15 datasets found
  1. COVID-19: number of outbreaks in care homes - management information

    • gov.uk
    Updated Aug 27, 2020
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    Public Health England (2020). COVID-19: number of outbreaks in care homes - management information [Dataset]. https://www.gov.uk/government/statistical-data-sets/covid-19-number-of-outbreaks-in-care-homes-management-information
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    Dataset updated
    Aug 27, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Description

    This dataset is derived from reports to Public Health England (PHE) of infectious disease outbreaks in care homes. Care homes in this dataset refers to all supported living facilities such as residential homes, nursing homes, rehabilitation units and assisted living units.

    The tables in this publication provide the latest management information on suspected or confirmed outbreaks of COVID-19 for upper tier local authorities, lower tier local authorities, government office regions and PHE centres.

    Any individual care home will only be included in the dataset once. If a care home has reported more than one outbreak, only the first is included in this dataset.

    As the details of an outbreak are investigated data will be subject to revision and the numbers in this dataset may change in future publications.

    This dataset contains no indication of whether the reported outbreaks are still active.

    Each weekly total refers to reports in the period Monday to the following Sunday.

    As the COVID-19 situation in England continues to evolve, the previous report providing management information on care home outbreaks is no longer appropriate. Therefore, this publication ceased on 23 July 2020.

    PHE continues to share all relevant case and outbreak data with local authorities and other stakeholders regularly and is developing additional integrated tools to support their ongoing need for intelligence. The COVID-19 surveillance report is published weekly.

    If you have any comments or queries email asc@phe.gov.uk .

    https://assets.publishing.service.gov.uk/media/5f194e8de90e07456aa7f426/Care_home_outbreaks_of_COVID-19_Management_Information.ods">Care home data weekly updates: 23 July 2020

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  2. Winter Coronavirus (COVID-19) Infection Study: estimates of epidemiological...

    • gov.uk
    Updated Jun 11, 2024
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    UK Health Security Agency (2024). Winter Coronavirus (COVID-19) Infection Study: estimates of epidemiological characteristics, England and Scotland: 2023 to 2024 [Dataset]. https://www.gov.uk/government/statistics/winter-coronavirus-covid-19-infection-study-estimates-of-epidemiological-characteristics-england-and-scotland-2023-to-2024
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    Dataset updated
    Jun 11, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Area covered
    England
    Description

    Based on responses from the Winter Coronavirus (COVID-19) Infection Study to deliver real-time information to help assess the effects of COVID-19 on the lives of individuals and the community, and help understand the potential winter pressures on our health services.

    The study has been launched jointly by the Office for National Statistics (ONS) and the UK Health Security Agency (UKHSA), with data collected via online questionnaire completion and self-reported lateral flow device (LFD) results from previous participants of the COVID-19 Infection Survey.

    The data tables are intended to be published fortnightly, but will become weekly if necessary, based on the scale and pattern of infections.

    These statistics are published as official statistics in development. Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics that all producers of official statistics should adhere to.

  3. i

    Data from: COVID-19 News Articles

    • ieee-dataport.org
    Updated May 18, 2022
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    Piyush Ghasiya (2022). COVID-19 News Articles [Dataset]. https://ieee-dataport.org/documents/covid-19-news-articles
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    Dataset updated
    May 18, 2022
    Authors
    Piyush Ghasiya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    India

  4. Deaths by vaccination status, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 25, 2023
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    Office for National Statistics (2023). Deaths by vaccination status, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland
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    xlsxAvailable download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

  5. f

    Data_Sheet_7_Lessons From the UK's Lockdown: Discourse on Behavioural...

