],\n \"columns_datatype\" : [ \"Text\", \"Text\", \"Text\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"Month\",\n \"Rate per 100,000 visits\",\n \"Condition description\",\n \"Demographic type\",\n \"Demographic values\"\n ],\n \"columns_format\" :\n [\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {}\n ],\n \"download_count\" : 1510,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-05-28T15:52:24.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Mental Health\",\n \"domain_tags\" :\n [ \"nssp\", \"mental health\", \"emergency department data\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"mentalhealthdata@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:033\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2019-01/present \"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1M\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"Mental Health Data Channel\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, National Syndromic Surveillance Program, Mental Health-Related Emergency Department Visit Rates [date] \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"mentalhealthdata@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:033\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2019-01/present \"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1M\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Mental Health Data Channel\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/eze9-ahe5\",\n \"link\" : \"https://data.cdc.gov/Mental-Health/National-Syndromic-Surveillance-Program-NSSP-Menta/eze9-ahe5\",\n \"owner\" :\n {\n \"id\" : \"cxhp-e5ei\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Mental Health Data Channel\"\n },\n \"creator\" :\n {\n \"id\" : \"cxhp-e5ei\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Mental Health Data Channel\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Imputed Hospitalization Rate for RSV at the State Level\",\n \"id\" : \"whhs-7a5d\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Weekly imputed RSV hospital admission rates per 100,000 population from 47 states plus DC from 2018-2024 are described. 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Estimates are based on emergency department visits reported to the National Syndromic Surveillance Program (NSSP), and generated using a model that includes nowcasting to adjust for incomplete reports on the most recent dates. See the visuals supported by these data, and more information about the data, models and methods at https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html, and https://www.cdc.gov/respiratory-viruses/data/activity-levels.html.\\n\\nFor a semi-technical overview of the modeling methods used to generate these estimates see https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html.\\n\\nNote: On June 1, 2026 the modeling methods used to generate these estimates changed.\\n\\nFor `as_of` dates prior to 2026-06-01, estimates were generated using a semi-mechanistic Bayesian model run using the R package EpiNow2. Models were run independently in each state. 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"content": "{\n \"results\" :\n [\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\",\n \"id\" : \"vutn-jzwm\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\\n<br>\\nFor additional information, please see: <a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\",\n \"attribution\" : \"National Syndromic Surveillance Program (NSSP)\",\n \"attribution_link\" : \"https://www.cdc.gov/respiratory-viruses/index.html\",\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:23.000Z\",\n \"createdAt\" : \"2023-09-01T21:08:45.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:21.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:23.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 58,\n \"page_views_last_month\" : 346,\n \"page_views_total\" : 27991,\n \"page_views_last_week_log\" : 5.882643049361842,\n \"page_views_last_month_log\" : 8.43879185257826,\n \"page_views_total_log\" : 14.772726949239852\n },\n \"columns_name\" :\n [ \"percent_visits\", \"week_end\", \"geography\", \"pathogen\" ],\n \"columns_field_name\" :\n [ \"percent_visits\", \"week_end\", \"geography\", \"pathogen\" ],\n \"columns_datatype\" : [ \"Number\", \"Calendar date\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"MMWR week ending on day\",\n \"Name of state, district, or territory. 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(2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined (September 6, 2023 Version). https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/vutn-jzwm\"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"State\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-12-31/2024-02-17\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program (NSSP)\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/vutn-jzwm\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/vutn-jzwm\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined \",\n \"id\" : \"rdmq-nq56\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region. \\n\\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \\n\\nMore information on HSAs is available <a href=\\\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\\\"><b>here</b></a>.\\n\\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. 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This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given day from data submitted to the National Syndromic Surveillance Program (NSSP). \\n\\n\\n\\nFor additional information, please see: Companion Guide: NSSP Emergency Department Data on Respiratory Illness\\n\\nWhile the data are stratified by day, updated data are available once per week each Wednesday.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-10T00:05:46.000Z\",\n \"createdAt\" : \"2025-08-04T14:29:02.000Z\",\n \"metadata_updated_at\" : \"2026-09-10T00:05:46.000Z\",\n \"data_updated_at\" : \"2026-09-08T17:00:36.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 742,\n \"page_views_last_month\" : 2763,\n \"page_views_total\" : 9339,\n \"page_views_last_week_log\" : 9.537218400538597,\n \"page_views_last_month_log\" : 11.432541900388259,\n \"page_views_total_log\" : 13.189206834597025\n },\n \"columns_name\" :\n [ \"percent_visits\", \"geography\", \"date\", \"pathogen\" ],\n \"columns_field_name\" :\n [ \"percent_visits\", \"geography\", \"date\", \"pathogen\" ],\n \"columns_datatype\" : [ \"Number\", \"Text\", \"Calendar date\", \"Text\" ],\n \"columns_description\" : [ \"\", \"\", \"\", \"\" ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {}\n ],\n \"download_count\" : 767,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-08-04T15:17:15.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Coronavirus and Other Respiratory Viruses\",\n \"domain_tags\" : [ \"respiratory\", \"nssp\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"Gbedegnon Azondekon\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Gbedegnon Azondekon\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/vjzj-u7u8\",\n \"link\" : \"https://data.cdc.gov/Coronavirus-and-Other-Respiratory-Viruses/NSSP-Emergency-Department-Respiratory-Daily/vjzj-u7u8\",\n \"owner\" :\n {\n \"id\" : \"xei9-h3sc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GBEDEGNON AZONDEKON\"\n },\n \"creator\" :\n {\n \"id\" : \"xei9-h3sc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GBEDEGNON AZONDEKON\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Level of Acute Respiratory Illness (ARI) Activity by State\",\n \"id\" : \"f3zz-zga5\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Respiratory illness activity is monitored using the acute respiratory illness (ARI) metric. ARI captures a broad range of diagnoses from emergency department visits for respiratory illnesses, from the common cold to severe infections like influenza, RSV and COVID-19. It captures illnesses that may not present with fever, offering a more complete picture than the previous influenza-like illness (ILI) metric. \\n\\n Updated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov \",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:03.000Z\",\n \"createdAt\" : \"2024-10-04T17:47:30.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:02.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:03.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 360,\n \"page_views_last_month\" : 1972,\n \"page_views_total\" : 36448,\n \"page_views_last_week_log\" : 8.49585502688717,\n \"page_views_last_month_log\" : 10.946175240723559,\n \"page_views_total_log\" : 15.153591613447853\n },\n \"columns_name\" : [\n \"week_end\",\n \"BuildNumber\",\n \"geography\",\n \"label\"\n ],\n \"columns_field_name\" :\n [ \"week_end\", \"buildnumber\", \"geography\", \"label\" ],\n \"columns_datatype\" : [ \"Calendar date\", \"Text\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"MMWR week ending on day \",\n \"\",\n \"National, State, Territory \",\n \"This represents the ARI metric level observed for the most recent week. This value is repeated for all rows for a given geography and pathogen. \"\n ],\n \"columns_format\" : [ {}, {}, {}, {} ],\n \"download_count\" : 2860,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2024-11-08T16:20:19.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [ \"emergency department\", \"flu\", \"covid-19\", \"ari\", \"rsv\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov \"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:038\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"07/23/2027\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S. \"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National, State \"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov \"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S. \" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:038\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"07/23/2027\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/f3zz-zga5\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Level-of-Acute-Respiratory-Illness-ARI-Activity-by/f3zz-zga5\",\n \"owner\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined\",\n \"id\" : \"7mra-9cq9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\\n\\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \\n<br>\\nFor additional information, please see:<a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\\nUpdated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:17:11.000Z\",\n \"createdAt\" : \"2023-11-16T23:24:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:17:11.000Z\",\n \"data_updated_at\" : \"2024-10-18T16:08:04.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 26,\n \"page_views_last_month\" : 146,\n \"page_views_total\" : 3904,\n \"page_views_last_week_log\" : 4.754887502163469,\n \"page_views_last_month_log\" : 7.199672344836364,\n \"page_views_total_log\" : 11.931106833029343\n },\n \"columns_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_field_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_datatype\" :\n [\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\"\n ],\n \"columns_description\" :\n [\n \"[Reporting, Not Reporting]\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\",\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"COVID -19, Influenza, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\",\n \"MMWR week ending on day\",\n \"State, territory, or region.\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\"\n ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 2577,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-16T23:31:34.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"ncird\",\n \"rsv\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"respiratory-syncytial-virus\",\n \"ophdst\",\n \"nssp\",\n \"covid19\",\n \"coronavirus\",\n \"ed\",\n \"emergency-department\",\n \"flu\",\n \"influenza\",\n \"national-syndromic-surveillance-program\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, National, Regional and State Level Trajectory\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"National, Regional, State\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/7mra-9cq9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Respiratory Conditions Treated in the Emergency Department\",\n \"id\" : \"v58w-vynu\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Methods for Creating Respiratory Conditions:\\n\\nThe International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. For a list of diagnostic codes included in the ARI metric, visit the <a href=\\\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf\\\">Acute Respiratory Illness Technical Brief</a>.\\n\\nThese codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and <a href=\\\"https://hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#[REDACTED]\">Clinical Classifications Software Refined (CCSRs)</a> categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.\\n\\nShort codes listed capture all codes underneath them (e.g., J09 includes J09.X1–J09.X9).\\n\\nFindings for each of the 14 condition categories were analyzed by age group.\\n\\nSource: National Syndromic Surveillance Program (NSSP)\\n\\nThe NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.\\n\\nNational data include emergency departments in all 50 states, the District of Columbia, and Guam. View the <a href=\\\"https://www.cdc.gov/nssp/media/images/2024/04/Participation-with-date.png\\\">Coverage Map</a>.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:32.000Z\",\n \"createdAt\" : \"2025-08-04T14:54:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:29.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:32.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 99,\n \"page_views_last_month\" : 511,\n \"page_views_total\" : 6800,\n \"page_views_last_week_log\" : 6.643856189774725,\n \"page_views_last_month_log\" : 9.0,\n \"page_views_total_log\" : 12.731531176461942\n },\n \"columns_name\" :\n [ \"age_group\", \"week_end\", \"percent_visits\", \"condition\" ],\n \"columns_field_name\" :\n [ \"age_group\", \"week_end\", \"percent_visits\", \"condition\" ],\n \"columns_datatype\" : [ \"Text\", \"Calendar date\", \"Number\", \"Text\" ],\n \"columns_description\" : [ \"\", \"\", \"\", \"\" ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {}\n ],\n \"download_count\" : 1564,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-08-08T14:31:50.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"National Center for Immunization and Respiratory Diseases\",\n \"domain_tags\" :\n [\n \"ari other\",\n \"bacteria\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"virus\",\n \"ed data\",\n \"ophdst\",\n \"ncird\"\n ],\n \"domain_metadata\" :\n [\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/v58w-vynu\",\n \"link\" : \"https://data.cdc.gov/National-Center-for-Immunization-and-Respiratory-D/Respiratory-Conditions-Treated-in-the-Emergency-De/v58w-vynu\",\n \"owner\" :\n {\n \"id\" : \"uwfi-yirr\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"rjx2@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"uwfi-yirr\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"rjx2@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates\",\n \"id\" : \"eze9-ahe5\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"<b>Data Source Description</b>: Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health threats. By tracking symptoms and conditions reported by patients in emergency departments (EDs), public health officials can monitor trends in critical areas. When people seek treatment in the ED, the facility sends de-identified data—including chief complaint, diagnosis codes, patient characteristics, and location—to state and local health departments to share with CDC. \\n \\n\\n<b>Indicator definitions</b>: Definitions include both (1) visits with acute mental health crises or evaluations where the sole or primary reason for the visit is related to mental health, and (2) visits where a mental health condition may not be the sole reason for the visit but was noted to be present in the discharge diagnosis or chief complaint. \\n\\nED data are displayed as rates. \\n\\n* The rate explains the number of ED visits related to a specific mental health condition out of every 100,000 ED visits. The monthly rate of ED visits related to a condition is calculated as the number of ED visits related to a condition as a fraction of the total number of ED visits in a given month multiplied by 100,000. ED visits with and without mental health conditions where patients were under 12 years old and where age, sex, and race and ethnicity were unknown were included in the denominators when calculating rates for the overall population. \\n\\n* Rates are also calculated within demographic groups such as age, sex, and race and ethnicity. This is done by comparing the number of ED visits related to a condition within a demographic group as a fraction of the total number of ED visits for that demographic group in a given month multiplied by 100,000. \\n\\n \\n\\n<b>Data quality and methodology</b>: More than 6,900 health care facilities covering 50 states, the District of Columbia, and Guam contribute data to NSSP daily. More than 80% of U.S. emergency departments send data to NSSP. Data are collected continuously, and for the purposes of this data channel, updated monthly. Monthly counts that are less than 10 either for the complete population or for specific demographic groups are not shown to protect confidentiality and privacy. Note, rate information may change as data are dynamically adjusted as electronic health record information is updated. However, these changes will not typically affect overall trends. \\n\\n \\n<b>For additional information, please see</b>: <a href = \\\"https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html\\\" target =\\\"_blank\\\">Mental Health Data Sources</a>. \\n \\nUpdated monthly. \",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"mentalhealthdata@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:01:53.000Z\",\n \"createdAt\" : \"2025-04-29T17:01:14.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:01:53.000Z\",\n \"data_updated_at\" : \"2026-08-26T17:36:26.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 122,\n \"page_views_last_month\" : 528,\n \"page_views_total\" : 7474,\n \"page_views_last_week_log\" : 6.94251450533924,\n \"page_views_last_month_log\" : 9.047123912114026,\n \"page_views_total_log\" : 12.86785786397283\n },\n \"columns_name\" :\n [\n \"month_end\",\n \"rate_per_100000_visits\",\n \"condition\",\n \"demographics_type\",\n \"demographics_values\"\n ],\n \"columns_field_name\" :\n [\n \"month_end\",\n \"rate_per_100000_visits\",\n \"condition\",\n \"demographics_type\",\n \"demographics_values\"\n ],\n \"columns_datatype\" : [ \"Text\", \"Text\", \"Text\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"Month\",\n \"Rate per 100,000 visits\",\n \"Condition description\",\n \"Demographic type\",\n \"Demographic values\"\n ],\n \"columns_format\" :\n [\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {}\n ],\n \"download_count\" : 1510,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-05-28T15:52:24.