This feature service contains COVID-19 data automatically updated from the Public Health England (PHE) API service, daily. Using this API, this service takes the current day request minus two days. Therefore the data will always be two days behind. This is a result of the delay between PHE's specimen date and reporting date.The Polygon Layers, which all contain spatial data, provide information about the latest cumulative figures at three geographies; Local Authority, Regions and Nations. The Tables, which are not spatially aware, provide historical data for each feature. The format of these tables allow you to use the Join tool with the Polygon Layers and create a time enabled layer. This can be used within a dashboard or on the animation tool to view patterns over time.

The Public Health Emergency (PHE) declaration for COVID-19 expired on May 11, 2023. As a result, the Aggregate Case and Death Surveillance System will be discontinued. Although these data will continue to be publicly available, this dataset will no longer be updated.

On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily.

This dataset includes the URLs that were used by the aggregate county data collection process that compiled aggregate case and death counts by county. Within this file, each of the states (plus select jurisdictions and territories) are listed along with the county web sources which were used for pulling these numbers. Some states had a single statewide source for collecting the county data, while other states and local health jurisdictions may have had standalone sources for individual counties. In the cases where both local and state web sources were listed, a composite approach was taken so that the maximum value reported for a location from either source was used. The initial raw data were sourced from these links and ingested into the CDC aggregate county dataset before being published on the COVID Data Tracker.

News dissemination plays a vital role in supporting people to incorporate beneficial actions during public health emergencies, thereby significantly reducing the adverse influences of events. Based on big data from YouTube, this research study takes the declaration of COVID-19 National Public Health Emergency (PHE) as the event impact and employs a DiD model to investigate the effect of PHE on the news dissemination strength of relevant videos. The study findings indicate that the views, comments, and likes on relevant videos significantly increased during the COVID-19 public health emergency. Moreover, the public’s response to PHE has been rapid, with the highest growth in comments and views on videos observed within the first week of the public health emergency, followed by a gradual decline and returning to normal levels within four weeks. In addition, during the COVID-19 public health emergency, in the context of different types of media, lifestyle bloggers, local media, and institutional media demonstrated higher growth in the news dissemination strength of relevant videos as compared to news & political bloggers, foreign media, and personal media, respectively. Further, the audience attracted by related news tends to display a certain level of stickiness, therefore this audience may subscribe to these channels during public health emergencies, which confirms the incentive mechanisms of social media platforms to foster relevant news dissemination during public health emergencies. The proposed findings provide essential insights into effective news dissemination in potential future public health events.

The COVID-19 Health Inequalities Monitoring in England (CHIME) tool brings together data relating to the direct impacts of coronavirus (COVID-19) on factors such as mortality rates, hospital admissions, confirmed cases and vaccinations.

By presenting inequality breakdowns - including by age, sex, ethnic group, level of deprivation and region - the tool provides a single point of access to:

• show how inequalities have changed during the course of the pandemic and what the current cumulative picture is
• bring together data in one tool to enable users to access and use the intelligence more easily
• provide indicators with a consistent methodology across different data sets to facilitate understanding
• support users to identify and address inequalities within their areas, and identify priority areas for recovery

In the March 2023 update, data has been updated for deaths, hospital admissions and vaccinations. Data on inequalities in vaccination uptake within upper tier local authorities has been added to the tool for the first time. This replaces data for lower tier local authorities, published in December 2022, allowing the reporting of a wider range of inequality breakdowns within these areas.

Please send any questions or comments to PHA-OHID@dhsc.gov.uk

Covid-19 Daily metrics at the county level

As of 6/1/2023, this data set is no longer being updated.

The COVID-19 Data Report is posted on the Open Data Portal every day at 3pm. The report uses data from multiple sources, including external partners; if data from external partners are not received by 3pm, they are not available for inclusion in the report and will not be displayed. Data that are received after 3pm will still be incorporated and published in the next report update.