    • frontiersin.figshare.com
    pdf
    Updated May 30, 2023
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    Jet G. Sanders; Alessia Tosi; Sandra Obradovic; Ilaria Miligi; Liam Delaney (2023). Data_Sheet_7_Lessons From the UK's Lockdown: Discourse on Behavioural Science in Times of COVID-19.PDF [Dataset]. http://doi.org/10.3389/fpsyg.2021.647348.s010
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Jet G. Sanders; Alessia Tosi; Sandra Obradovic; Ilaria Miligi; Liam Delaney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In recent years behavioural science has quickly become embedded in national level governance. As the contributions of behavioural science to the UK's COVID-19 response policies in early 2020 became apparent, a debate emerged in the British media about its involvement. This served as a unique opportunity to capture public discourse and representation of behavioural science in a fast-track, high-stake context. We aimed at identifying elements which foster and detract from trust and credibility in emergent scientific contributions to policy making. With this in mind, in Study 1 we use corpus linguistics and network analysis to map the narrative around the key behavioural science actors and concepts which were discussed in the 647 news articles extracted from the 15 most read British newspapers over the 12-week period surrounding the first hard UK lockdown of 2020. We report and discuss (1) the salience of key concepts and actors as the debate unfolded, (2) quantified changes in the polarity of the sentiment expressed toward them and their policy application contexts, and (3) patterns of co-occurrence via network analyses. To establish public discourse surrounding identified themes, in Study 2 we investigate how salience and sentiment of key themes and relations to policy were discussed in original Twitter chatter (N = 2,187). In Study 3, we complement these findings with a qualitative analysis of the subset of news articles which contained the most extreme sentiments (N = 111), providing an in-depth perspective of sentiments and discourse developed around keywords, as either promoting or undermining their credibility in, and trust toward behaviourally informed policy. We discuss our findings in light of the integration of behavioural science in national policy making under emergency constraints.

  6. Summary scores.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Stephanie Preston; Anthony Anderson; David J. Robertson; Mark P. Shephard; Narisong Huhe (2023). Summary scores. [Dataset]. http://doi.org/10.1371/journal.pone.0246757.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Stephanie Preston; Anthony Anderson; David J. Robertson; Mark P. Shephard; Narisong Huhe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary scores.

  7. w

    COVID-19 Health Inequalities Monitoring in England tool (CHIME)

    • gov.uk
    • s3.amazonaws.com
    Updated May 24, 2023
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    Office for Health Improvement and Disparities (2023). COVID-19 Health Inequalities Monitoring in England tool (CHIME) [Dataset]. https://www.gov.uk/government/statistics/covid-19-health-inequalities-monitoring-in-england-tool-chime
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    Dataset updated
    May 24, 2023
    Dataset provided by
    GOV.UK
    Authors
    Office for Health Improvement and Disparities
    Area covered
    England
    Description

    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.

    Updates to the CHIME tool are paused pending the results of a review of the content and presentation of data within the tool. The tool has not been updated since the 16 March 2023.

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

  8. c

    COVID-19: Human Rights Implications of Digital Certificates for Health...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Jun 13, 2025
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    Beduschi, A (2025). COVID-19: Human Rights Implications of Digital Certificates for Health Status Verification: Expert Semi-Structured Interview Transcripts, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855550
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    Dataset updated
    Jun 13, 2025
    Dataset provided by
    University of Exeter
    Authors
    Beduschi, A
    Time period covered
    Nov 1, 2020 - Mar 1, 2021
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    The semi-structured interviews were administered remotely using Zoom and Microsoft Teams. A semi-structured interview schedule was used in all interviews. Based on thematic theories, those schedules were informed by themes emerging from digital identity technologies, data protection, privacy, and human rights. The interviews were recorded using the online platform audio recording facility (with participants’ informed consent). Interviewees were recruited amongst digital identity industry leaders and engineers working in the design of digital identity and digital certification. Access to interviewees was facilitated by the PI’s professional networks, including in the area of digital identity. Gender parity was achieved with 55% female interviewees and 45% male interviewees.The interviews aimed to investigate: (1) how they perceive the potential challenges for data privacy and human rights regarding Covid-19 health status certificates and (2) how the potential risks to data privacy and human rights, in particular, due to the sensitive nature of health data, can be mitigated from a technical perspective, and how risk management strategies can be integrated into the design of digital certificates.
    Description

    The data relates to the project COVID-19: Human Rights Implications of Digital Certificates for Health Status Verification. The study aimed at analysing the implications of Covid-19 health status certificates for data privacy and human rights. These certificates are also commonly referred to as digital health passports.