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Mental Health\",\n \"domain_tags\" :\n [ \"nssp\", \"mental health\", \"emergency department data\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"mentalhealthdata@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:033\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2019-01/present \"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1M\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"Mental Health Data Channel\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, National Syndromic Surveillance Program, Mental Health-Related Emergency Department Visit Rates [date] \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"mentalhealthdata@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:033\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2019-01/present \"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1M\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Mental Health Data Channel\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/eze9-ahe5\",\n \"link\" : \"https://data.cdc.gov/Mental-Health/National-Syndromic-Surveillance-Program-NSSP-Menta/eze9-ahe5\",\n \"owner\" :\n {\n \"id\" : \"cxhp-e5ei\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Mental Health Data Channel\"\n },\n \"creator\" :\n {\n \"id\" : \"cxhp-e5ei\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Mental Health Data Channel\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Imputed Hospitalization Rate for RSV at the State Level\",\n \"id\" : \"whhs-7a5d\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Weekly imputed RSV hospital admission rates per 100,000 population from 47 states plus DC from 2018-2024 are described. Rates were estimated by combining values from RSV-Net with those from NSSP and NHSN to obtain combined time series of RSV hospital admissions counts. States with overlapping values in both sets underwent interpolation and extrapolation procedures for estimates throughout the time series. These states were then used to impute values for states that did not have surveillance data within RSV-Net. Calculated RSV hospital admission rates (either interpolated, extrapolated, or imputed) are reported. See the GitHub for code and further description.\",\n \"attribution\" : \"NCIRD/CORVD\",\n \"attribution_link\" : \"https://github.com/CDCGov/RSVHospitalBurdenEstimation\",\n \"contact_email\" : \"CORVDInformatics@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:00:43.000Z\",\n \"createdAt\" : \"2026-01-08T19:10:35.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:00:43.000Z\",\n \"data_updated_at\" : \"2026-05-13T16:18:13.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 195,\n \"page_views_last_month\" : 455,\n \"page_views_total\" : 2237,\n \"page_views_last_week_log\" : 7.6147098441152075,\n \"page_views_last_month_log\" : 8.832890014164743,\n \"page_views_total_log\" : 11.127994320976395\n },\n \"columns_name\" :\n [\n \"RSVNet RSV Count\",\n \"NSSP RSV Count\",\n \"Epi Week Start Date\",\n \"Calculated Counts\",\n \"State\",\n \"State Abbreviation\"\n ],\n \"columns_field_name\" :\n [\n \"rsvnet\",\n \"nssp\",\n \"week\",\n \"interpolated_extrapolated\",\n \"state\",\n \"state_abb\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Calendar date\",\n \"Number\",\n \"Text\",\n \"Text\"\n ],\n \"columns_description\" :\n [\n \"Estimated counts of RSV hospital admissions based on RSV-Net rates per 100k people and state populations\",\n \"Estimated counts of RSV hospital admissions based on NSSP's % ED visits due to RSV and COVID and NHSN's counts of COVID hospital admissions\",\n \"Date for start of the MMWR epidemiological week (Sunday)\",\n \"Value of RSV hospital admission counts obtained from interpolation, extrapolation, or imputation methods using other count totals\",\n \"State name\",\n \"State 2-letter abbreviation\"\n ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {},\n {}\n ],\n \"download_count\" : 144,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2026-05-13T16:18:24.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Coronavirus and Other Respiratory Viruses\",\n \"domain_tags\" :\n [\n \"rsv\",\n \"surveillance\",\n \"respiratory syncytial virus\",\n \"hospitalization\",\n \"respiratory illness\",\n \"respiratory disease\",\n \"rate\",\n \"nssp\",\n \"hospitalizations\",\n \"hospitalization rate\",\n \"rsvnet\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"CORVDInformatics@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2018-09-30 to 2024-10-06\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"US States\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n {\n \"key\" : \"Common-Core_Update-Frequency\",\n \"value\" : \"Not updated\"\n },\n {\n \"key\" : \"Common-Core_Homepage\",\n \"value\" : \"https://github.com/CDCGov/RSVHospitalBurdenEstimation\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"CORVD Informatics\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"State\"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"State\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"CORVDInformatics@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"US States\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2018-09-30 to 2024-10-06\"\n },\n { \"key\" : \"Common-Core-3_Publisher\", \"value\" : \"CDC\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"Not updated\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"CORVD Informatics\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/whhs-7a5d\",\n \"link\" : \"https://data.cdc.gov/Coronavirus-and-Other-Respiratory-Viruses/Imputed-Hospitalization-Rate-for-RSV-at-the-State-/whhs-7a5d\",\n \"owner\" :\n {\n \"id\" : \"8jxp-krex\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NCEZID-DHQP\"\n },\n \"creator\" :\n {\n \"id\" : \"8jxp-krex\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NCEZID-DHQP\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"CDC Epidemic Trends and Rt\",\n \"id\" : \"5dqz-y4ea\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"An archive of estimated trend categories, probabilities of epidemic growth, and Rt, updated weekly for COVID-19 and flu. Estimates are based on emergency department visits reported to the National Syndromic Surveillance Program (NSSP), and generated using a model that includes nowcasting to adjust for incomplete reports on the most recent dates. See the visuals supported by these data, and more information about the data, models and methods at https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html, and https://www.cdc.gov/respiratory-viruses/data/activity-levels.html.\\n\\nFor a semi-technical overview of the modeling methods used to generate these estimates see https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html.\\n\\nNote: On June 1, 2026 the modeling methods used to generate these estimates changed.\\n\\nFor `as_of` dates prior to 2026-06-01, estimates were generated using a semi-mechanistic Bayesian model run using the R package EpiNow2. Models were run independently in each state. Source code is available at https://github.com/CDCgov/cfa-epinow2-pipeline.\\n\\nFor `as_of` dates after 2026-06-01, estimates were generated using a hierarchical generalized additive model (HGAM) in which data were spatially partially pooled. Methods details are available at https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"cfa@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:03:53.000Z\",\n \"createdAt\" : \"2024-12-06T21:03:30.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:42.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:03:53.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 1654,\n \"page_views_last_month\" : 7467,\n \"page_views_total\" : 115598,\n \"page_views_last_week_log\" : 10.692615501694581,\n \"page_views_last_month_log\" : 12.866506212226202,\n \"page_views_total_log\" : 16.81876939216052\n },\n \"columns_name\" :\n [\n \"p_growing\",\n \"category\",\n \"BuildNumber\",\n \"interval_width\",\n \"disease\",\n \"state\",\n \"median\",\n \"lower\",\n \"upper\",\n \"as_of\",\n \"date\"\n ],\n \"columns_field_name\" :\n [\n \"p_growing\",\n \"category\",\n \"buildnumber\",\n \"interval_width\",\n \"disease\",\n \"state\",\n \"median\",\n \"lower\",\n \"upper\",\n \"as_of\",\n \"date\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Text\",\n \"Calendar date\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Calendar date\",\n \"Calendar date\"\n ],\n \"columns_description\" :\n [\n \"Estimated probability that Rt is above one (defined as the fraction of the credible interval that falls above one)\",\n \"Reported epidemic trend category for the disease, state, and model run (as_of date), as published in the map visuals linked in the dataset description\",\n \"\",\n \"Width of the credible interval. 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Tool Progress E0051
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Tool Result E0052
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"content": "[{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"Alabama\",\"percent_visits\":\"0.7\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"Alaska\",\"percent_visits\":\"0.2\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"Arizona\",\"percent_visits\":\"0.6\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"Arkansas\",\"percent_visits\":\"0.4\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"California\",\"percent_visits\":\"0.6\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"Colorado\",\"percent_visits\":\"0.2\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"Connecticut\",\"percent_visits\":\"0.3\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"Delaware\",\"percent_visits\":\"0.2\"}\n,{\"week_end\":\"2026-08-22T00:00:00.000\",\"pathogen\":\"COVID-19\",\"geography\":\"District 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}
Sub-agent trace (toolu_01Mcs1E6yp2m1NTyuvzTQkeU, 3 events)
tools_started web_fetch t=117995.559
Inner payload
{
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"url": "https://data.cdc.gov/resource/vutn-jzwm.json?%24where=%5BREDACTED%5D&%24limit=%5BREDACTED%5D"
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"panel_kind": "web_fetch"
}tools_progress web_fetch t=117995.560
Inner payload
{
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"status": "running",
"result": null,
"error": "",
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"fields": {
"progress": {
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}
},
"status": "running",
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}
}tools_completed web_fetch t=117995.561
Inner payload
{
"tool_name": "web_fetch",
"dispatch_id": "toolu_01Mcs1E6yp2m1NTyuvzTQkeU",
"status": "completed",
"result": {
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Latest week ending Sept 5: COVID elevated and rising, flu and RSV low.
Lab test positivity · CDC data
| Virus | Week ending 9/5 | Prior week 8/29 |
|---|
| COVID-19 | 5.6% | 5.6% |
| Influenza | 1.3% | 1.0% |
| RSV | 0.5% | 0.4% |
Markdown source
### Lab test positivity · CDC data
| Virus | Week ending 9/5 | Prior week 8/29 |
|---|---|---|
| COVID-19 | 5.6% | 5.6% |
| Influenza | 1.3% | 1.0% |
| RSV | 0.5% | 0.4% |
COVID's big mover: HHS Region 6 (TX, LA, OK, NM, AR) jumped to 14.5% from 9.8%. Hawaii, Texas, and Louisiana are state hot spots for ED visits.
Flu ticked up slightly, and Alaska's ED visits for flu doubled to 1.6%. RSV flat everywhere.
https://www.cdc.gov/respiratory-viruses/data/
Normalized evidence
The redacted, numbered record a structured judge grades. Check rows above link to the IDs they cite.
Use the web_fetch tool to answer the prompt.
What do the latest weekly data on https://www.cdc.gov/respiratory-viruses/data/ show for COVID-19, influenza, and RSV? Compare the newest week with the prior week and identify regional hot spots.
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{"dispatch_id": "toolu_01Qn2dJBxkuqrL4fZE63jLWR", "elapsed": 0.057414635, "error": "", "result": {"content": "Respiratory Illnesses Data Channel | Respiratory Illnesses | CDC\n\n [Skip directly to site content](#content) [Skip directly to search](#cdc-search__input)\n\n\n\n\n\n\n\n\n\n\n\n\n\n  An official website of the United States government\n\n [Here's how you know](#gov-notice)\n\n\n\n\n\n\n\n \n\n **Official websites use .gov**\n\nA **.gov** website belongs to an official government organization in the United States.\n\n\n\n\n\n\n\n \n\n **Secure .gov websites use HTTPS**\n\nA **lock** ( ** ) or **https://** means you've safely connected to the .gov website. 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However, it remains possible that there could be larger increases this summer, particularly if a variant that the immune system no longer recognizes becomes more common . Scenario modeling indicates that regions which did not experience a substantial level of COVID-19 activity during the most recent winter months (South and West) are expected to experience increases in COVID-19 activity in the summer months. Read more: [2026 COVID-19 Summer Outlook | CFA: Qualitative Assessments | CDC](/cfa-qualitative-assessments/php/data-research/2026covid-19outlook.html)\n\n\n\n\n\n\n\n## Protect yourself and your community\n\n\n\n\n\n### Looking for guidance?\n\n\n\nThere are simple measures you can take to protect yourself and those around you.\n\n[Updated CDC Guidance](https://www.cdc.gov/respiratory-viruses/prevention/index.html)\n\n\n\n\n - [Explore resources and recommendations for older adults - Stay informed and protected](/respiratory-viruses/risk-factors/index.html#cdc_risk_factors_who-older-adults)\n - [Review tailored health recommendations for high-risk individuals](/respiratory-viruses/risk-factors/index.html#cdc_risk_factors_risk_factor-people-with-underlying-health-conditions)\n - [Feeling ill? Take immediate steps to protect yourself and others – Start here](/respiratory-viruses/prevention/precautions-when-sick.html)\n - [Have symptoms? Consider wearing a mask](/respiratory-viruses/prevention/masks.html)\n - [Take action against germs – Practice good hygiene](/respiratory-viruses/prevention/hygiene.html)\n\n\n\n\n\n\n\n## Continue exploring these data\n\n\n\n[](/respiratory-viruses/data/activity-levels.html)\n\n\n\n[Respiratory Virus Activity Levels](/respiratory-viruses/data/activity-levels.html)\n\n\n\nUpdates on how COVID-19, Flu, and RSV may be spreading nationally and in your state\n\n Sept 11, 2026\n\n\n\n\n\n[](/respiratory-viruses/data/illness-severity.html)\n\n\n\n[Severe Viral Respiratory Illness](/respiratory-viruses/data/illness-severity.html)\n\n\n\nData on how respiratory viruses are contributing to serious health outcomes\n\n Sept 11, 2026\n\n\n\n\n\n[](/respiratory-viruses/data/most-impacted.html)\n\n\n\n[People Most Impacted by Respiratory Viruses](/respiratory-viruses/data/most-impacted.html)\n\n\n\nHow people of different ages, race and ethnicity, and sex are affected by COVID-19, flu, and RSV.\n\n Sept 11, 2026\n\n\n\n\n\n[](/respiratory-viruses/data/illnesses-going-around.html)\n\n\n\n[Other Respiratory Illnesses Going Around](/respiratory-viruses/data/illnesses-going-around.html)\n\n\n\nThis page details respiratory illnesses from viruses and bacteria other than COVID-19, flu, and RSV\n\n Sept 11, 2026\n\n\n\n\n\n[](/respiratory-viruses/data/vaccination-trends.html)\n\n\n\n[Vaccination Trends](/respiratory-viruses/data/vaccination-trends.html)\n\n\n\nVaccination uptake & intent for COVID, flu, and RSV\n\n Sept 11, 2026\n\n\n\n\n\n\n\n\n\n## Explore related data\n\n\n\n\n\n\n\n\n\n### Modeling Data\n\n\n\n\n\n\n\n[Anticipated trends for COVID-19 infections](/cfa-modeling-and-forecasting/rt-estimates/index.html), based on modeling, are displayed at the national and state levels.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Wastewater\n\n\n\n\n\n\n\n[Wastewater (sewage) data specific to SARS-CoV-2](/nwss/rv/COVID19-national-data.html), the virus that causes COVID-19, are displayed at the national, regional, and state levels. These data can provide an early signal of changes in infection levels.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### COVID-19 Variants\n\n\n\n\n\n\n\n[COVID-19 variants and genomic surveillance](/covid/php/variants/variants-and-genomic-surveillance.html) data are displayed for the nation.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Nursing Homes\n\n\n\n\n\n\n\n[Nursing home data on vaccinations, cases, and hospitalizations for COVID-19, flu, and RSV](/nhsn/ltc/ltc-report-overview.html) are displayed at the national and state levels.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Hospital Bed Occupancy\n\n\n\n\n\n\n\n[Weekly trends in overall hospital bed occupancy and reporting status](/nhsn/psc/hospital-respiratory-dashboard.html).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## On This Page\n\n\n\n\n - [Your community snapshot](#cdc_data_surveillance_section_1-your-community-snapshot)\n - [Weekly national summary](#cdc_data_surveillance_section_2-weekly-national-summary)\n - [Season Outlook](#cdc_data_surveillance_section_7-season-outlook)\n - [Protect yourself and your community](#cdc_data_surveillance_section_3-protect-yourself-and-your-community)\n - [Continue exploring these data](#cdc_data_surveillance_section_4-continue-exploring-these-data)\n - [Explore related data](#cdc_data_surveillance_section_5-explore-related-data)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Sept. 11, 2026\n\n\n\n\n\n [Sources and Page Info](#content-sources) [Print](#print) [Share](#share)\n\n # # # #\n\n\n\n\n\n\n\n [Facebook](https://www.facebook.com/) [LinkedIn](https://www.linkedin.com/) [Twitter](https://twitter.com/) [Syndicate](https://tools.cdc.gov/medialibrary/index.aspx#[REDACTED])\n\n\n\n\n\n\n\n\n\nContent Source\n\n [National Center for Immunization and Respiratory Diseases (NCIRD)](/ncird/index.html)\n\n\n\n About This Page\n\n\n\n Published: July 17, 2024\n\n\n\n Updated: September 11, 2026\n\nThis page was last updated on this date. Updates may include minor edits, image changes, or other modifications to page content.\n\n\n\n\n\n Reviewed: September 11, 2026\n\nThe information on this page was last reviewed by subject matter experts to ensure accuracy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## [** Respiratory Illnesses **](/respiratory-viruses/index.html)\n\n\n\nRespiratory illnesses affect the lungs and airways. Get information on common causes, prevention actions, and current levels of illness in your community.\n\n [View All](/respiratory-viruses/site.html)\n\n\n\n\n\n\n\n\n\n### [For Everyone](/respiratory-viruses/index.html#gen)\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n\n\n\n\n\n\n\n\n\n### [Health Care Providers](/respiratory-viruses/hcp/index.html#hcp)\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n\n\n\n\n\n\n\n### [Public Health](/respiratory-viruses/site.html#php)\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n\n\n\n\n\n\n\n\n\n\n\n ** [Sign up for Email Updates](https://tools.cdc.gov/campaignproxyservice/subscriptions.aspx#[REDACTED]) **\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Contact Us](#contactUs)\n\n\n\n [Contact Us](https://www.cdc.gov/cdc-info/index.html)\n - [Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n\n\n [About CDC](#aboutCDC)\n\n\n\n [About CDC](https://www.cdc.gov/about/)\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n\n\n\n\n\n [Policies](#policies)\n\n\n\n\n\n\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n\n\n\n\n - 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[Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n [About CDC](#mobile-footer-aboutCDC)\n\n\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n - [About CDC](https://www.cdc.gov/about/)\n\n\n\n [Policies](#mobile-footer-policies)\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n - [FOIA](https://www.cdc.gov/foia/)\n - [OIG](https://oig.hhs.gov/)\n - [No Fear Act](https://www.cdc.gov/oeeowe/no-fear-act/)\n - [Nondiscrimination](https://www.cdc.gov/other/nondiscrimination.html)\n - [Vulnerability Disclosure Policy](https://www.hhs.gov/vulnerability-disclosure-policy/index.html)\n\n\n\n [Languages](#mobile-footer-languages)\n\n\n\nLanguages\n\n\n - [Español](https://www.cdc.gov/spanish/)\n\n\n\nLanguage Assistance\n\n\n - [Español](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [繁體中文](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tiếng Việt](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [한국어](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tagalog](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Русский](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [العربية](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Kreyòl Ayisyen](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Français](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Polski](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Português](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Italiano](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Deutsch](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [日本語](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [فارسی](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [English](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n [Archive](#mobile-footer-archive)\n\n\n - [CDC Archive](https://archive.cdc.gov/)\n - [Public Health Publications](https://stacks.cdc.gov/)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov/)\n\n\n\n\n\n [**](https://www.facebook.com/CDC) [**](https://twitter.com/CDCgov) [**](https://www.instagram.com/CDCgov) [**](https://www.linkedin.com/company/centers-for-disease-control-and-prevention)\n\n\n\n [**](https://www.youtube.com/cdc) [**](https://www.pinterest.com/cdcgov) [**](https://www.snapchat.com/add/cdcgov) [**](https://www.cdc.gov/rss)\n\n\n\n\n\n\n\n\n\n\n\n [HHS.gov](https://hhs.gov) [USA.gov](https://usa.gov)\n\n\n\n\n\n\n\n\n\n\n\n **", "content_length": 18131, "content_type": "text/html", "description": "View data for COVID-19, flu, and RSV activity in your community and across the United States.", "status_code": 200, "success": true, "title": "Respiratory Illnesses Data Channel | Respiratory Illnesses | CDC", "url": "https://www.cdc.gov/respiratory-viruses/data/"}, "status": "completed", "tool_name": "web_fetch"}