The cumulative number of COVID-19 cases (cumulative_cases) includes all cases of COVID-19 that have ever been reported to DPH. The cumulative number of COVID_19 cases in the last 7 days (cases_7days) only includes cases where the specimen collection date is within the past 7 days. While most cases are reported to DPH within 48 hours of specimen collection, there are a small number of cases that routinely are delayed, and will have specimen collection dates that fall outside of the rolling 7 day reporting window. Additionally, reporting entities may submit correction files to contribute historic data during initial onboarding or to address data quality issues; while this is rare, these correction files may cause a large amount of data from outside of the current reporting window to be uploaded in a single day; this would result in the change in cumulative_cases being much larger than the value of cases_7days.

On June 4, 2020, the US Department of Health and Human Services issued guidance requiring the reporting of positive and negative test results for SARS-CoV-2; this guidance expired with the end of the federal PHE on 5/11/2023, and negative SARS-CoV-2 results were removed from the List of Reportable Laboratory Findings. DPH will no longer be reporting metrics that were dependent on the collection of negative test results, specifically total tests performed or percent positivity. Positive antigen and PCR/NAAT results will continue to be reportable.

Results of logistic regressions.

Results of Games-Howell comparisons.

This repository contains the protein-protein interactions inferred by mimicINT (https://github.com/TAGC-NetworkBiology/mimicINT) between the proteins of seven human coronaviruses (HCoV-229E, HCoV-HKU1, HCoV-NL63, HCoV-OC43, MERS-CoV, SARS-CoV and SARS-CoV-2) and substantial fraction of the human proteome. This dataset was generated in the context of the RiPCoN project (H2020-SC1-PHE-CORONAVIRUS-2020, https://cordis.europa.eu/project/id/101003633).

Descriptive statistics for items.

State level COVID-19 metrics. As of 6/1/2023 this data set is no longer being updated. The COVID-19 Data Report is posted on the Open Data Portal every day at 3pm. The report uses data from multiple sources, including external partners; if data from external partners are not received by 3pm, they are not available for inclusion in the report and will not be displayed. Data that are received after 3pm will still be incorporated and published in the next report update. The cumulative number of COVID-19 cases (cumulative_cases) includes all cases of COVID-19 that have ever been reported to DPH. The cumulative number of COVID_19 cases in the last 7 days (cases_7days) only includes cases where the specimen collection date is within the past 7 days. While most cases are reported to DPH within 48 hours of specimen collection, there are a small number of cases that routinely are delayed, and will have specimen collection dates that fall outside of the rolling 7 day reporting window. Additionally, reporting entities may submit correction files to contribute historic data during initial onboarding or to address data quality issues; while this is rare, these correction files may cause a large amount of data from outside of the current reporting window to be uploaded in a single day; this would result in the change in cumulative_cases being much larger than the value of cases_7days. On June 4, 2020, the US Department of Health and Human Services issued guidance requiring the reporting of positive and negative test results for SARS-CoV-2; this guidance expired with the end of the federal PHE on 5/11/2023, and negative SARS-CoV-2 results were removed from the List of Reportable Laboratory Findings. DPH will no longer be reporting metrics that were dependent on the collection of negative test results, specifically total tests performed or percent positivity. Positive antigen and PCR/NAAT results will continue to be reportable.