    Covid-19 health status certificates are defined in the study as an all-encompassing term, referring to the digital and paper-based certificates that, combined with identity verification, allow individuals to prove their health status (such as the results of Covid-19 tests and vaccination records).

    The study could draw on twenty semi-structured interviews with technologists and experts in digital identity and certification conducted between December 2020 and March 2021, as well as disciplinary and interdisciplinary literature reviews and evaluations of primary and secondary sources of law.

    The UK government announced it would consider establishing "immunity passports" as part of a lockdown exit strategy during the ongoing outbreak of COVID-19. Digital certificates for verifying immunity, proof of vaccination and COVID-19 test results may contribute to the long-term COVID-19 management strategy, whereby based on their health status, certain individuals would be able to return to work and enjoy their general freedom of movement. Yet, such certificates pose important questions for the protection of data privacy and human rights, given that they would (1) use sensitive personal health information, (2) create a new distinction between individuals based on their health status, and (3) be used to determine the degree of freedoms and rights one may enjoy.

    The technologies adopted during the current pandemic will have a lasting impact on our societies. They will shape how we respond to the trade-offs between data privacy, human rights, and public health interests. This project will evaluate whether and how digital certificates for health status affect our enjoyment of data privacy and the protection of our human rights, assessing whether there are effective ways to mitigate any potential risks for these rights, thus informing decision-making in this area of crucial national interest.

  9. Characteristics of the study population (derivation and validation cohorts)....

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
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    Steve Goodacre; Ben Thomas; Laura Sutton; Matthew Burnsall; Ellen Lee; Mike Bradburn; Amanda Loban; Simon Waterhouse; Richard Simmonds; Katie Biggs; Carl Marincowitz; Jose Schutter; Sarah Connelly; Elena Sheldon; Jamie Hall; Emma Young; Andrew Bentley; Kirsty Challen; Chris Fitzsimmons; Tim Harris; Fiona Lecky; Andrew Lee; Ian Maconochie; Darren Walter (2023). Characteristics of the study population (derivation and validation cohorts). [Dataset]. http://doi.org/10.1371/journal.pone.0245840.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Steve Goodacre; Ben Thomas; Laura Sutton; Matthew Burnsall; Ellen Lee; Mike Bradburn; Amanda Loban; Simon Waterhouse; Richard Simmonds; Katie Biggs; Carl Marincowitz; Jose Schutter; Sarah Connelly; Elena Sheldon; Jamie Hall; Emma Young; Andrew Bentley; Kirsty Challen; Chris Fitzsimmons; Tim Harris; Fiona Lecky; Andrew Lee; Ian Maconochie; Darren Walter
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of the study population (derivation and validation cohorts).

  10. Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2,...

    • statista.com
    • ai-chatbox.pro
    Updated Dec 15, 2020
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    Statista (2020). Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2, 2023 [Dataset]. https://www.statista.com/statistics/1087466/covid19-cases-recoveries-deaths-worldwide/
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    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2, 2023
    Area covered
    Worldwide
    Description

    As of May 2, 2023, there were roughly 687 million global cases of COVID-19. Around 660 million people had recovered from the disease, while there had been almost 6.87 million deaths. The United States, India, and Brazil have been among the countries hardest hit by the pandemic.

    The various types of human coronavirus The SARS-CoV-2 virus is the seventh known coronavirus to infect humans. Its emergence makes it the third in recent years to cause widespread infectious disease following the viruses responsible for SARS and MERS. A continual problem is that viruses naturally mutate as they attempt to survive. Notable new variants of SARS-CoV-2 were first identified in the UK, South Africa, and Brazil. Variants are of particular interest because they are associated with increased transmission.