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{"dispatch_id": "toolu_01Cdooaxvcxjw82HfpCZjP5q", "elapsed": 0.05366966, "error": "", "result": {"content": "Respiratory Virus Activity Levels | Respiratory Illnesses | CDC\n\n [Skip directly to site content](#content) [Skip directly to search](#cdc-search__input)\n\n\n\n\n\n\n\n\n\n\n\n\n\n  An official website of the United States government\n\n [Here's how you know](#gov-notice)\n\n\n\n\n\n\n\n \n\n **Official websites use .gov**\n\nA **.gov** website belongs to an official government organization in the United States.\n\n\n\n\n\n\n\n \n\n **Secure .gov websites use HTTPS**\n\nA **lock** ( ** ) or **https://** means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n Explore This Topic\n\n Search\n\n Search Clear Search\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [For Everyone](/respiratory-viruses/index.html)\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View all](/respiratory-viruses/site.html#gen)\n\n\n\n\n\n\n\n\n\n [Health Care Providers](/respiratory-viruses/hcp/index.html)\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View all](/respiratory-viruses/site.html#hcp)\n\n\n\n\n\n\n\n\n\n [Public Health](/respiratory-viruses/site.html#php)\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View all](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n ** Related Topics: **\n\n\n\n [COVID-19](/covid/index.html) | [Seasonal Flu](/flu/index.html) | [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n *search*\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html) Menu **\n\n\n\n\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View All](/respiratory-viruses/site.html#gen) [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Health Care Providers\n\n\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View All](/respiratory-viruses/site.html#hcp) [Home](/respiratory-viruses/hcp/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Public Health\n\n\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View All](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n Related Topics\n\n\n\n\n\n\n - [COVID-19](/covid/index.html)\n - [Seasonal Flu](/flu/index.html)\n - [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n [About](/respiratory-viruses/about/index.html) [Risk Factors](/respiratory-viruses/risk-factors/index.html) [Prevention](/respiratory-viruses/prevention/index.html) [Treatment](/respiratory-viruses/treatment/index.html) [Caring for Yourself](/respiratory-viruses/immune-health/index.html) [Data and Trends](/respiratory-viruses/data/index.html) [Communication Resources](/respiratory-viruses/communication-resources/index.html) View Menu\n\n\n\n\n\n\n\n\n\n\n\n# Respiratory Virus Activity Levels\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n Sept. 11, 2026\n\n\n\n [Español](/respiratory-viruses/es/data/niveles-de-actividad.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## What to know\n\n\n\n\n\n\n - CDC tracks respiratory virus activity across the country in several different ways.\n\n - Tracking trends with respiratory viruses using multiple methods helps us spot patterns in a more thorough way.\n\n - Use these pages to get an overall look at respiratory virus illness across the country and in your area.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Summary\n\n\n\n\n\n\n\n\n\n## Level of respiratory virus activity\n\n\n\nCDC tracks respiratory virus activity using a measure called the acute respiratory illness (ARI) metric. ARI is tracked by activity levels, so people can easily compare states and understand how much illness is occurring in their area. ARI includes many types of respiratory illnesses that can lead people to go to the emergency department (ED), including serious infections like [COVID-19](https://www.cdc.gov/covid/index.html),[flu](https://www.cdc.gov/flu/index.html), and [RSV](https://www.cdc.gov/rsv/index.html) disease. Because COVID-19, flu, and RSV are among the most common and serious causes of respiratory illness, they serve as key indicators of overall respiratory virus activity.\n\n\n\n **Tip:** Move your mouse over different areas of the map to see more information about illness levels across the country.\n\n\n\nSelect either **map or trend** below to change views and see more details.\n\n\n\nRefer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details about the data source.\n\n\n\n\n\n\n\n\n\n## Percent positive tests for respiratory viruses\n\n\n\nTracking the percent of laboratory tests that are positive for SARS-CoV-2 (the virus that causes COVID-19), influenza viruses (flu), and RSV is another method used to check respiratory virus activity. These data can provide useful warnings alongside emergency department (ED) and hospital data. An increase in the **percent of positive** tests means more viruses are spreading in the community.\n\n\n\n**Tip:** move your mouse over the chart for more detailed information. Each virus is represented by a different color, see the key at the top of the graphic. Preliminary data are shaded in gray. For more information on data sources, refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All).\n\n\n\n\n\n\n\n\n\n\n\n## Community viral activity level\n\n\n\nWastewater (sewage) can be tested in the laboratory to detect traces of viruses circulating in a community. It can pick up signs of infection even from people who feel perfectly healthy. Viruses can be found in wastewater that comes from homes and businesses. Because wastewater contains contributions from many places, we cannot identify the exact source of viruses—such as people, livestock, or other animals.\n\n\n\n**Keep Reading** [COVID-19 National Wastewater Data](/nwss/rv/COVID19-national-data.html)\n\n**You** **can select** either COVID-19, Influenza A, or RSV disease to see information about each illness.\n\n\n\n**Tip:** click any area on the map to reveal detailed information about that location. Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details about data sources and important information to help you understand how wastewater is used as an early sign of illness.\n\n\n\n* Level based on a small segment (less than 5%) of the population and may not be representative of the state/territory. [Read more »](/respiratory-viruses/data/faqs.html)\n\n\n\n\n\n\n\n## ED visits for viral respiratory illness\n\n\n\n CDC tracks emergency department (ED) visits to quickly understand how a virus is spreading and how sick people are getting. ED data provide timely warnings about whether COVID-19, flu, or RSV disease is increasing or decreasing. CDC tracks the weekly percent of all ED visits associated with COVID-19, flu, and RSV.\n\n\n\nThe weekly percent of total ED visits associated with COVID-19, flu, and RSV are each shown in line charts.\n\n\n\n**Tip:** move your mouse over the chart and you will see information about ED visits for each illness over a certain time. Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more details.\n\n\n\n\n\n\n\n\n\n## Epidemic trends\n\n\n\nCDC uses data from emergency department visits from previous weeks to model how viruses spread from week to week. This trend is based on a measurement called Rt, the time-based reproduction number, which measures the expected number of people infected by one patient over time.\n\n\n\n*Flu and RSV epidemic trend data updates for the 2025-2026 respiratory illness season ended on May 29, 2026. COVID-19 epidemic trend data will continue to update throughout the summer. We will begin flu and RSV updates for the next respiratory illness season in Fall 2026.*\n\n\n\n**Tip: **you can see the epidemic trends across the country when you** click on different states and territories **on the map to see details**.** Refer to [data notes](/respiratory-viruses/data/activity-levels.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for details about the data source.\n\n\n\n\n\n\n\n\n\n\n\n## Data notes\n\n\n\n\n\n\n\n\n\n### Level of respiratory illness activity\n\n\n\n\n\n\n - **Source**: National Syndromic Surveillance Program: [https://www.cdc.gov/nssp/index.html](/nssp/index.html).\n - The acute respiratory illness (ARI) metric categorizes the percentage of emergency department (ED) visits into five activity levels (Very Low, Low, Moderate, High, and Very High), helping people understand the extent of respiratory illness activity in an area. For a list of diagnostic codes for the ARI metric visit: [Acute Respiratory Illness Technical Brief](https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf).\n\n\n\n#### Methodology for using acute respiratory illness (ARI) as a surveillance metric to describe levels (categories) of emergency department (ED) visits:\n\n\n\nAcute respiratory illness (ARI) is a non-specific syndrome that captures a broad range of diagnoses from emergency department visits for respiratory illnesses, ranging from the common cold to infections that can be severe including COVID-19, influenza, and respiratory syncytial virus (RSV). An ARI-related metric classifies the percentage of ED visits due to ARI into 5 levels (categories): Very Low, Low, Moderate, High, and Very High at the regional, state, and local levels.\n\n\n - For each of the 10 U.S. Department of Health and Human Services Regions separately, we identified the weeks with the lowest activity for respiratory illnesses. This was done using clinical and public health laboratory test positivity data for COVID-19 and RSV from National Respiratory and Enteric Virus Surveillance System (NREVSS), and public health laboratory data from [FluView](https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html), excluding H5, for recent surveillance years (2023-2024, 2024-2025, and 2025-2026 defined as epidemiologic Week 27 through Week 26 of the following calendar year). The lowest activity weeks serve as the reference periods.\n - Lowest activity for COVID-19 and RSV: identified as weeks in a given year when, for at least two consecutive weeks, <1% of tests for COVID-19 and RSV are positive.\n - Lowest activity for influenza: identified as weeks in a given year when, for at least two consecutive weeks, <2% of tests for influenza in those weeks are positive.\n - Week 27 through Week 26 of the following calendar year was used to define a surveillance year in order to capture summer COVID-19 activity as the start of a given season.\n - Lowest activity weeks for ARI were identified as weeks when COVID-19, influenza, and RSV were all identified as having low activity according to their separate thresholds.\n\n\n - For each state within a region, the reference periods were used to calculate the values that created the levels (categories) for the 2026-2027 surveillance year.\n\n\n - First, we calculated the weekly percentage of ED visits attributed to each pathogen and ARI overall within the identified lowest activity periods.\n - Next, we calculated the mean, M, and standard deviation, S, attributed to each pathogen and ARI overall within the identified lowest activity periods. The mean was considered the baseline value for each state and was used as the top value for the Very Low category.\n - Then, we computed the maximum number of standard deviations above the mean for any observed week over all weeks in the three previous seasons (N = (maximum number of standard deviations - M) / S).\n - The maximum number of standard deviations (N) was divided by 4 and multiplied by the standard deviation (S = standard deviation). This value was denoted as D, so D = (N / 4) * S.\n\n\n - Using X = percent of ED visits in a week for each pathogen and ARI overall, we classified activity levels as follows:\n - Very Low: X <= M, activity at or below baseline\n - Low: M < X <= M + D\n - Moderate: M + D < X <= M + 2D\n - High: M + 2D < X <= + 3D\n - Very High: M + 3D < X\n\n\n - **Missouri:** Due to data quality issues, Missouri's historical data before MMWR Week 10 of 2025 (March 2-8, 2025) could not be used for computing levels, thus leaving insufficient data. To address this, data from the rest of HHS Region 7 (Iowa, Kansas, and Nebraska) were used in place of Missouri's own before Week 10 of 2025 to compute the 2026-2027 levels for Missouri; for Week 10 of 2025 and later in the historical baseline years, Missouri's data was used.\n - **Iowa:** Due to a change in HIE vendors, the data feed from Iowa to NSSP was terminated on May 6, 2026. Therefore, only data through the week ending May 2, 2026 is considered and the partial week from May 3 to 9, 2026 is not included. Data and levels for the weeks ending May 9, 2026 and later will show as Data Unavailable.\n\n\n\n#### Hospital service areas (HSAs)\n\n\n\nHSAs were created by CDC's National Center for Health Statistics (NCHS) in 1996. An HSA is an area that is relatively self-contained with respect to hospital care. There are 949 HSAs. HSAs can vary in size, encompassing a single city, a county or a larger region within a state. Areas with higher population concentrations may have smaller HSAs to ensure adequate healthcare access, while sparsely populated regions might have larger HSAs that cover a broader geographical area. The National Institutes of Health National Cancer Institute (NCI) modified the HSA designations so that any HSA that crossed state or Surveillance, Epidemiology, and End Results (SEER) Registry boundaries was split so that all counties from one HSA were in one state and/or SEER Registry. The NCI SEER dataset can be accessed here: [Health Service Areas (HSA) - SEER Datasets (cancer.gov)](https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html)\n\n\n\n#### Display criteria for sub-state levels (categories)\n\n\n - Jurisdictions may elect not to display sub-state ED visit data for a variety of reasons.\n - Data from HSAs with fewer than 30% of hospitals participating in NSSP are suppressed to ensure a minimum level of representativeness.\n - Sub-state display of levels (categories) is further limited to ensure that calculations are stable and based on having a sufficient number of total ED visits. For each state, a minimum number of total ED visits (V) is defined as V = 1/D, where D = maximum number of standard deviations above the mean for any observed week divided by 4 (see above). This value of V is determined separately for COVID-19, influenza, RSV, and ARI overall for each state.\n - To assess if an HSA meets the criteria for classification based on sufficient data, data weeks from Week 1 to Week 26 of 2026 were considered. If the total number of ED visits in an HSA during these weeks was equal to or greater than the corresponding V value, it indicated sufficient data. However, if the total number of weeks meeting this minimum count fell below 80% (21 out of 26 weeks), the level (category) was not displayed for that HSA in any week. The percentage of ED visits for COVID-19, influenza, or RSV may still be displayed even if the level (category) is not displayed.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Percent of positive tests for viral respiratory pathogens\n\n\n\n\n\n\n - **Sources**: COVID-19 and RSV: National Respiratory and Enteric Virus Surveillance System ([NREVSS](/nrevss/php/dashboard/index.html)), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories. Flu: Clinical laboratory test results from NREVSS and flu collaborating laboratories; more details about [influenza virologic surveillance](/fluview/overview) are available.\n\n\n\n\nData is preliminary and may change as more reports are received. The most recent 3 weeks in gray are more likely to change because of delays in reporting. Data represents laboratory tests performed, not individual people. The data are reported across the country in all regions.\n\n\n\nThe percent of positive tests is calculated by dividing the number of positive tests by the total number of tests given, then multiplying by 100 [(# of positive tests/total tests) x 100].\n\n\n\nRSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain rection tests (PCR). Participating laboratories report weekly to CDC the total number of COVID-19, flu, and RSV tests performed that week and the number of those tests that were positive.\n\n\n - COVID-19 laboratory data is available for [download](https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data).\n - RSV laboratory data are available for [download](https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data).\n - Flu laboratory data are available for [download](https://www.cdc.gov/fluview/overview/fluview-interactive.html?CDC_AAref_Val=%5BREDACTED%5D).