During a public health emergency in the Families First Coronavirus Response Act (FFCRA), a new optional Medicaid eligibility group was added called COVID-19 testing eligibility group. States reported these expenditures under sections 6004 and 6008 through the Medicaid Budget and Expenditure System (MBES) on the Form CMS-64. The data in these reports constitute summary level preliminary expenditure information related to these FFCRA provisions for each state Notes: 1. The Families First Coronavirus Response Act (FFCRA), enacted on March 18, 2020, provided a temporary FMAP increase to states and territories meeting certain qualifications and added a new optional Medicaid eligibility group for uninsured individuals during a public health emergency in section 1902(a)(10)(A)(ii)(XXIII) of the Act, referred to as the “COVID - 19 Testing Group.” 2. FFCRA Section 6008 provides a temporary 6.2 percentage point FMAP increase to each qualifying state and territory's FMAP under section 1905(b) of the Act, beginning January 1, 2020 and lasting through the end of the quarter in which the public health emergency (PHE) declared by the Secretary for COVID-19 ends, including any extensions. 3. FFCRA Section 6004 provides a 100 percent match rate for individuals eligible under the new optional Medicaid eligibility group in section 1902(a)(10)(A)(ii)(XXIII) of the Act, beginning no earlier than March 18, 2020 and lasting through the end of the PHE for COVID-19. 4. States that have reported “0” either have no expenditures for that reporting category or have not yet reported expenditures for that category. 5. This report is a cumulative summary report that includes current and prior period adjustment expenditures that apply to this quarter 6. For the Quarter ending 03/31/2020: Delaware has Negative Total Computable Expenditures and Total Federal Share Expenditures due to the reporting of prior period adjustments during this period. 7. For the Quarter ending 09/30/2020: Colorado has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 8. For the Quarter ending 03/31/2021: California has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. This corrected FY 2020 Q4 expenditures for Treatment services that are not allowed for Section 6004 100% FMAP match. 9. For the Quarter ending 03/31/2021: Utah has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 10. For the Quarter ending 12/31/2022: California has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 11. For the Quarter ending 12/31/2022: Connecticut has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 12. For the Quarter ending 09/30/2023: Connecticut has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 13. For the Quarter ending 09/30/2023: Illinois has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 14. For the Quarter ending 09/30/2023: Minnesota has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid

Town Level COVID-19 Data

As of 6/1/2023, this data set is no longer being updated.

The COVID-19 Data Report is posted on the Open Data Portal every day at 3pm. The report uses data from multiple sources, including external partners; if data from external partners are not received by 3pm, they are not available for inclusion in the report and will not be displayed. Data that are received after 3pm will still be incorporated and published in the next report update.

Suppression: the data in towns with fewer than five (5) cases or five (5) positive NAAT tests in the past seven (7) days are suppressed.

The cumulative number of COVID-19 cases (cumulative_cases) includes all cases of COVID-19 that have ever been reported to DPH. The cumulative number of COVID_19 cases in the last 7 days (cases_7days) only includes cases where the specimen collection date is within the past 7 days. While most cases are reported to DPH within 48 hours of specimen collection, there are a small number of cases that routinely are delayed, and will have specimen collection dates that fall outside of the rolling 7 day reporting window. Additionally, reporting entities may submit correction files to contribute historic data during initial onboarding or to address data quality issues; while this is rare, these correction files may cause a large amount of data from outside of the current reporting window to be uploaded in a single day; this would result in the change in cumulative_cases being much larger than the value of cases_7days.

On June 4, 2020, the US Department of Health and Human Services issued guidance requiring the reporting of positive and negative test results for SARS-CoV-2; this guidance expired with the end of the federal PHE on 5/11/2023, and negative SARS-CoV-2 results were removed from the List of Reportable Laboratory Findings. DPH will no longer be reporting metrics that were dependent on the collection of negative test results, specifically total tests performed or percent positivity. Positive antigen and PCR/NAAT results will continue to be reportable.