    Vaccination campaigns Common human coronaviruses typically cause mild symptoms such as a cough or a cold, but the novel coronavirus SARS-CoV-2 has led to more severe respiratory illnesses and deaths worldwide. Several COVID-19 vaccines have now been approved and are being used around the world.

  11. GDP loss due to COVID-19, by economy 2020

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 2025
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    Jose Sanchez (2025). GDP loss due to COVID-19, by economy 2020 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

  12. National flu and COVID-19 surveillance reports: 2024 to 2025 season

    • gov.uk
    Updated Jun 19, 2025
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    UK Health Security Agency (2025). National flu and COVID-19 surveillance reports: 2024 to 2025 season [Dataset]. https://www.gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports-2024-to-2025-season
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    Dataset updated
    Jun 19, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    These reports summarise the surveillance of influenza, COVID-19 and other seasonal respiratory illnesses in England.

    Weekly findings from community, primary care, secondary care and mortality surveillance systems are included in the reports.

    This page includes reports published from 18 July 2024 to the present.

    Please note that after the week 21 report (covering data up to week 20), this surveillance report will move to a condensed summer report and will be released every 2 weeks.

    Previous reports on influenza surveillance are also available for:

    View the pre-release access list for these reports.

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  13. Daily domestic transport use by mode

    • gov.uk
    Updated Jun 11, 2025
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    Department for Transport (2025). Daily domestic transport use by mode [Dataset]. https://www.gov.uk/government/statistics/transport-use-during-the-coronavirus-covid-19-pandemic
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    Dataset updated
    Jun 11, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. You are welcome to contact us directly by emailing transport.statistics@dft.gov.uk with any comments about how we meet these standards.

    These statistics on transport use are published monthly.

    For each day, the Department for Transport (DfT) produces statistics on domestic transport:

    • road traffic in Great Britain
    • rail passenger journeys in Great Britain
    • Transport for London (TfL) tube and bus routes
    • bus travel in Great Britain (excluding London)

    The associated methodology notes set out information on the data sources and methodology used to generate these headline measures.

    From September 2023, these statistics include a second rail usage time series which excludes Elizabeth Line service (and other relevant services that have been replaced by the Elizabeth line) from both the travel week and its equivalent baseline week in 2019. This allows for a more meaningful like-for-like comparison of rail demand across the period because the effects of the Elizabeth Line on rail demand are removed. More information can be found in the methodology document.

    The table below provides the reference of regular statistics collections published by DfT on these topics, with their last and upcoming publication dates.

    ModePublication and linkLatest period covered and next publication
    Road trafficRoad traffic statisticsFull annual data up to December 2023 was published in May 2024.

    Quarterly data up to September 2024 was published December 2024.
    Rail usageThe Office of Rail and Road (ORR) publishes a range of statistics including passenger and freight rail performance and usage. Statistics are available at the https://www.orr.gov.uk/published-statistics" class="govuk-link">ORR website.

    Statistics for rail passenger numbers and crowding on weekdays in major cities in England and Wales are published by DfT.
    ORR’s latest quarterly rail usage statistics, covering July to September 2024, was published in December 2024.


    DfT’s most recent annual passenger numbers and crowding statistics for 2023 were published in September 2024.
    Bus usageBus statisticsThe most recent annual publication covered the year ending March 2024.

    The most recent quarterly publication covered October to December 2024.
    TfL tube and bus usageData on buses is covered by the section above. https://tfl.gov.uk/status-updates/busiest-times-to-travel" class="govuk-link">Station level business data is available.
    Cycling usageWalking and cycling statistics, England2023 calendar year published in August 2024.
    Cross Modal and journey by purposeNational Travel Survey2023 calendar year data published in August 2024.