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Wastewater viral activity level\n\n\n\n\n\n\n\nThe map shows the Wastewater Viral Activity Level across US states and territories. Activity levels indicate how much virus is currently detected in the wastewater – ranging from very low to very high. Wastewater monitoring can detect viruses spreading from one person to another within a community earlier than clinical testing, and before people who are sick go to their healthcare provider or hospital. It can also detect infections in people without symptoms. For more information, see [Data Methods](https://www.cdc.gov/wastewater/about-data/index.html).\n\n\n\nData representing less than 5% of the population has a hatching, or lined, pattern on the map, indicating the wastewater viral activity level may not show the full picture for that state or territory. States or territories without sufficient data are indicated as \"No data\". This can be because data was not reported from the state or territory, or the monitored sites do not have enough data to calculate the wastewater viral activity level.\n\n\n\nWastewater data will not include waste that may be disposed of outside the wastewater system, such as dirty diapers.\n\n\n\n#### Data limitations for flu A\n\n\n\nWastewater data cannot determine the source of flu A viruses. Detections could come from a human or from an animal (like a bird) or an animal product (like milk from an infected cow). Wastewater testing for flu displayed in these visuals only detects flu A viruses and does not distinguish between flu A subtypes (seasonal flu A[H1N1] virus, seasonal flu A[H3N2] virus and avian flu A[H5] virus).\n\n\n\nFor more data limitations, see [Data Methods](https://www.cdc.gov/nwss/about-data.html#[REDACTED]).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### ED visits for viral respiratory illness\n\n\n\n\n\n\n\nSource: National Syndromic Surveillance Program: [https://www.cdc.gov/nssp/index.html](https://www.cdc.gov/nssp/index.html)\n\n\n\nThere are no data available for the following states/territories: Guam and South Dakota. for additional information, you can read [Companion Guide: NSSP Emergency Department Data on Respiratory Illness](https://archive.cdc.gov/www_cdc_gov/ncird/surveillance/respiratory-illnesses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Epidemic trends\n\n\n\n\n\n\n\nSource: The Center for Forecasting and Outbreak Analytics: [Current Epidemic Trends (Based on Rt) for States](https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html).\n\n\n\nThe epidemic trend is based on *Rt*, the time-varying reproductive number. *Rt *measures disease transmission. If *Rt *is above 1, the number of infections is growing because, on average, each infected person is causing more than one new infection; if *Rt *is below 1, it indicates that infections are declining. *Rt *is estimated using data on ED visits reported through the [National Syndromic Surveillance Program (NSSP](https://www.cdc.gov/nssp/index.html)).\n\n\n\nThe map's color coding reflects whether infections are likely to increase or decrease:\n\n\n - Dark purple: Infections are growing\n - Purple: Infections are likely growing\n - Gray: Infections are likely not changing\n - Green: Infections are likely declining\n - Dark green: Infections are declining\n\n\n\nThe accuracy of *Rt *can be temporarily affected by changes in how many people with infections go to EDs, for example a new variant or strain emerges that causes more severe disease, and by changes in testing or reporting practices. The data used to estimate *Rt *are updated frequently, and initially reported counts might later be revised. The data are manually reviewed each week, and extreme or unexpected values that appear unreliable are not included.\n\n\n\n*Rt is* not estimated for states in the following cases:\n\n\n - Jurisdictions with low ED facility participation or where diagnosis information is incomplete\n - Fewer than 10 ED visits for the disease were reported in the prior 2 weeks\n - Anomalies were detected in reported values\n - The model did not pass checks for reliability\n\n\n\nFor additional methods: [Behind the Model: CDC's Tools to Assess Epidemic Trends | CFA: Behind the Model | CDC](https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Explore source data\n\n\n - [State Map of Outpatient Respiratory Illness Activity](https://gis.cdc.gov/grasp/fluview/main.html)\n - [Outpatient Illness and Viral Surveillance](https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html)\n - [COVID-19 Testing, Hospitalization, and Death Trends](https://covid.cdc.gov/covid-data-tracker/#[REDACTED])\n - [Weekly U.S. Influenza Surveillance Report](https://www.cdc.gov/fluview/index.html)\n - [Current Wastewater Viral Activity Level](https://www.cdc.gov/nwss/index.html)\n\n\n\n\n\n\n\n\n\n\n\n## On This Page\n\n\n\n\n - [Summary](#cdc_data_surveillance_section_1-summary)\n - [Level of respiratory virus activity](#cdc_data_surveillance_section_2-level-of-respiratory-virus-activity)\n - [Percent positive tests for respiratory viruses](#cdc_data_surveillance_section_6-percent-positive-tests-for-respiratory-viruses)\n - [Community viral activity level](#cdc_data_surveillance_section_3-community-viral-activity-level)\n - [ED visits for viral respiratory illness](#cdc_data_surveillance_section_4-ed-visits-for-viral-respiratory-illness)\n - [Epidemic trends](#cdc_data_surveillance_section_5-epidemic-trends)\n - [Data notes](#cdc_data_surveillance_section_7-data-notes)\n - [Explore source data](#cdc_data_surveillance_section_8-explore-source-data)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Sept. 11, 2026\n\n\n\n\n\n [Sources and Page Info](#content-sources) [Print](#print) [Share](#share)\n\n # # # #\n\n\n\n\n\n\n\n [Facebook](https://www.facebook.com/) [LinkedIn](https://www.linkedin.com/) [Twitter](https://twitter.com/) [Syndicate](https://tools.cdc.gov/medialibrary/index.aspx#[REDACTED])\n\n\n\n\n\n\n\n\n\nContent Source\n\n [National Center for Immunization and Respiratory Diseases (NCIRD)](/ncird/index.html)\n\n\n\n About This Page\n\n\n\n Published: August 14, 2026\n\n\n\n Updated: September 11, 2026\n\nThis page was last updated on this date. Updates may include minor edits, image changes, or other modifications to page content.\n\n\n\n\n\n Reviewed: September 11, 2026\n\nThe information on this page was last reviewed by subject matter experts to ensure accuracy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## [** Respiratory Illnesses **](/respiratory-viruses/index.html)\n\n\n\nRespiratory illnesses affect the lungs and airways. 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{"dispatch_id": "toolu_01PmaV577weKgbUAiYjNotDY", "elapsed": 0.050288806, "error": "", "result": {"content": "Severe Viral Respiratory Illness | Respiratory Illnesses | CDC\n\n [Skip directly to site content](#content) [Skip directly to search](#cdc-search__input)\n\n\n\n\n\n\n\n\n\n\n\n\n\n  An official website of the United States government\n\n [Here's how you know](#gov-notice)\n\n\n\n\n\n\n\n \n\n **Official websites use .gov**\n\nA **.gov** website belongs to an official government organization in the United States.\n\n\n\n\n\n\n\n \n\n **Secure .gov websites use HTTPS**\n\nA **lock** ( ** ) or **https://** means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n Explore This Topic\n\n Search\n\n Search Clear Search\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [For Everyone](/respiratory-viruses/index.html)\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View all](/respiratory-viruses/site.html#gen)\n\n\n\n\n\n\n\n\n\n [Health Care Providers](/respiratory-viruses/hcp/index.html)\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View all](/respiratory-viruses/site.html#hcp)\n\n\n\n\n\n\n\n\n\n [Public Health](/respiratory-viruses/site.html#php)\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View all](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n ** Related Topics: **\n\n\n\n [COVID-19](/covid/index.html) | [Seasonal Flu](/flu/index.html) | [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov)\n\n *search*\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html) Menu **\n\n\n\n\n\n\n\n clear **search\n\n\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n - [View All](/respiratory-viruses/site.html#gen) [Home](/respiratory-viruses/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Health Care Providers\n\n\n\n\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n - [View All](/respiratory-viruses/site.html#hcp) [Home](/respiratory-viruses/hcp/index.html)\n\n\n\n\n\n\n\n\n\n\n\n Public Health\n\n\n\n\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n - [View All](/respiratory-viruses/site.html#php)\n\n\n\n\n\n\n\n\n\n\n\n Related Topics\n\n\n\n\n\n\n - [COVID-19](/covid/index.html)\n - [Seasonal Flu](/flu/index.html)\n - [Respiratory Syncytial Virus (RSV)](/rsv/index.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Respiratory Illnesses](/respiratory-viruses/index.html)\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n [About](/respiratory-viruses/about/index.html) [Risk Factors](/respiratory-viruses/risk-factors/index.html) [Prevention](/respiratory-viruses/prevention/index.html) [Treatment](/respiratory-viruses/treatment/index.html) [Caring for Yourself](/respiratory-viruses/immune-health/index.html) [Data and Trends](/respiratory-viruses/data/index.html) [Communication Resources](/respiratory-viruses/communication-resources/index.html) View Menu\n\n\n\n\n\n\n\n\n\n\n\n# Severe Viral Respiratory Illness\n\n\n\n\n\n\n\n\n\n For Everyone\n\n\n\n Sept. 11, 2026\n\n\n\n [Español](/respiratory-viruses/es/data/gravedad.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## At a glance\n\n\n\n\n\n\n - See how severe respiratory illnesses are by reviewing the latest data on hospitalizations and deaths caused by respiratory viruses.\n - Understand how illness severity is changing by tracking trends in your state and nationwide.\n - Discover why these numbers matter; understanding the impact helps you make informed decisions to protect yourself and your family.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Summary\n\n\n\n\n\n\n\n\n\n## Hospitalization numbers\n\n\n\nThis website displays two sources of hospitalization data. The first source is the [CDC's National Healthcare Safety Network](https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html) (NHSN) and the second is [CDC's Respiratory Virus Hospitalization Surveillance Network](/resp-net/dashboard/index.html) (RESP-NET).\n\n\n\n### Hospital admission levels\n\n\n\nCDC monitors the number of hospital admissions for [COVID-19](/covid/index.html), [influenza](/flu/index.html) (flu), and [RSV](/rsv/index.html). The color bar at the top of the map shows the hospitalization level associated with each color. **Click on the tab for COVID-19, influenza, or RSV to see the levels for each disease. Hover over a state to see the levels and additional details**. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more information about data sources.\n\n\n\n### Hospitalization rates reported by hospitals\n\n\n\nCDC tracks the weekly hospitalization rate of respiratory virus-associated hospitalizations per 100,000 people reported to [CDC's National Healthcare Safety Network](https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html) (NHSN). Forecasts of future emergency department visits and hospital admissions are available for [COVID-19](https://www.cdc.gov/cfa-modeling-and-forecasting/covid19-data-vis/index.html?tab=%5BREDACTED%5D), [influenza](https://www.cdc.gov/flu-forecasting/data-vis/current-week.html), and [RSV](https://www.cdc.gov/cfa-modeling-and-forecasting/rsv-data-vis/index.html?tab=%5BREDACTED%5D).\n\n\n\n**Click the drop down at the top of the chart to select the geographic area you are interested in.** **You can move your mouse over the graph to view additional details.** Information about each respiratory illness is in a different color. *Open circles indicate fewer than 80% of hospitals in that area have reported illness numbers.*\n\n\n\nPreliminary data are shaded in gray. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more information about data sources.\n\n\n\n\n\n### Hospitalization rates from a network of hospitals\n\n\n\nBelow, you'll find the weekly hospitalization rates of respiratory virus-associated hospitalizations per 100,000 people from [RESP-NET](/resp-net/dashboard/).\n\n\n\n**Click the box at the top of the chart** to see information about different states or territories. Information about each respiratory illness is in a different color. **Move your mouse over the chart and more information for each week will appear**. Because reporting may be delayed, models estimate what rates would be if all data were complete. Modeled median estimates are shown with dashed lines. Refer to [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All) for more about data sources.\n\n\n\n\n\n\n\n\n\n\n\n## Viral respiratory deaths in the United States\n\n\n\nThe chart below shows the weekly percentages of total deaths associated with COVID-19, influenza (flu), and RSV. Each respiratory illness is in a different color. **Move your mouse over the chart and more information for each week will appear.** Data from some recent weeks may be incomplete because of reporting delays; these weeks are shaded gray. For more information about the data source, refer to the [data notes](/respiratory-viruses/data/illness-severity.html#:~:text=Skipped%20data%20table.-,Data%20notes,-Expand%20All).\n\n\n\n\n\n\n\n\n\n## Data notes\n\n\n\n\n\n\n\n\n\n### Hospitalization rates: NHSN\n\n\n\n\n\n\n - **SOURCE: **National Healthcare Safety Network (NHSN)\n\n\n - **Data source description**: As of November 1, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are required to be reported to HHS through CDC's NHSN based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about [reporting to NHSN](/nhsn/psc/hospital-respiratory-reporting.html).\n - **Data quality and timeliness: **CDC reviews reported data for completeness and errors and works with partners to update the data as needed. Data for the most recent two weeks may be affected by potential reporting delays; caution should be taken when interpreting these numbers.\n - **Metrics and inclusion criteria: **Many hospital types, including acute care and critical access hospitals, are included in the hospitalization rate and level calculations displayed on this page. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations. Hospitals that report hospital admissions data for the entire week to NHSN during a given reporting week of Sunday through Saturday, are included in the jurisdiction admissions rate calculations and the accompanying visualizations.\n - **Respiratory virus-associated hospitalization rates** are calculated as the total number of new hospital admissions reported to NHSN for a given reporting week (Sunday – Saturday) divided by the total population for a given geography (per 100,000 people) according to the U.S. Census 2023 population estimates.\n - **Hospital admission levels** are determined based on the respiratory virus-associated hospitalization rates. The map shows the hospital admissions level for states and territories in the United States. This metric indicates whether the amount of people being admitted to the hospital for respiratory illnesses is very low, low, moderate, high, or very high for a given jurisdiction and reporting week (Sunday - Saturday). If you see increased hospital admission levels of COVID-19, flu, or RSV, it might indicate there is a higher risk of infection. For more information on the hospital admissions levels, see [NHSN hospital admissions methodology](/nhsn/psc/hospital-respiratory-reporting/data-methods.html).\n - **Percent of hospitals** **reporting **is calculated based on the number of hospitals reporting complete hospital admissions data (e.g., total admissions for the entire week) to NHSN for a given reporting week out of all hospitals that have reported to the system since the implementation of NHSN Hospital Respiratory Data in November 2024 (excluding the types listed above). Open circles on the time series display and hashed lines on the map display indicate less than 80% of hospitals reported numbers for a given jurisdiction in a reporting week. States or territories without sufficient data (less than 80% of hospitals reporting) are indicated as \"Data unavailable”.\n - The NHSN-based hospital bed occupancy from January 2022 to May 2024 was archived on May 10, 2024; it can be found at [Archived: Hospital Occupancy (cdc.gov)](https://archive.cdc.gov/www_cdc_gov/respiratory-viruses/data-research/dashboard/hospital-occupancy.html)[.](https://archive.cdc.gov/www_cdc_gov/respiratory-viruses/data-research/dashboard/hospital-occupancy.html)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Hospitalization rates: RESP-NET\n\n\n\n\n\n\n - **SOURCE:** Respiratory Virus Hospitalization Surveillance Network (RESP-NET).\n - Combined is the sum of COVID-19, flu, and respiratory syncytial virus (RSV) hospitalization rates.\n - Additional information, including the surveillance catchment area, is available on the [RESP-NET website](/resp-net/dashboard/index.html).\n - Hospitalization rates are calculated using the National Center for Health Statistics (NCHS) vintage bridged-race postcensal population estimates (for March–September 2020) or the U.S. Census vintage unbridged-race postcensal population estimates (for October 2020–present) for the counties or county equivalents included in the surveillance area.\n - RESP-NET surveillance for COVID-19 and RSV have been conducted year-round since 2020.\n - FluSurv-NET surveillance was traditionally conducted from October 1 through April 30 of the following year; however, starting with the 2025-26 season it will be conducted year-round.\n - Rates are likely to underestimate the impact of COVID-19, flu, and RSV on hospitalizations because of undertesting, differing provider or facility testing practices, and diagnostic test sensitivity. Rates presented do not adjust for testing practices which may differ by pathogen, age, race and ethnicity, and other demographic criteria.\n - The data points for the 3 most recent weeks of data represent estimates of the RESP-NET hospitalization rates, called \"[nowcasts](https://www.cdc.gov/cfa-behind-the-model/php/data-research/nowcasting.html),\" which are model-based estimates that account for delayed reporting of recent hospitalizations to estimate the RESP-NET rates from the partial data received so far. Observed data values, estimated ranges, and additional details about the model estimation are available on the [RESP-NET website](/resp-net/dashboard/index.html).\n - Because population estimates for ages 0–1 year are not available in smaller groupings, we split that number in two to estimate the populations for children younger than 6 months and for children 6 to less than 12 months.\n - Black, White, American Indian/Alaska Native, and Asian/Pacific Islander people were categorized as non-Hispanic; Hispanic people could be of any race. If Hispanic ethnicity was unknown, non-Hispanic ethnicity was assumed. Rates presented by race and ethnicity are calculated using records with known races. Those with missing or unknown race are excluded from race-specific estimates but are included in overall estimates.