Department of Health and Human Services (HHS) COVID-19 Therapeutics LocatorThe national map below displays public locations that have received shipments of U.S. Government-procured COVID-19 therapeutics under U.S. Food and Drug Administration (FDA) Emergency Use Authorization (EUA) authority. The long-acting antibody combination, evusheld; monoclonal antibody treatments, bebtelovimab and sotrovimab; as well as the oral antiviral therapies, paxlovid and molnupiravir are products authorized by the FDA for either prevention (evusheld) or treatment (paxlovid, sotrovimab, bebtelovimab, and molnupiravir) of COVID-19. The locations displayed in the locator have reported available courses within the last 7 days.As of January 24, 2022, allocations of bamlanivimab/etesevimab and REGEN-COV have been paused following FDA's revised EUA's for both products restricting their use due to the omicron variant.These therapies require a prescription by a licensed and authorized provider. This therapeutics locator is intended for provider use. Patients should not contact locations directly unless instructed to do so by their healthcare provider.Additional resources and information related to COVID-19 Therapeutics currently distributed by the federal government can be found on phe.gov/COVIDTherapeutics. For questions regarding the site, contact HPOP-Therapeutics@hhs.gov.Find locationsSearch by therapy and by zip code to find locations.Data Information and DisclaimersThis data is based on stock on hand as reported by the location and is not a guarantee of availability. Locations that report fewer than 5 courses of the selected therapeutic are not displayed. All therapeutics identified in the locator must be used in alignment with the terms of the respective product's EUA. Data displayed on this page is for informational purposes only.

The Obesity Profile (previously named NCMP and Child Obesity Profile) displays data from the National Child Measurement Programme (NCMP) showing the prevalence of obesity, severe obesity, overweight, healthy weight and underweight at local authority (LA), regional and national level over time; for children in Reception (aged 4 to 5 years) and Year 6 (aged 10 to 11 years).

Users can compare LA data by region or between ‘The Chartered Institute of Public Finance and Accountancy (CIPFA) nearest neighbours’ (LAs with similar characteristics).

The tool also presents inequalities in child obesity prevalence by sex, deprivation quintile and ethnic group by local authority. The profile also includes child obesity slope index of inequality (SII) for each of the 9 English regions and England.

School closures, in March 2020, due to the coronavirus (COVID-19) pandemic meant that in 2019 to 2020 the number of children measured was around 75% of previous years. Analysis by NHS Digital shows that national and regional level data is reliable and comparable to previous years. The data at local authority level and below is not as robust, as a result a small number of areas do not have published data for 2019 to 2020 and data for some areas have a reliability flag indicating that figures need to be interpreted with caution. Further information is available in the Obesity Profile and in the https://digital.nhs.uk/data-and-information/publications/statistical/national-child-measurement-programme/2019-20-school-year" class="govuk-link">NHS Digital 2019 to 2020 annual report .

The NCMP small area data domain displays trend data on the prevalence of excess weight (overweight including obesity) and obesity for Middle Super Output Areas (MSOAs), Electoral Wards, and Clinical Commissioning Groups (CCG) with comparator data for local authorities and England.

To produce as robust an indicator as possible at small area level, the prevalence estimates use three years of NCMP data combined; the latest data is presented for 2017 to 2018 up to 2019 to 2020 combined. In the three-year grouped NCMP data for small areas we would expect around 33% of data from each contributing year. Values for areas where less than 20% of data is from 2019 to 2020 is flagged in the Obesity Profile. The percentage contribution of 2019 to 2020 data to the three-year data for each geographic area is available on the https://digital.nhs.uk/data-and-information/publications/statistical/national-child-measurement-programme/2019-20-school-year" class="govuk-link">NHS Digital website. The obesity, and excess weight prevalence indicators at small area level for 2017 to 2018 up to 2019 to 2020 are still considered to be reliable even with a small amount of data from 2019 to 2020.

A new domain (Adult prevalence data) has been added to this profile to display indicators on adult excess weight and obesity in early pregnancy. More indicators for other adult BMI categories will be added in 2021.

Collated set of UK health indicators from the Esri UK National Data Service. These have been made available for a limited period to support COVID-19 responses.This set of health data covers prevalences of a range of conditions many of which are believed to place individuals at greater should they catch the COVID-19 virus. In addition some information on care home locations and their number of beds is presented. Sources are England only and are taken from the PHE fingertips system and the Care Quality Commission website. The data is presented across a set of geographical areas from Care home and GP locations through Clinical Commissioning Group (CCG) and Lower Super Output Area (LSOA) to England level.