  14. w

    National flu and COVID-19 surveillance reports: 2021 to 2022 season

    • gov.uk
    Updated Jul 28, 2022
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    UK Health Security Agency (2022). National flu and COVID-19 surveillance reports: 2021 to 2022 season [Dataset]. https://www.gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports-2021-to-2022-season
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    Dataset updated
    Jul 28, 2022
    Dataset provided by
    GOV.UK
    Authors
    UK Health Security Agency
    Description

    These reports summarise the surveillance of influenza, COVID-19 and other seasonal respiratory illnesses.

    Weekly findings from community, primary care, secondary care and mortality surveillance systems are included in the reports.

    Due to the COVID-19 pandemic, for the 2021 to 2022 season the weekly reports will be published all year round.

    This page includes reports published from 15 July 2021 to the present.

    Due to a misclassification of 2 subgroups within the Asian and Asian British and Black and Black British ethnic categories, the proportions of deaths for these ethnic categories in reports published between week 27 2021 and week 29 2021 were incorrect. These have been corrected from week 30 2021 report onwards. The impact of the correction specifically affects the proportion of deaths with an Asian and Asian British and/or Black and Black British ethnic categories. The total number of deaths reported was unaffected. Other ethnicity data included in the reports were not affected by this issue.

    Previous reports on influenza surveillance are also available for:

    Reports from spring 2013 and earlier are available on https://webarchive.nationalarchives.gov.uk/20140629102650tf_/http://www.hpa.org.uk/Publications/InfectiousDiseases/Influenza/" class="govuk-link">the UK Government Web Archive.

    View previous COVID-19 surveillance reports.

  15. NHS 111 Minimum Dataset for February 2021

    • gov.uk
    Updated Mar 11, 2021
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    NHS England (2021). NHS 111 Minimum Dataset for February 2021 [Dataset]. https://www.gov.uk/government/statistics/nhs-111-minimum-dataset-for-february-2021
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    Dataset updated
    Mar 11, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    NHS England
    Description

    Monthly data for each NHS 111 contract area in England, including: calls offered, answered in 60 seconds, abandoned, transferred, and resulting in ambulance dispatches or recommendations to A&E, medical or dental primary care, or other services. Also includes NHS 111 patient experience survey data twice a year.

    Official statistics are produced impartially and free from any political influence.

    Due to the coronavirus illness (COVID-19) and the need to release capacity across the NHS to support the response, plans to discontinue the NHS 111 Minimum Dataset and replace with the Integrated Urgent Care Aggregate Data Collection have been delayed.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Public Health England (2020). COVID-19: number of outbreaks in care homes - management information [Dataset]. https://www.gov.uk/government/statistical-data-sets/covid-19-number-of-outbreaks-in-care-homes-management-information
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COVID-19: number of outbreaks in care homes - management information

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26 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 27, 2020
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Public Health England
Description

This dataset is derived from reports to Public Health England (PHE) of infectious disease outbreaks in care homes. Care homes in this dataset refers to all supported living facilities such as residential homes, nursing homes, rehabilitation units and assisted living units.

The tables in this publication provide the latest management information on suspected or confirmed outbreaks of COVID-19 for upper tier local authorities, lower tier local authorities, government office regions and PHE centres.

Any individual care home will only be included in the dataset once. If a care home has reported more than one outbreak, only the first is included in this dataset.

As the details of an outbreak are investigated data will be subject to revision and the numbers in this dataset may change in future publications.

This dataset contains no indication of whether the reported outbreaks are still active.

Each weekly total refers to reports in the period Monday to the following Sunday.

As the COVID-19 situation in England continues to evolve, the previous report providing management information on care home outbreaks is no longer appropriate. Therefore, this publication ceased on 23 July 2020.

PHE continues to share all relevant case and outbreak data with local authorities and other stakeholders regularly and is developing additional integrated tools to support their ongoing need for intelligence. The COVID-19 surveillance report is published weekly.

If you have any comments or queries email asc@phe.gov.uk .

https://assets.publishing.service.gov.uk/media/5f194e8de90e07456aa7f426/Care_home_outbreaks_of_COVID-19_Management_Information.ods">Care home data weekly updates: 23 July 2020

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