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Viral respiratory deaths\n\n\n\n\n\n\n - **SOURCE:** Provisional Deaths from the CDC's National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS). Accessed from [CDC Wonder](https://wonder.cdc.gov/mcd-icd10-provisional.html).\n - Provisional data are non-final counts of deaths based on mortality data in NVSS. Data during recent periods are incomplete because of the gap in time between when a death occurs and when a death certificate is completed, submitted to NCHS, and processed for reporting. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction.\n - Definitions: When a person dies, the underlying and contributing causes are recorded in the form of ICD-10 codes. Cause-specific death counts are defined as those deaths with the designated ICD-10. In this case, the ICD-10 code definitions are as follows: COVID-19 (U07.1), flu (J09-J11), RSV (J12.1, J20.5, J21.0).\n - The death certificate data presented here provide a timely understanding of trends in deaths associated with each condition. However, it has been long recognized that only counting deaths where flu was recorded on death certificates would [underestimate flu's overall impact on mortality](/flu-burden/php/about/how-cdc-estimates.html). Flu can lead to death from other causes, such as pneumonia and congestive heart failure; however, it may not be listed on the death certificate as a contributing cause for multiple reasons, including a lack of testing. Therefore, CDC has an established history of using models to [estimate influenza-associated death totals](/flu-burden/php/data-vis/). In the fall of 2024, CDC released [COVID-19](/covid/php/surveillance/burden-estimates.html) and [RSV](https://www.cdc.gov/rsv/php/surveillance/burden-estimates.html) estimated death totals.\n - Death data are displayed by date of death. Death data reported are based on the total number of deaths received and coded in a certain time period and may not represent all deaths that occurred in that period. Death counts are updated as additional data are received.\n - Percent of deaths is not presented for weeks where death counts are between 1-9 in accordance with NCHS data confidentiality standards.\n - Provisional death data represent deaths among U.S. residents and occurring in the 50 states, plus the District of Columbia. Assignment to a geographic area is based on the place of residence listed on the death certificate.\n - The percentage of all reported deaths that are attributed as COVID-19, flu, and RSV is calculated as the number of COVID-19, flu, and RSV deaths divided by the number of deaths from all causes multiplied by 100. The percentage of deaths is less affected by incomplete reporting in recent weeks because death certificate data from natural causes of death and all causes have similar timeliness.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Explore source data\n\n\n - [RESP-NET Respiratory Virus Hospitalizations Dashboard](/resp-net/dashboard/index.html)\n - [NHSN Hospital Respiratory Data Dashboard](/nhsn/psc/hospital-respiratory-dashboard.html)\n - [Influenza Hospitalizations Dashboards](https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html)\n - [RSV Hospitalizations Dashboard](/rsv/php/surveillance/rsv-net.html)\n - [Estimates of COVID-19 Burden](/covid/php/surveillance/burden-estimates.html)\n - [COVID-19 Death Data](/nchs/nvss/vsrr/COVID19/index.htm)\n\n\n\n\n\n\n\n\n\n\n\n## On This Page\n\n\n\n\n - [Summary](#cdc_data_surveillance_section_1-summary)\n - [Hospitalization numbers](#cdc_data_surveillance_section_2-hospitalization-numbers)\n - [Viral respiratory deaths in the United States](#cdc_data_surveillance_section_3-viral-respiratory-deaths-in-the-united-states)\n - [Data notes](#cdc_data_surveillance_section_4-data-notes)\n - [Explore source data](#cdc_data_surveillance_section_5-explore-source-data)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Sept. 11, 2026\n\n\n\n\n\n [Sources and Page Info](#content-sources) [Print](#print) [Share](#share)\n\n # # # #\n\n\n\n\n\n\n\n [Facebook](https://www.facebook.com/) [LinkedIn](https://www.linkedin.com/) [Twitter](https://twitter.com/) [Syndicate](https://tools.cdc.gov/medialibrary/index.aspx#[REDACTED])\n\n\n\n\n\n\n\n\n\nContent Source\n\n [National Center for Immunization and Respiratory Diseases (NCIRD)](/ncird/index.html)\n\n\n\n About This Page\n\n\n\n Published: April 24, 2026\n\n\n\n Updated: September 11, 2026\n\nThis page was last updated on this date. Updates may include minor edits, image changes, or other modifications to page content.\n\n\n\n\n\n Reviewed: September 11, 2026\n\nThe information on this page was last reviewed by subject matter experts to ensure accuracy.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## [** Respiratory Illnesses **](/respiratory-viruses/index.html)\n\n\n\nRespiratory illnesses affect the lungs and airways. Get information on common causes, prevention actions, and current levels of illness in your community.\n\n [View All](/respiratory-viruses/site.html)\n\n\n\n\n\n\n\n\n\n### [For Everyone](/respiratory-viruses/index.html#gen)\n\n\n - [About](/respiratory-viruses/about/index.html)\n - [Risk Factors](/respiratory-viruses/risk-factors/index.html)\n - [Prevention](/respiratory-viruses/prevention/index.html)\n - [Treatment](/respiratory-viruses/treatment/index.html)\n - [Caring for Yourself](/respiratory-viruses/immune-health/index.html)\n - [Data and Trends](/respiratory-viruses/data/index.html)\n - [Communication Resources](/respiratory-viruses/communication-resources/index.html)\n\n\n\n\n\n\n\n\n\n### [Health Care Providers](/respiratory-viruses/hcp/index.html#hcp)\n\n\n - [Clinical Overview](/respiratory-viruses/hcp/clinical-overview/index.html)\n - [Talking with Patients](/respiratory-viruses/hcp/conversation-tips/index.html)\n\n\n\n\n\n\n\n### [Public Health](/respiratory-viruses/site.html#php)\n\n\n - [Communication Toolkit](/respiratory-viruses/php/toolkit/index.html)\n\n\n\n\n\n\n\n\n\n\n\n ** [Sign up for Email Updates](https://tools.cdc.gov/campaignproxyservice/subscriptions.aspx#[REDACTED]) **\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [Contact Us](#contactUs)\n\n\n\n [Contact Us](https://www.cdc.gov/cdc-info/index.html)\n - [Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n\n\n [About CDC](#aboutCDC)\n\n\n\n [About CDC](https://www.cdc.gov/about/)\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n\n\n\n\n\n [Policies](#policies)\n\n\n\n\n\n\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n\n\n\n\n - [FOIA](https://www.cdc.gov/foia/)\n - [OIG](https://oig.hhs.gov/)\n - [No Fear Act](https://www.cdc.gov/oeeowe/no-fear-act/)\n - [Nondiscrimination](https://www.cdc.gov/other/nondiscrimination.html)\n - [Vulnerability Disclosure Policy](https://www.hhs.gov/vulnerability-disclosure-policy/index.html)\n\n\n\n\n\n\n\n\n\n [Languages](#languages)\n\n\n\n\n\n\n\n [Languages](https://www.cdc.gov/other/other-languages/index.html)\n - [Español](https://www.cdc.gov/spanish/)\n\n\n\n\n\n [Language Assistance](https://www.cdc.gov/other/language-assistance.html)\n\n\n\n\n - [Español](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [繁體中文](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tiếng Việt](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [한국어](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n\n\n\n - [Tagalog](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Русский](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - 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[Call 800-232-4636](tel:800-232-4636)\n - [Contact CDC](https://www.cdc.gov/cdc-info/index.html)\n\n\n\n [About CDC](#mobile-footer-aboutCDC)\n\n\n - [Pressroom](https://www.cdc.gov/media/)\n - [Organization](https://www.cdc.gov/about/organization/)\n - [Budget & Funding](https://www.cdc.gov/budget/)\n - [Careers & Jobs](https://jobs.cdc.gov/index.html)\n - [About CDC](https://www.cdc.gov/about/)\n\n\n\n [Policies](#mobile-footer-policies)\n\n\n - [Accessibility](https://www.cdc.gov/other/accessibility.html)\n - [External Links](https://www.cdc.gov/Other/disclaimer.html#[REDACTED])\n - [Privacy](https://www.cdc.gov/other/privacy.html)\n - [Web Policies](https://www.cdc.gov/Other/policies.html)\n\n\n - [FOIA](https://www.cdc.gov/foia/)\n - [OIG](https://oig.hhs.gov/)\n - [No Fear Act](https://www.cdc.gov/oeeowe/no-fear-act/)\n - [Nondiscrimination](https://www.cdc.gov/other/nondiscrimination.html)\n - [Vulnerability Disclosure Policy](https://www.hhs.gov/vulnerability-disclosure-policy/index.html)\n\n\n\n [Languages](#mobile-footer-languages)\n\n\n\nLanguages\n\n\n - [Español](https://www.cdc.gov/spanish/)\n\n\n\nLanguage Assistance\n\n\n - [Español](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [繁體中文](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tiếng Việt](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [한국어](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Tagalog](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Русский](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [العربية](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Kreyòl Ayisyen](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Français](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Polski](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Português](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Italiano](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [Deutsch](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [日本語](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [فارسی](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n - [English](https://www.cdc.gov/other/language-assistance.html#[REDACTED])\n\n\n\n [Archive](#mobile-footer-archive)\n\n\n - [CDC Archive](https://archive.cdc.gov/)\n - [Public Health Publications](https://stacks.cdc.gov/)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n [](https://www.cdc.gov/)\n\n\n\n\n\n [**](https://www.facebook.com/CDC) [**](https://twitter.com/CDCgov) [**](https://www.instagram.com/CDCgov) [**](https://www.linkedin.com/company/centers-for-disease-control-and-prevention)\n\n\n\n [**](https://www.youtube.com/cdc) [**](https://www.pinterest.com/cdcgov) [**](https://www.snapchat.com/add/cdcgov) [**](https://www.cdc.gov/rss)\n\n\n\n\n\n\n\n\n\n\n\n [HHS.gov](https://hhs.gov) [USA.gov](https://usa.gov)\n\n\n\n\n\n\n\n\n\n\n\n **", "content_length": 26683, "content_type": "text/html", "description": "Data on how respiratory viruses are contributing to serious health outcomes", "status_code": 200, "success": true, "title": "Severe Viral Respiratory Illness | Respiratory Illnesses | CDC", "url": "https://www.cdc.gov/respiratory-viruses/data/illness-severity.html"}, "status": "completed", "tool_name": "web_fetch"}
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These data include percent of tests positive values for the detection of severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19 and Respiratory syncytial virus (RSV) reported to the National Respiratory and Enteric Virus Surveillance System (NREVSS), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories; additional information available at: https://www.cdc.gov/surveillance/nrevss/index.html. Influenza results include clinical laboratory test results from NREVSS and influenza collaborating laboratories; more details about influenza virologic surveillance are available here: https://www.cdc.gov/flu/weekly/overview.html. \\n\\nData represent calculations based on laboratory tests performed, not individual people tested. RSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain reaction tests (PCR). Participating laboratories report weekly to CDC the total number of SARS-CoV-2 and RSV tests performed that week and the number of those tests that were positive. \\n\\nAll data are provisional and subject to change.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"Nrevss@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:19.000Z\",\n \"createdAt\" : \"2023-11-08T23:35:24.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:18.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:19.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 408,\n \"page_views_last_month\" : 2640,\n \"page_views_total\" : 17546,\n \"page_views_last_week_log\" : 8.67595703294175,\n \"page_views_last_month_log\" : 11.366868586167094,\n \"page_views_total_log\" : 14.098936774461816\n },\n \"columns_name\" :\n [ \"pathogen\", \"percent_test_positivity\", \"week_end\" ],\n \"columns_field_name\" :\n [ \"pathogen\", \"percent_test_positivity\", \"week_end\" ],\n \"columns_datatype\" : [ \"Text\", \"Number\", \"Calendar date\" ],\n \"columns_description\" :\n [\n \"[Influenza, COVID-19, RSV] \",\n \"Percent of tests positive for pathogen \",\n \"Date of Saturday of the MMWR week. \"\n ],\n \"columns_format\" :\n [\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"view\" : \"iso_8601_date_utc\" }\n ],\n \"download_count\" : 5598,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-08T23:40:55.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"covid19\",\n \"flu\",\n \"influenza\",\n \"ncird\",\n \"ncird-corvd\",\n \"ncird-id\",\n \"rsv\",\n \"coronavirus\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"Nrevss@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Geographic-Coverage\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W \" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"NREVSS\" },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"Nrevss@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W \"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Contact-Name\", \"value\" : \"NREVSS\" }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/seuz-s2cv\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Percent-of-Tests-Positive-for-Viral-Respiratory-Pa/seuz-s2cv\",\n \"owner\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Weekly Respiratory Pathogens and Vaccination (RPV) Metrics for Nursing Home Residents by Jurisdiction, National Healthcare Safety Network (NHSN)\",\n \"id\" : \"tscn-ryh9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"This dataset represents weekly respiratory pathogens and vaccination data for nursing home residents, as they were reported to CDC’s National Health Safety Network (NHSN). The data are aggregated to national and state/territory levels. As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, influenza, and respiratory syncytial [RSV]) on a single data collection form. The Centers for Medicare and Medicaid Services (CMS) required the submission of COVID-19 data beginning September 30, 2024, concurrently nursing homes were permitted to voluntarily submit influenza and RSV data. Beginning January 1, 2025, CMS requires nursing homes to report weekly data for all three respiratory pathogens among residents. Data included in this dataset represent aggregated counts capturing information specific to cases, hospitalizations, and vaccination for COVID-19, influenza, and RSV among residents during a given week of data collection. \\n\\nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=\\\"https://www.federalregister.gov/documents/2024/11/07/2024-25441/medicare-program-calendar-year-cy-2025-home-health-prospective-payment-system-hh-pps-rate-update-hh\\\">Federal Register :: Medicare Program; Calendar Year (CY) 2025 Home Health Prospective Payment System (HH PPS) Rate Update; HH Quality Reporting Program Requirements; HH Value-Based Purchasing Expanded Model Requirements; Home Intravenous Immune Globulin (IVIG) Items and Services Rate Update; and Other Medicare Policies</a>.\\n\\nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html \\n\\n<b>Source: CDC National Healthcare Safety Network (NHSN). </b>\\n<ul><li><b>Data source description:</b> As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, Influenza, and RSV) on a single data collection form. An NHSN surveillance week is defined as beginning on a Monday and ending on a Sunday. Only CMS-certified nursing homes indicated as active reporters in NHSN are included in the dataset. Due to differing CMS reporting requirements for COVID-19, Influenza, and RSV, the data presented in this dataset are as follows: </li><ul><li><b>For surveillance weeks October 6, 2024 to December 29, 2024,</b> the reported COVID-19 data reflects submissions made during a mandated reporting period and is available in the dataset. Only facilities that have submitted complete COVID-19 data for these surveillance weeks are included in the dataset. In the absence of a reporting mandate for Influenza and RSV data during this period, these data were submitted voluntarily and are not included in the dataset. As a result, the value associated with the number of reporting facilities corresponds to those that submitted complete COVID-19 data for the given week of data collection.\\n</li><li>As of January 1, 2025, an updated CMS reporting requirement mandated the weekly submission of COVID-19, Influenza, and RSV data to NHSN. This requirement took effect on a Wednesday, which is halfway through the NHSN-defined surveillance week (Monday – Sunday). To ensure reporting consistency, Influenza and RSV reporting remained voluntary in NHSN <b>for surveillance week January 5, 2025.</b> As a result, Influenza and RSV data are not included in the dataset for this week of data collection. Only facilities that submitted complete COVID-19 data for this surveillance week are included in the dataset, with the reported facility count reflecting those submissions. \\n</li><li><b>For surveillance weeks January 12, 2025 to the present,</b>\",\n \"attribution\" : \"CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)\",\n \"attribution_link\" : \"https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html\",\n \"contact_email\" : \"nhsn@cdc.gov (subject line: Respiratory Pathogens and Vaccination Data)\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-10T15:36:42.000Z\",\n \"createdAt\" : \"2025-04-21T13:41:20.000Z\",\n \"metadata_updated_at\" : \"2026-09-10T15:36:42.000Z\",\n \"data_updated_at\" : \"2026-08-24T13:20:27.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 40,\n \"page_views_last_month\" : 324,\n \"page_views_total\" : 1770,\n \"page_views_last_week_log\" : 5.357552004618084,\n 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\"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"nursing homes\",\n \"nursing home residents\",\n \"long-term care\",\n \"influenza\",\n \"hospitalizations\",\n \"cases\",\n \"vaccinations\",\n \"skilled nursing homes\",\n \"rsv\",\n \"flu\",\n \"covid-19\",\n \"coronavirus\",\n \"respiratory syncytial virus\",\n \"positive tests\",\n \"respiratory\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nhsn@cdc.gov (subject line: Respiratory Pathogens and Vaccination Data)\"\n },\n { \"key\" : \"Common-Core_Collection\", \"value\" : \"N/A \" },\n { \"key\" : \"Common-Core_IsQualityData\", \"value\" : \"N/A \" },\n { \"key\" : \"Common-Core_System-of-Records\", \"value\" : \"N/A \" },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:020\" },\n { \"key\" : \"Common-Core_Described-By\", \"value\" : \"N/A\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2024-10-06 – Present \"\n },\n { \"key\" : \"Common-Core_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core_References\",\n \"value\" : \"NHSN Long-Term Care Respiratory Pathogens and Vaccination (RPV) Reporting: https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html NHSN Nursing Home Data Dashboard: https://www.cdc.gov/nhsn/ltc/ltc-report-overview.html Centers for Medicare and Medicaid Services (CMS) requirements: https://www.federalregister.gov/documents/2024/11/07/2024-25441/medicare-program-calendar-year-cy-2025-home-health-prospective-payment-system-hh-pps-rate-update-hh\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"Weekly\" },\n { \"key\" : \"Common-Core_Homepage\", \"value\" : \"N/A\" },\n {\n 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\"DHQP\" }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/tscn-ryh9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Weekly-Respiratory-Pathogens-and-Vaccination-RPV-M/tscn-ryh9\",\n \"owner\" :\n {\n \"id\" : \"t8bk-eydi\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Emily Wong\"\n },\n \"creator\" :\n {\n \"id\" : \"t8bk-eydi\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Emily Wong\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard\",\n \"id\" : \"rgnm-fkqb\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"More than 450 public health and clinical laboratories located throughout the United States participate in laboratory-based surveillance through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS) for respiratory adenovirus, common human coronaviruses (HCOV), human metapneumovirus (HMPV), influenza, parainfluenza viruses (PIV), rhinoviruses/enteroviruses (RV/EV), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. The dataset contains aggregate counts of the total tests performed for these viruses and positive detections reported to NREVSS since July 2019. Data from all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands are included. These data are reported weekly on a voluntary basis. Laboratories do not report demographic data through NREVSS. Testing practices vary, and the number of participating laboratories changes from year to year. All data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. Data can be updated for up to 2 years after the initial reporting week. Discrepancies may be noted and updated at the discretion of the NREVSS data stewards and key stakeholders.\\n\\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system. NREVSS does not collect patient-specific demographic information, clinical data, or outcomes (e.g., hospitalization or death). Multiple specimens may be collected from a single patient, so NREVSS results reflect the number of tests performed rather than the number of patients tested.\\n\\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive specimens from sites across a given state or even from multiple states. NREVSS cannot be used to determine the prevalence or incidence of infection. NREVSS counts reflect the latest data reported from participating laboratories and may not match data presented by various jurisdictions.\\nThe national and regional NREVSS data described here are available, beginning from July 6, 2019. Data are also visualized on the NREVSS dashboard at the following URL: https://www.cdc.gov/nrevss/php/dashboard/index.html\\n\\nFor more information on NREVSS and COVID-19 surveillance please visit https://www.cdc.gov/nrevss/php/dashboard/index.html and https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data. \\nThe regional RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data\\nrepresent averaged values that CDC calculates from testing reports. These average estimates differ from the raw regional RSV laboratory data displayed on the CDC dashboard. The national RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data are the same values included in the dashboard.\\n\\nData for all NREVSS pathogens are reported at the national and HHS regional levels. The prior two years of state level data are shared for RSV and SARS-CoV-2. Data for all influenza clinical laboratories and public health laboratories (the U.S. Influenza collaborating laboratories [ICL]) are shared through the influenza virologic surveillance and are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=%5BREDACTED%5D. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html.\\n\\nAdenovirus, HCOV, HMPV, PIV, RSV, RV/EV and SARS-COV-2 data include only nucleic acid amplification test (NAAT) results, which include reverse transcription-polymerase chain reaction (RT-PCR) test results\",\n \"attribution\" : \"CDC\",\n \"attribution_link\" : \"https://www.cdc.gov/nrevss/php/dashboard/index.html\",\n \"contact_email\" : \"nrevss@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T19:57:48.000Z\",\n \"createdAt\" : \"2025-11-28T21:06:18.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T19:57:38.000Z\",\n \"data_updated_at\" : \"2026-09-11T19:57:48.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 352,\n \"page_views_last_month\" : 2007,\n \"page_views_total\" : 9202,\n \"page_views_last_week_log\" : 8.46352437327118,\n \"page_views_last_month_log\" : 10.971543553950772,\n \"page_views_total_log\" : 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\"key\" : \"Common-Core-3_Language\", \"value\" : \"English\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"Weekly\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Status\", \"value\" : \"Completed\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Surveillance and Analytics Team\"\n },\n {\n \"key\" : \"Data-Quality_Footnotes\",\n \"value\" : \"Adenovirus: Adenovirus detections reported to NREVSS from respiratory specimen testing (for example, nasopharyngeal swabs). There are over 100 adenovirus types. Most commercial laboratory tests do not distinguish type without further identification. HMPV: Human metapneumovirus types A and B are not reported separately by laboratories participating in NREVSS. HCOV: Human coronavirus types HKU1, OC43, 229E, and NL63 are individually reported and summarized in aggregate under “Combined Type”. At the HHS regional level only percentage positivity is reported. PIV: Parainfluenza virus types 1 through 4 are individually reported and summarized in aggregate under “Combined Type”. At the HHS regional level only percentage positivity is reported. RV/EV: Most diagnostic assays are not able to distinguish rhinoviruses from enteroviruses and have a combined single target for both viruses. Therefore, RV/EV results are reported in a combined category via NREVSS. RSV: Respiratory syncytial virus types A and B are reported but not shown separately in this dataset. State-level data are only included when two or more labs report RSV RT-PCR testing data for at least 36 of the prior 52 weeks with an average of 10 tests per week. If data for a state are unavailable, we recommend reviewing the trends of the HHS Region level that contains the state of interest. SARS-COV-2: Severe acute respiratory syndrome coronavirus 2. State level data are only included when two or more labs report SARS-COV-2 testing data for at least 30 of the previous 52 weeks with an average of 10 tests per week. If data for a state are unavailable, we recommend reviewing the trends of the HHS Region level that contains the state of interest. Influenza viruses: Data displayed on the dashboard are provided by clinical and public health laboratories and shared through the influenza virologic surveillance system. Flu data are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=%5BREDACTED%5D. To protect confidentiality, detections between 1–4 (and their corresponding test counts) are suppressed and shown as “*”. The data that are unavailable are shown as “.”. \"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention. 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There was at least one site in each of the 10 Health and Human Services (HHS) regions. RESP-LENS collected reports of emergency department (ED) visits for acute respiratory illness (ARI) and corresponding viral testing results for SARS-CoV-2 (the virus that causes COVID-19), influenza (flu), and respiratory syncytial virus (RSV). Sites reported data for an average of approximately 77,000 ED visits weekly, of which 11,000 were associated with ARI and 4,000 of those were in children younger than 18 years. Between May 2023 and August 2024, these data were posted to CDC's RESP-LENS public dashboard, showing number tested, number positive, and percent positive for each of the three viruses mentioned, by virus, region, and age group. Due to budget constraints, RESP-LENS was not funded beyond the end of the 2024 fiscal year. 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data from last 5 weeks of 2023-24 season not available)\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"24 sites/health systems with a total of >100 participating hospitals located in 20 states and the District of Columbia\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"Never\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"RESP-LENS\" },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"acp4@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"24 sites/health systems with a total of >100 participating hospitals located in 20 states and the District of Columbia\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-23 and 2023-24 respiratory illness seasons (2 October 2022 through 31 August 2024; data from last 5 weeks of 2023-24 season not available)\"\n },\n { \"key\" : \"Common-Core-3_Publisher\", \"value\" : \"CDC\" },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"Never\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"RESP-LENS\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/ch5i-63ve\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/RESP-LENS/ch5i-63ve\",\n \"owner\" :\n {\n \"id\" : \"xj4q-gbvc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GRAZIA MIRABITO\"\n },\n \"creator\" :\n {\n \"id\" : \"xj4q-gbvc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GRAZIA MIRABITO\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Pathogen Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 12 Month Rolling Period\",\n \"id\" : \"r229-z6ma\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Percent positivity of 9 viral pathogens, and enrollment counts of children with ARI by week for the past 12 months (rolling x-axis).\",\n \"attribution\" : \"CDC Coronaviruses and Other Respiratory Viruses Division (CORVD), Surveillance and Prevention Branch (SPB), New Vaccine Surveillance Network (NVSN)\",\n \"attribution_link\" : null,\n \"contact_email\" : \"cdcinfo@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:00:07.000Z\",\n \"createdAt\" : \"2023-12-08T19:20:39.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:00:07.000Z\",\n \"data_updated_at\" : \"2026-09-09T12:43:25.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 114,\n \"page_views_last_month\" : 653,\n \"page_views_total\" : 3811,\n \"page_views_last_week_log\" : 6.845490050944376,\n \"page_views_last_month_log\" : 9.353146825498083,\n \"page_views_total_log\" : 11.896332403909943\n },\n \"columns_name\" :\n [\n \"footnote\",\n \"mmwr_week_end\",\n \"n_enrolled\",\n \"mmwr_week\",\n \"pathogen\",\n \"pct_positive\"\n ],\n \"columns_field_name\" :\n [\n \"footnote\",\n \"mmwr_week_end\",\n \"n_enrolled\",\n \"mmwr_week\",\n \"pathogen\",\n \"pct_positive\"\n ],\n \"columns_datatype\" :\n [ \"Text\", \"Calendar date\", \"Number\", \"Text\", \"Text\", \"Number\" ],\n \"columns_description\" :\n [\n \"Text noting instances where percent positivity calculation is based on fewer than 10 patients in the denominator\",\n \"MMWR Week end date (Saturday) [mm/dd/yyy]\",\n \"Count of patients by week, pathogen. Includes those who were deemed eligible, were enrolled in NVSN and received a research test.\",\n \"MMWR week number\",\n \"Pathogen name [ex:RSV]\",\n \"Percent positivity; Percentage of patients* tested positive for pathogen by week and age group. *Includes those who were deemed eligible, were enrolled\"\n ],\n \"columns_format\" :\n [\n {},\n { \"view\" : \"date\", \"align\" : \"left\" },\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" }\n ],\n \"download_count\" : 1092,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2024-02-28T16:41:51.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"rsv\",\n \"viral detections\",\n \"evd-68\",\n \"human coronaviruses\",\n \"human metapneumovirus\",\n \"covid-19\",\n \"adenovirus\",\n \"influenza\",\n \"medically attended illness\",\n \"ncird-corvd\",\n \"parainfluenza virus\",\n \"pediatric\",\n \"respiratory illness\",\n \"enterovirus\",\n \"rhinovirus\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"cdcinfo@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Collection\", \"value\" : \"Yes\" },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core_Publisher\", \"value\" : \"CDC\" },\n {\n \"key\" : \"Common-Core_Homepage\",\n \"value\" : \"https://www.cdc.gov/surveillance/nvsn/index.html\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core_Contact-Name\", \"value\" : \"CDC-INFO\" },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Coronavirus and Other Respiratory Viruses Division, New Vaccine Surveillance Network, Acute Respiratory Illnesses and Associated Viral Activity (version date: [Month] [Date], [Year])\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"cdcinfo@cdc.gov\"\n },\n {\n \"key\" : \"Common-Core-3_Geographic-Name\",\n \"value\" : \"United States\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n { \"key\" : \"Common-Core-3_Publisher\", \"value\" : \"CDC\" },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n { \"key\" : \"Common-Core-3_Contact-Name\", \"value\" : \"CDC-INFO\" }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/r229-z6ma\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Pathogen-Detections-Among-Enrolled-Children-in-the/r229-z6ma\",\n \"owner\" :\n {\n \"id\" : \"n2qk-w5rg\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NCIRD-CORVD\"\n },\n \"creator\" :\n {\n \"id\" : \"n2qk-w5rg\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"NCIRD-CORVD\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined\",\n \"id\" : \"7mra-9cq9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\\n\\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \\n<br>\\nFor additional information, please see:<a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\\nUpdated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:17:11.000Z\",\n \"createdAt\" : \"2023-11-16T23:24:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:17:11.000Z\",\n \"data_updated_at\" : \"2024-10-18T16:08:04.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 26,\n \"page_views_last_month\" : 146,\n \"page_views_total\" : 3904,\n \"page_views_last_week_log\" : 4.754887502163469,\n \"page_views_last_month_log\" : 7.199672344836364,\n \"page_views_total_log\" : 11.931106833029343\n },\n \"columns_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_field_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_datatype\" :\n [\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\"\n ],\n \"columns_description\" :\n [\n \"[Reporting, Not Reporting]\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\",\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"COVID -19, Influenza, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\",\n \"MMWR week ending on day\",\n \"State, territory, or region.\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\"\n ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 2577,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-16T23:31:34.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"ncird\",\n \"rsv\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"respiratory-syncytial-virus\",\n \"ophdst\",\n \"nssp\",\n \"covid19\",\n \"coronavirus\",\n \"ed\",\n \"emergency-department\",\n \"flu\",\n \"influenza\",\n \"national-syndromic-surveillance-program\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, National, Regional and State Level Trajectory\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"National, Regional, State\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/7mra-9cq9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"CDC Wastewater Data for Influenza A\",\n \"id\" : \"ymmh-divb\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"This dataset provides a complete time history of Influenza A wastewater sample data and calculated metrics from US sampling locations.\\n\\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#[REDACTED] more at: www.cdc.gov/wastewater.\\n\\nThis dataset is updated weekly on Fridays.\",\n \"attribution\" : \"DIDRI/R3SB\",\n \"attribution_link\" : \"https://www.cdc.gov/wastewater\",\n \"contact_email\" : \"NWSS@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T15:03:56.000Z\",\n \"createdAt\" : \"2025-07-30T15:08:14.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T15:02:46.000Z\",\n \"data_updated_at\" : \"2026-09-11T15:03:56.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 79,\n \"page_views_last_month\" : 414,\n \"page_views_total\" : 7450,\n \"page_views_last_week_log\" : 6.321928094887362,\n \"page_views_last_month_log\" : 8.696967526234287,\n \"page_views_total_log\" : 12.86321834758244\n },\n \"columns_name\" :\n [\n \"pcr_target_flowpop_lin\",\n \"pcr_target_avg_conc_lin\",\n \"hum_frac_target_mic\",\n \"hum_frac_mic_conc\",\n \"date_updated\",\n \"rec_eff_spike_conc\",\n \"rec_eff_spike_matrix\",\n \"rec_eff_target_name\",\n \"rec_eff_percent\",\n \"hum_frac_mic_unit\",\n \"lod_sewage\",\n \"pcr_target_units\",\n \"pcr_target_avg_conc\",\n \"pcr_gene_target_agg\",\n \"pcr_target\",\n \"ntc_amplify\",\n \"inhibition_adjust\",\n \"inhibition_detect\",\n \"sample_id\",\n \"population_served\",\n \"counties_served\",\n \"county_fips\",\n \"record_id\",\n \"major_lab_method\",\n \"extraction_method\",\n \"pcr_type\",\n \"pasteurized\",\n \"concentration_method\",\n \"flow_rate\",\n \"sample_location\",\n \"sample_matrix\",\n \"sample_type\",\n \"sample_collect_date\",\n \"source\",\n \"pcr_target_detect\",\n \"state_territory\",\n \"site\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_field_name\" :\n [\n \"pcr_target_flowpop_lin\",\n \"pcr_target_avg_conc_lin\",\n \"hum_frac_target_mic\",\n \"hum_frac_mic_conc\",\n \"date_updated\",\n \"rec_eff_spike_conc\",\n \"rec_eff_spike_matrix\",\n \"rec_eff_target_name\",\n \"rec_eff_percent\",\n \"hum_frac_mic_unit\",\n \"lod_sewage\",\n \"pcr_target_units\",\n \"pcr_target_avg_conc\",\n \"pcr_gene_target_agg\",\n \"pcr_target\",\n \"ntc_amplify\",\n \"inhibition_adjust\",\n \"inhibition_detect\",\n \"sample_id\",\n \"population_served\",\n \"counties_served\",\n \"county_fips\",\n \"record_id\",\n \"major_lab_method\",\n \"extraction_method\",\n \"pcr_type\",\n \"pasteurized\",\n \"concentration_method\",\n \"flow_rate\",\n \"sample_location\",\n \"sample_matrix\",\n \"sample_type\",\n \"sample_collect_date\",\n \"source\",\n \"pcr_target_detect\",\n \"state_territory\",\n \"site\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Calendar date\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\"\n ],\n \"columns_description\" :\n [\n \"Flow-population-normalized PCR target concentration on linear scale; calculated as concentration*flow/population. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Concentration of the PCR target on a per sample amount basis; this is merely 'pcr_target_avg_conc', where all values are on a linear (not log10) concentration basis. The PCR target is defined in the field, 'pcr_target' and its associated target gene in 'pcr_gene_target'.\",\n \"Name of microbial target used to estimate human fecal content\",\n \"Concentration of microbial target specified in 'hum_frac_target_mic'\",\n \"Timestamp of processing run used in posted data. \\\"As of \\\" stamp.\",\n \"Spike concentration, on average, of the recovery control on a per sample volume basis. This value is used to assess the recovery efficiency: \\\"rec_eff_percent\\\".\",\n \"Matrix into which the recovery efficiency control target is spiked to assess recovery efficiency: \\\"rec_eff_percent.\\\" \",\n \"Name of the recovery efficiency control target that is spiked in to the sample process to assess recovery efficiency. The measured concentration of this variable is used to calculate \\\"rec_eff_percent.\\\"\",\n \"Recovery efficiency percent calculates the recovery (or loss) of an exogenous organism (\\\"rec_eff_target_name\\\") from a wastewater sample after it has been fully processed (e.g., concentration and extraction) and measured by molecular detection methods such as PCR. Recovery efficiency percent is calculated by comparing the total measured gene copies in the fully processed sample (e.g., nucleic acid extract) to the measured or theoretical gene copy value of the initial spike-in concentration that was added to the wastewater sample prior to processing (\\\"rec_eff_spike_conc\\\"). “rec_eff_percent” = [((Measured \\\"rec_eff_target_name\\\" gene copies)/(\\\"rec_eff_spike_conc\\\" gene copies)) x 100].\",\n \"Concentration units of microbial target specified in 'hum_frac_target_mic'\",\n \"PCR target limit of detection (LOD) is the lowest analyte concentration that can be reliably detected by a PCR assay. This value is the LOD concentration that has been back-calculated to the PCR target concentration PRIOR to sample concentration to adjust for any concentrations or dilutions performed on samples.\",\n \"Units of PCR target sample concentration\",\n \"Concentration of the PCR target back-calculated to unconcentrated sample basis; value is \\\"0\\\" if no amplification occurred, using the definition of amplification described in 'ntc_amplify'; otherwise, the estimated concentration was entered; does not adjust for matrix recovery efficiency. Only the technical or biological replicate concentrations for the same pcr_gene_target are averaged. \",\n \"The PCR gene used to quantify PCR target. Multiple gene targets may be tested, in which case they would be aggregated to reflect the various targets.\",\n \"The target of the PCR quantification (pathogen or antimicrobial resistance (AMR) groups)\",\n \"A yes/no flag indicating contamination of PCR reagents. No template controls is a negative control to detect contamination of PCR reagents by running reactions with no nucleic acid template added. A \\\"yes\\\" value (any values above the positive threshold) indicates a positive NTC result which suggests reagent contamination and the experiment is no longer valid. \",\n \"A yes/no flag indicating whether inhibitory effects were factored into the PCR target concentration calculation. A “yes” value means that the measured PCR target concentration was adjusted for suppressed signals due to interfering compounds. Incorporating inhibition adjustments prevents underestimation of target levels.\",\n \"A yes/no flag indicating whether molecular inhibition was detected in the assay. A \\\"yes\\\" value means that amplification and detection are suppressed due to interfering substances in the sample, while a \\\"no\\\" value means inhibition was not detected. Detecting inhibition is essential for assessing assay performance and ensuring reliable quantification of target analytes.\",\n \"An anonymized ID assigned to wastewater samples. Wastewater samples for which multiple pathogen PCR targets are measured should have the same sample ID. \",\n \"Estimated number of persons served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location)\",\n \"The county and county-equivalent names corresponding to the FIPS codes in 'county_fips'.\",\n \"5-digit numeric FIPS codes of all counties and county equivalents served by this sampling site (i.e., served by this wastewater treatment plant or, if 'sample_location' is \\\"upstream\\\", then by this upstream location). Note that most jurisdictions are covered by counties, but some are covered by county equivalents, such as independent cities, parishes, or census areas.\",\n \"A unique identifier for each row of data.\",\n \"A number used to distinguish major lab methods at the reporting jurisdiction level. Differences in lab methods may limit the comparability of PCR target concentrations. Reporting jurisdictions should use this field to indicate that lab methods are sufficiently different that caution should be used when comparing PCR target concentrations across them. These differences may result from any lab processing or quantification steps, including different PCR gene targets. Note that 'major_lab_method' may be the same for different laboratories if the reporting jurisdiction believes concentrations measured by those laboratories are comparable; conversely, 'major_lab_method' may be different for the same laboratory if changes made to the laboratory protocol rendered concentrations not comparable. Also note that major lab method is only comparable across reporting site and should not be compared across different sites.\",\n \"Laboratory method used to purify the genetic material (RNA or DNA) of the PCR target by extraction from the sample.\",\n \"The type of PCR (e.g., qPCR, dPCR, ddPCR) used to quantify the PCR target\",\n \"A yes/no flag indicating whether the sample pasteurized or heat treated. \",\n \"Laboratory method used to concentrate (or enrich) the sample prior to analysis of the concentrate. This procedures concentrates pathogen titers from a larger volume of wastewater prior to extraction and molecular detection. \",\n \"Wastewater volumetric flow rate at the sample collection location over the 24-hr period during which the sample was collected. If only an instantaneous flow measurement is available, it may be reported in units of million gallons per day. \",\n \"Sample collection location in the wastewater system, whether at a wastewater treatment plant (or other community level treatment infrastructure such as community-scale septic) or upstream in the wastewater system\",\n \"Wastewater matrix from which the sample was collected. Wastewater matrix is a categorical variable specifying the type of wastewater sample used (e.g., raw influent, primary sludge, settled solids).\",\n \"Type of sample collected, whether grab or composite. If composite, the duration of sampling and type of composite is specified (e.g., \\\"24-hr flow-weighted composite\\\"). 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All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#[REDACTED] more at: www.cdc.gov/wastewater.\\n\\nThis dataset is updated weekly on Fridays.\",\n \"attribution\" : \"DIDRI/R3SB\",\n \"attribution_link\" : \"https://www.cdc.gov/wastewater\",\n \"contact_email\" : \"NWSS@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T15:04:22.000Z\",\n \"createdAt\" : \"2025-07-30T17:10:06.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T15:03:53.000Z\",\n \"data_updated_at\" : \"2026-09-11T15:04:22.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 68,\n \"page_views_last_month\" : 352,\n \"page_views_total\" : 3909,\n \"page_views_last_week_log\" : 6.10852445677817,\n \"page_views_last_month_log\" : 8.46352437327118,\n \"page_views_total_log\" : 11.932952892194715\n },\n \"columns_name\" :\n [\n \"lod_sewage\",\n \"pcr_target_avg_conc\",\n \"sample_type\",\n \"population_served\",\n \"pcr_target\",\n \"inhibition_adjust\",\n \"sample_location\",\n \"rec_eff_target_name\",\n \"state_territory\",\n \"site\",\n \"major_lab_method\",\n \"sample_collect_date\",\n \"pcr_target_units\",\n \"date_updated\",\n \"inhibition_detect\",\n \"rec_eff_spike_matrix\",\n \"counties_served\",\n \"hum_frac_mic_unit\",\n \"pcr_gene_target_agg\",\n \"pcr_type\",\n \"rec_eff_spike_conc\",\n \"rec_eff_percent\",\n \"hum_frac_mic_conc\",\n \"pcr_target_flowpop_lin\",\n \"extraction_method\",\n \"flow_rate\",\n \"sample_id\",\n \"hum_frac_target_mic\",\n \"county_fips\",\n \"source\",\n \"record_id\",\n \"pcr_target_avg_conc_lin\",\n \"pcr_target_detect\",\n \"ntc_amplify\",\n \"pasteurized\",\n \"concentration_method\",\n \"sample_matrix\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_field_name\" :\n [\n \"lod_sewage\",\n \"pcr_target_avg_conc\",\n \"sample_type\",\n \"population_served\",\n \"pcr_target\",\n \"inhibition_adjust\",\n \"sample_location\",\n \"rec_eff_target_name\",\n \"state_territory\",\n \"site\",\n \"major_lab_method\",\n \"sample_collect_date\",\n \"pcr_target_units\",\n \"date_updated\",\n \"inhibition_detect\",\n \"rec_eff_spike_matrix\",\n \"counties_served\",\n \"hum_frac_mic_unit\",\n \"pcr_gene_target_agg\",\n \"pcr_type\",\n \"rec_eff_spike_conc\",\n \"rec_eff_percent\",\n \"hum_frac_mic_conc\",\n \"pcr_target_flowpop_lin\",\n \"extraction_method\",\n \"flow_rate\",\n \"sample_id\",\n \"hum_frac_target_mic\",\n \"county_fips\",\n \"source\",\n \"record_id\",\n \"pcr_target_avg_conc_lin\",\n \"pcr_target_detect\",\n \"ntc_amplify\",\n \"pasteurized\",\n \"concentration_method\",\n \"sample_matrix\",\n \"pcr_target_mic_lin\"\n ],\n \"columns_datatype\" :\n [\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Number\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Text\",\n \"Number\"\n ],\n \"columns_description\" :\n [\n \"PCR target limit of detection (LOD) is the lowest analyte concentration that can be reliably detected by a PCR assay. 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This identifier is consistent over time, such that the same plant retains the same ID regardless of the addition or subtraction of other plants from the data set.\",\n \"A number used to distinguish major lab methods at the reporting jurisdiction level. Differences in lab methods may limit the comparability of PCR target concentrations. Reporting jurisdictions should use this field to indicate that lab methods are sufficiently different that caution should be used when comparing PCR target concentrations across them. These differences may result from any lab processing or quantification steps, including different PCR gene targets. Note that 'major_lab_method' may be the same for different laboratories if the reporting jurisdiction believes concentrations measured by those laboratories are comparable; conversely, 'major_lab_method' may be different for the same laboratory if changes made to the laboratory protocol rendered concentrations not comparable. 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{"dispatch_id": "toolu_0126QZAsG3PwCPvfq1KYBMpD", "elapsed": 0.312733446, "error": "", "result": {"content": "{\n \"results\" :\n [\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\",\n \"id\" : \"vutn-jzwm\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\\n<br>\\nFor additional information, please see: <a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\",\n \"attribution\" : \"National Syndromic Surveillance Program (NSSP)\",\n \"attribution_link\" : \"https://www.cdc.gov/respiratory-viruses/index.html\",\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:23.000Z\",\n \"createdAt\" : \"2023-09-01T21:08:45.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:21.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:23.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 58,\n \"page_views_last_month\" : 346,\n \"page_views_total\" : 27991,\n \"page_views_last_week_log\" : 5.882643049361842,\n \"page_views_last_month_log\" : 8.43879185257826,\n \"page_views_total_log\" : 14.772726949239852\n },\n \"columns_name\" :\n [ \"percent_visits\", \"week_end\", \"geography\", \"pathogen\" ],\n \"columns_field_name\" :\n [ \"percent_visits\", \"week_end\", \"geography\", \"pathogen\" ],\n \"columns_datatype\" : [ \"Number\", \"Calendar date\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"MMWR week ending on day\",\n \"Name of state, district, or territory. United States for entire country combined\",\n \"COVID, Flu, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\"\n ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 5012,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2024-11-08T16:08:12.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"coronavirus\",\n \"national syndromic surveillance program\",\n \"ophdst\",\n \"nssp\",\n \"ncird\",\n \"respiratory virus response\",\n \"influenza\",\n \"respiratory syncytial virus\",\n \"rvr\",\n \"rsv\",\n \"flu\",\n \"emergency department\",\n \"ed\",\n \"covid19\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-12-31/2024-02-17\"\n },\n {\n \"key\" : \"Common-Core_References\",\n \"value\" : \"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"\n },\n { \"key\" : \"Common-Core_Geographic-Coverage\", \"value\" : \"US\" },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program (NSSP)\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response . 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This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region. \\n\\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \\n\\nMore information on HSAs is available <a href=\\\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\\\"><b>here</b></a>.\\n\\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. 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This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given day from data submitted to the National Syndromic Surveillance Program (NSSP). \\n\\n\\n\\nFor additional information, please see: Companion Guide: NSSP Emergency Department Data on Respiratory Illness\\n\\nWhile the data are stratified by day, updated data are available once per week each Wednesday.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-10T00:05:46.000Z\",\n \"createdAt\" : \"2025-08-04T14:29:02.000Z\",\n \"metadata_updated_at\" : \"2026-09-10T00:05:46.000Z\",\n \"data_updated_at\" : \"2026-09-08T17:00:36.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 742,\n \"page_views_last_month\" : 2763,\n \"page_views_total\" : 9339,\n \"page_views_last_week_log\" : 9.537218400538597,\n \"page_views_last_month_log\" : 11.432541900388259,\n \"page_views_total_log\" : 13.189206834597025\n },\n \"columns_name\" :\n [ \"percent_visits\", \"geography\", \"date\", \"pathogen\" ],\n \"columns_field_name\" :\n [ \"percent_visits\", \"geography\", \"date\", \"pathogen\" ],\n \"columns_datatype\" : [ \"Number\", \"Text\", \"Calendar date\", \"Text\" ],\n \"columns_description\" : [ \"\", \"\", \"\", \"\" ],\n \"columns_format\" :\n [\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {}\n ],\n \"download_count\" : 767,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-08-04T15:17:15.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Coronavirus and Other Respiratory Viruses\",\n \"domain_tags\" : [ \"respiratory\", \"nssp\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"Gbedegnon Azondekon\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Gbedegnon Azondekon\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/vjzj-u7u8\",\n \"link\" : \"https://data.cdc.gov/Coronavirus-and-Other-Respiratory-Viruses/NSSP-Emergency-Department-Respiratory-Daily/vjzj-u7u8\",\n \"owner\" :\n {\n \"id\" : \"xei9-h3sc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GBEDEGNON AZONDEKON\"\n },\n \"creator\" :\n {\n \"id\" : \"xei9-h3sc\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"GBEDEGNON AZONDEKON\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Level of Acute Respiratory Illness (ARI) Activity by State\",\n \"id\" : \"f3zz-zga5\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Respiratory illness activity is monitored using the acute respiratory illness (ARI) metric. ARI captures a broad range of diagnoses from emergency department visits for respiratory illnesses, from the common cold to severe infections like influenza, RSV and COVID-19. It captures illnesses that may not present with fever, offering a more complete picture than the previous influenza-like illness (ILI) metric. \\n\\n Updated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov \",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:03.000Z\",\n \"createdAt\" : \"2024-10-04T17:47:30.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:02.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:03.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 360,\n \"page_views_last_month\" : 1972,\n \"page_views_total\" : 36448,\n \"page_views_last_week_log\" : 8.49585502688717,\n \"page_views_last_month_log\" : 10.946175240723559,\n \"page_views_total_log\" : 15.153591613447853\n },\n \"columns_name\" : [\n \"week_end\",\n \"BuildNumber\",\n \"geography\",\n \"label\"\n ],\n \"columns_field_name\" :\n [ \"week_end\", \"buildnumber\", \"geography\", \"label\" ],\n \"columns_datatype\" : [ \"Calendar date\", \"Text\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"MMWR week ending on day \",\n \"\",\n \"National, State, Territory \",\n \"This represents the ARI metric level observed for the most recent week. This value is repeated for all rows for a given geography and pathogen. \"\n ],\n \"columns_format\" : [ {}, {}, {}, {} ],\n \"download_count\" : 2860,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2024-11-08T16:20:19.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [ \"emergency department\", \"flu\", \"covid-19\", \"ari\", \"rsv\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov \"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:038\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"07/23/2027\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S. \"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National, State \"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov \"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S. \" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:038\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"07/23/2027\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/f3zz-zga5\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/Level-of-Acute-Respiratory-Illness-ARI-Activity-by/f3zz-zga5\",\n \"owner\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"g7yu-rfqd\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"VYK7@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined\",\n \"id\" : \"7mra-9cq9\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\\n\\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \\n<br>\\nFor additional information, please see:<a href=\\\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#[REDACTED]\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\\n<br>\\nUpdated once per week on Fridays.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:17:11.000Z\",\n \"createdAt\" : \"2023-11-16T23:24:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:17:11.000Z\",\n \"data_updated_at\" : \"2024-10-18T16:08:04.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 26,\n \"page_views_last_month\" : 146,\n \"page_views_total\" : 3904,\n \"page_views_last_week_log\" : 4.754887502163469,\n \"page_views_last_month_log\" : 7.199672344836364,\n \"page_views_total_log\" : 11.931106833029343\n },\n \"columns_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_field_name\" :\n [\n \"status\",\n \"recent_trend\",\n \"percent_visits\",\n \"pathogen\",\n \"week_end\",\n \"geography\",\n \"trend_on_date\"\n ],\n \"columns_datatype\" :\n [\n \"Text\",\n \"Text\",\n \"Number\",\n \"Text\",\n \"Calendar date\",\n \"Text\",\n \"Text\"\n ],\n \"columns_description\" :\n [\n \"[Reporting, Not Reporting]\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\",\n \"Percent of visits with specified pathogen of all visits for specified geography and week\",\n \"COVID -19, Influenza, RSV, Combined (includes unduplicated patient visits for any one or more of previous), based on coded ED discharge diagnoses\",\n \"MMWR week ending on day\",\n \"State, territory, or region.\",\n \"This is the trajectory that is calculated as of the MMWR week and represents the historical trend as it was observed during the specified week\"\n ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n { \"view\" : \"iso_8601_date_utc\" },\n {},\n {}\n ],\n \"download_count\" : 2577,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2023-11-16T23:31:34.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Public Health Surveillance\",\n \"domain_tags\" :\n [\n \"ncird\",\n \"rsv\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"respiratory-syncytial-virus\",\n \"ophdst\",\n \"nssp\",\n \"covid19\",\n \"coronavirus\",\n \"ed\",\n \"emergency-department\",\n \"flu\",\n \"influenza\",\n \"national-syndromic-surveillance-program\"\n ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core_Public-Access-Level\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1W\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, Respiratory Virus Response. (2023). 2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, National, Regional and State Level Trajectory\"\n },\n {\n \"key\" : \"Data-Quality_Geospatial-Resolution\",\n \"value\" : \"National, Regional, State\"\n },\n {\n \"key\" : \"Common-Core-3_Restriction-Status\",\n \"value\" : \"public\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:037\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2022-11-19/2024-02-03\"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1W\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program\"\n }\n ]\n },\n \"metadata\" :\n {\n \"domain\" : \"data.cdc.gov\",\n \"license\" : \"Public Domain U.S. Government\"\n },\n \"permalink\" : \"https://data.cdc.gov/d/7mra-9cq9\",\n \"link\" : \"https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9\",\n \"owner\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n },\n \"creator\" :\n {\n \"id\" : \"8e9u-wbfj\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Karl Soetebier\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Respiratory Conditions Treated in the Emergency Department\",\n \"id\" : \"v58w-vynu\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Methods for Creating Respiratory Conditions:\\n\\nThe International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. For a list of diagnostic codes included in the ARI metric, visit the <a href=\\\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf\\\">Acute Respiratory Illness Technical Brief</a>.\\n\\nThese codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and <a href=\\\"https://hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#[REDACTED]\">Clinical Classifications Software Refined (CCSRs)</a> categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.\\n\\nShort codes listed capture all codes underneath them (e.g., J09 includes J09.X1–J09.X9).\\n\\nFindings for each of the 14 condition categories were analyzed by age group.\\n\\nSource: National Syndromic Surveillance Program (NSSP)\\n\\nThe NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.\\n\\nNational data include emergency departments in all 50 states, the District of Columbia, and Guam. View the <a href=\\\"https://www.cdc.gov/nssp/media/images/2024/04/Participation-with-date.png\\\">Coverage Map</a>.\",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"nssp@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-11T16:02:32.000Z\",\n \"createdAt\" : \"2025-08-04T14:54:01.000Z\",\n \"metadata_updated_at\" : \"2026-09-11T16:02:29.000Z\",\n \"data_updated_at\" : \"2026-09-11T16:02:32.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 99,\n \"page_views_last_month\" : 511,\n \"page_views_total\" : 6800,\n \"page_views_last_week_log\" : 6.643856189774725,\n \"page_views_last_month_log\" : 9.0,\n \"page_views_total_log\" : 12.731531176461942\n },\n \"columns_name\" :\n [ \"age_group\", \"week_end\", \"percent_visits\", \"condition\" ],\n \"columns_field_name\" :\n [ \"age_group\", \"week_end\", \"percent_visits\", \"condition\" ],\n \"columns_datatype\" : [ \"Text\", \"Calendar date\", \"Number\", \"Text\" ],\n \"columns_description\" : [ \"\", \"\", \"\", \"\" ],\n \"columns_format\" :\n [\n {},\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {}\n ],\n \"download_count\" : 1564,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-08-08T14:31:50.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"National Center for Immunization and Respiratory Diseases\",\n \"domain_tags\" :\n [\n \"ari other\",\n \"bacteria\",\n \"rvr\",\n \"respiratory-virus-response\",\n \"virus\",\n \"ed data\",\n \"ophdst\",\n \"ncird\"\n ],\n \"domain_metadata\" :\n [\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"National Syndromic Surveillance Program \"\n },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:026\" },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"nssp@cdc.gov\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/v58w-vynu\",\n \"link\" : \"https://data.cdc.gov/National-Center-for-Immunization-and-Respiratory-D/Respiratory-Conditions-Treated-in-the-Emergency-De/v58w-vynu\",\n \"owner\" :\n {\n \"id\" : \"uwfi-yirr\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"rjx2@cdc.gov\"\n },\n \"creator\" :\n {\n \"id\" : \"uwfi-yirr\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"rjx2@cdc.gov\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates\",\n \"id\" : \"eze9-ahe5\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"<b>Data Source Description</b>: Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health threats. By tracking symptoms and conditions reported by patients in emergency departments (EDs), public health officials can monitor trends in critical areas. When people seek treatment in the ED, the facility sends de-identified data—including chief complaint, diagnosis codes, patient characteristics, and location—to state and local health departments to share with CDC. \\n \\n\\n<b>Indicator definitions</b>: Definitions include both (1) visits with acute mental health crises or evaluations where the sole or primary reason for the visit is related to mental health, and (2) visits where a mental health condition may not be the sole reason for the visit but was noted to be present in the discharge diagnosis or chief complaint. \\n\\nED data are displayed as rates. \\n\\n* The rate explains the number of ED visits related to a specific mental health condition out of every 100,000 ED visits. The monthly rate of ED visits related to a condition is calculated as the number of ED visits related to a condition as a fraction of the total number of ED visits in a given month multiplied by 100,000. ED visits with and without mental health conditions where patients were under 12 years old and where age, sex, and race and ethnicity were unknown were included in the denominators when calculating rates for the overall population. \\n\\n* Rates are also calculated within demographic groups such as age, sex, and race and ethnicity. This is done by comparing the number of ED visits related to a condition within a demographic group as a fraction of the total number of ED visits for that demographic group in a given month multiplied by 100,000. \\n\\n \\n\\n<b>Data quality and methodology</b>: More than 6,900 health care facilities covering 50 states, the District of Columbia, and Guam contribute data to NSSP daily. More than 80% of U.S. emergency departments send data to NSSP. Data are collected continuously, and for the purposes of this data channel, updated monthly. Monthly counts that are less than 10 either for the complete population or for specific demographic groups are not shown to protect confidentiality and privacy. Note, rate information may change as data are dynamically adjusted as electronic health record information is updated. However, these changes will not typically affect overall trends. \\n\\n \\n<b>For additional information, please see</b>: <a href = \\\"https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html\\\" target =\\\"_blank\\\">Mental Health Data Sources</a>. \\n \\nUpdated monthly. \",\n \"attribution\" : null,\n \"attribution_link\" : null,\n \"contact_email\" : \"mentalhealthdata@cdc.gov\",\n \"type\" : \"dataset\",\n \"updatedAt\" : \"2026-09-09T23:01:53.000Z\",\n \"createdAt\" : \"2025-04-29T17:01:14.000Z\",\n \"metadata_updated_at\" : \"2026-09-09T23:01:53.000Z\",\n \"data_updated_at\" : \"2026-08-26T17:36:26.000Z\",\n \"page_views\" :\n {\n \"page_views_last_week\" : 122,\n \"page_views_last_month\" : 528,\n \"page_views_total\" : 7474,\n \"page_views_last_week_log\" : 6.94251450533924,\n \"page_views_last_month_log\" : 9.047123912114026,\n \"page_views_total_log\" : 12.86785786397283\n },\n \"columns_name\" :\n [\n \"month_end\",\n \"rate_per_100000_visits\",\n \"condition\",\n \"demographics_type\",\n \"demographics_values\"\n ],\n \"columns_field_name\" :\n [\n \"month_end\",\n \"rate_per_100000_visits\",\n \"condition\",\n \"demographics_type\",\n \"demographics_values\"\n ],\n \"columns_datatype\" : [ \"Text\", \"Text\", \"Text\", \"Text\", \"Text\" ],\n \"columns_description\" :\n [\n \"Month\",\n \"Rate per 100,000 visits\",\n \"Condition description\",\n \"Demographic type\",\n \"Demographic values\"\n ],\n \"columns_format\" :\n [\n {},\n { \"decimalSeparator\" : \".\", \"groupSeparator\" : \",\" },\n {},\n {},\n {}\n ],\n \"download_count\" : 1510,\n \"provenance\" : \"official\",\n \"lens_view_type\" : \"tabular\",\n \"lens_display_type\" : \"table\",\n \"locked\" : false,\n \"backend\" : \"nbe\",\n \"blob_mime_type\" : null,\n \"hide_from_data_json\" : false,\n \"publication_date\" : \"2025-05-28T15:52:24.000Z\"\n },\n \"classification\" :\n {\n \"categories\" : [],\n \"tags\" : [],\n \"domain_category\" : \"Mental Health\",\n \"domain_tags\" :\n [ \"nssp\", \"mental health\", \"emergency department data\" ],\n \"domain_metadata\" :\n [\n {\n \"key\" : \"Common-Core_Contact-Email\",\n \"value\" : \"mentalhealthdata@cdc.gov\"\n },\n { \"key\" : \"Common-Core_Program-Code\", \"value\" : \"009:033\" },\n {\n \"key\" : \"Common-Core_Temporal-Applicability\",\n \"value\" : \"2019-01/present \"\n },\n {\n \"key\" : \"Common-Core_Geographic-Coverage\",\n \"value\" : \"U.S.\"\n },\n { \"key\" : \"Common-Core_Update-Frequency\", \"value\" : \"R/P1M\" },\n { \"key\" : \"Common-Core_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core_Contact-Name\",\n \"value\" : \"Mental Health Data Channel\"\n },\n {\n \"key\" : \"Data-Quality_Suggested-Citation\",\n \"value\" : \"Centers for Disease Control and Prevention, National Syndromic Surveillance Program, Mental Health-Related Emergency Department Visit Rates [date] \"\n },\n {\n \"key\" : \"Data-Quality_Geographic-Unit-of-Analysis\",\n \"value\" : \"National\"\n },\n {\n \"key\" : \"Common-Core-3_Contact-Email\",\n \"value\" : \"mentalhealthdata@cdc.gov\"\n },\n { \"key\" : \"Common-Core-3_Geographic-Name\", \"value\" : \"U.S.\" },\n { \"key\" : \"Common-Core-3_Program-Code\", \"value\" : \"009:033\" },\n {\n \"key\" : \"Common-Core-3_Temporal-Applicability\",\n \"value\" : \"2019-01/present \"\n },\n {\n \"key\" : \"Common-Core-3_Update-Frequency\",\n \"value\" : \"R/P1M\"\n },\n { \"key\" : \"Common-Core-3_Bureau-Code\", \"value\" : \"009:20\" },\n {\n \"key\" : \"Common-Core-3_Contact-Name\",\n \"value\" : \"Mental Health Data Channel\"\n }\n ]\n },\n \"metadata\" : { \"domain\" : \"data.cdc.gov\" },\n \"permalink\" : \"https://data.cdc.gov/d/eze9-ahe5\",\n \"link\" : \"https://data.cdc.gov/Mental-Health/National-Syndromic-Surveillance-Program-NSSP-Menta/eze9-ahe5\",\n \"owner\" :\n {\n \"id\" : \"cxhp-e5ei\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Mental Health Data Channel\"\n },\n \"creator\" :\n {\n \"id\" : \"cxhp-e5ei\",\n \"user_type\" : \"interactive\",\n \"display_name\" : \"Mental Health Data Channel\"\n }\n },\n {\n \"resource\" :\n {\n \"name\" : \"Imputed Hospitalization Rate for RSV at the State Level\",\n \"id\" : \"whhs-7a5d\",\n \"resource_name\" : null,\n \"parent_fxf\" : [],\n \"description\" : \"Weekly imputed RSV hospital admission rates per 100,000 population from 47 states plus DC from 2018-2024 are described. 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Estimates are based on emergency department visits reported to the National Syndromic Surveillance Program (NSSP), and generated using a model that includes nowcasting to adjust for incomplete reports on the most recent dates. See the visuals supported by these data, and more information about the data, models and methods at https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html, and https://www.cdc.gov/respiratory-viruses/data/activity-levels.html.\\n\\nFor a semi-technical overview of the modeling methods used to generate these estimates see https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html.\\n\\nNote: On June 1, 2026 the modeling methods used to generate these estimates changed.\\n\\nFor `as_of` dates prior to 2026-06-01, estimates were generated using a semi-mechanistic Bayesian model run using the R package EpiNow2. Models were run independently in each state. 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Dakota\",\"percent_visits\":\"0.0\"}\n,{\"week_end\":\"2026-09-05T00:00:00.000\",\"pathogen\":\"RSV\",\"geography\":\"Tennessee\",\"percent_visits\":\"0.0\"}\n,{\"week_end\":\"2026-09-05T00:00:00.000\",\"pathogen\":\"RSV\",\"geography\":\"Texas\",\"percent_visits\":\"0.0\"}\n,{\"week_end\":\"2026-09-05T00:00:00.000\",\"pathogen\":\"RSV\",\"geography\":\"Utah\",\"percent_visits\":\"0.0\"}\n,{\"week_end\":\"2026-09-05T00:00:00.000\",\"pathogen\":\"RSV\",\"geography\":\"Vermont\",\"percent_visits\":\"0.0\"}\n,{\"week_end\":\"2026-09-05T00:00:00.000\",\"pathogen\":\"RSV\",\"geography\":\"Virginia\",\"percent_visits\":\"0.0\"}\n,{\"week_end\":\"2026-09-05T00:00:00.000\",\"pathogen\":\"RSV\",\"geography\":\"Washington\",\"percent_visits\":\"0.0\"}\n,{\"week_end\":\"2026-09-05T00:00:00.000\",\"pathogen\":\"RSV\",\"geography\":\"West 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{"dispatch_id": "toolu_011XKYonnxtCsVNEEHjfgH92", "handle": "", "panel_kind": "write_file", "parent_dispatch_id": "", "tool_input": {"content": "# CDC respiratory virus snapshot — page updated Fri 2026-09-11\n\nNewest data week: ending Sat 2026-09-05; prior week: 2026-08-29.\n\n## National lab % positivity (NREVSS/FluView, seuz-s2cv)\n| Virus | 9/5 | 8/29 | 8/22 |\n|---|---|---|---|\n| COVID-19 | 5.6% | 5.6% | 5.3% |\n| Influenza | 1.3% | 1.0% | 0.8% |\n| RSV | 0.5% | 0.4% | 0.5% |\n\n## National % of ED visits (NSSP, vutn-jzwm)\nCOVID 0.6% (flat), flu 0.2% (flat), RSV 0.0%. Overall ARI = \"very low.\"\n\n## COVID positivity by HHS region (gvsb-yw6g), 9/5 vs 8/29\nR6 (TX/LA/OK/NM/AR) 14.5 vs 9.8 | R9 (CA/NV/AZ/HI) 9.4 vs 9.7 | R10 (PNW) 6.3 vs 6.9 |\nR4 (Southeast) 4.6 vs 6.1 | R3 3.3 | R2 3.2 | R7 3.0 | R8 3.0 | R5 2.9 | R1 2.8\n\n## RSV positivity by region 9/5: all <=0.9 (R4 0.9, R9 0.7, R6 0.6); national 0.5.\n\n## State ED hot spots, week ending 9/5\nCOVID: HI 1.7, TX 1.6, LA 1.3, FL 1.2, NC/SC/CA/AL 0.8, NV 0.7\nFlu: AK 1.6 (from 0.8), NC 0.7 (from 0.5), HI 0.6, WY 0.4, TX/WA 0.3\nRSV: flat, HI 0.2 the only state above 0.1\n\nSources: cdc.gov/respiratory-viruses/data, data.cdc.gov datasets seuz-s2cv, gvsb-yw6g, 3cxc-4k8q, vutn-jzwm.\n", "file_path": "/workspace/work/cdc-resp-2026-09-11.md"}, "tool_name": "write_file"}
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{"dispatch_id": "toolu_016K6nMWyY1JYqwdKsBh6QHs", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "in_response_to": "12abd378", "message": "Newest data week on [CDC's respiratory data channel](https://www.cdc.gov/respiratory-viruses/data/) ends Sat Sept 5, 2026 (page refreshed today). CDC's summary: overall acute respiratory illness is \"very low,\" COVID-19 elevated and increasing, flu and RSV low.\n\nNational lab test positivity ([CDC dataset](https://data.cdc.gov/resource/seuz-s2cv.json)):\n\n| Virus | Week ending 9/5 | Prior week 8/29 |\n|---|---|---|\n| COVID-19 | 5.6% | 5.6% |\n| Influenza | 1.3% | 1.0% |\n| RSV | 0.5% | 0.4% |\n\nNational ED visit share held flat: COVID 0.6%, flu 0.2%, RSV 0.0%. COVID hospitalizations remain low.\n\nRegional COVID positivity, 9/5 vs 8/29 ([CDC dataset](https://data.cdc.gov/resource/gvsb-yw6g.json)): HHS Region 6 (TX, LA, OK, NM, AR) jumped to 14.5% from 9.8%, the clear hot spot. Region 9 (CA, NV, AZ, HI) 9.4% vs 9.7%, Region 10 (Pacific NW) 6.3% vs 6.9%, Region 4 (Southeast) fell to 4.6% from 6.1%. Every other region sits near 3%.\n\nState ED hot spots for COVID this week: Hawaii 1.7%, Texas 1.6%, Louisiana 1.3%, Florida 1.2%. Flu's one mover is Alaska at 1.6% of ED visits, double its 0.8% the week before, with North Carolina at 0.7%. RSV is flat everywhere, 0.9% positivity in the Southeast being the regional high."}, "tool_name": "send_message"}
{"dispatch_id": "toolu_016K6nMWyY1JYqwdKsBh6QHs", "elapsed": 9.615950401, "error": "", "result": "Delivered (confirmed) as 5 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Latest week ending Sept 5: COVID elevated and rising, flu and RSV low.\n2) ### Lab test positivity · CDC data\n\n| Virus | Week ending 9/5 | Prior week 8/29 |\n|---|---|---|\n| COVID-19 | 5.6% | 5.6% |\n| Influenza | 1.3% | 1.0% |\n| RSV | 0.5% | 0.4% |\n3) COVID's big mover: HHS Region 6 (TX, LA, OK, NM, AR) jumped to 14.5% from 9.8%. Hawaii, Texas, and Louisiana are state hot spots for ED visits.\n4) Flu ticked up slightly, and Alaska's ED visits for flu doubled to 1.6%. RSV flat everywhere.\n5) https://www.cdc.gov/respiratory-viruses/data/\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. Only a final send settles its request. Never chase wording with another send. If a fact in it is wrong and would change what the user does, correct it when their next message arrives.\n\nNothing else is open: no request awaits a reply and no work is running. A response with no tool call ends the run.\nanswers: 12abd378-a305-4418-a858-025ee2308c6c", "status": "completed", "tool_name": "send_message"}
Latest week ending Sept 5: COVID elevated and rising, flu and RSV low.
### Lab test positivity · CDC data
| Virus | Week ending 9/5 | Prior week 8/29 |
|---|---|---|
| COVID-19 | 5.6% | 5.6% |
| Influenza | 1.3% | 1.0% |
| RSV | 0.5% | 0.4% |
COVID's big mover: HHS Region 6 (TX, LA, OK, NM, AR) jumped to 14.5% from 9.8%. Hawaii, Texas, and Louisiana are state hot spots for ED visits.
Flu ticked up slightly, and Alaska's ED visits for flu doubled to 1.6%. RSV flat everywhere.
https://www.cdc.gov/respiratory-viruses/data/