70 datasets found
  1. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Nov 25, 2024
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    Statista (2024). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

    The difficulties of death figures

    This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

    Where are these numbers coming from?

    The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

  2. DCMS Coronavirus Impact Business Survey - Round 2

    • gov.uk
    Updated Sep 23, 2020
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    Department for Digital, Culture, Media & Sport (2020). DCMS Coronavirus Impact Business Survey - Round 2 [Dataset]. https://www.gov.uk/government/statistics/dcms-coronavirus-impact-business-survey-round-2
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    Dataset updated
    Sep 23, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    These are the key findings from the second of three rounds of the DCMS Coronavirus Business Survey. These surveys are being conducted to help DCMS understand how our sectors are responding to the ongoing Coronavirus pandemic. The data collected is not longitudinal as responses are voluntary, meaning that businesses have no obligation to complete multiple rounds of the survey and businesses that did not submit a response to one round are not excluded from response collection in following rounds.

    The indicators and analysis presented in this bulletin are based on responses from the voluntary business survey, which captures organisations responses on how their turnover, costs, workforce and resilience have been affected by the coronavirus (COVID-19) outbreak. The results presented in this release are based on 3,870 completed responses collected between 17 August and 8 September 2020.

    1. Experimental Statistics

    This is the first time we have published these results as Official Statistics. An earlier round of the business survey can be found on gov.uk.

    We have designated these as Experimental Statistics, which are newly developed or innovative statistics. These are published so that users and stakeholders can be involved in the assessment of their suitability and quality at an early stage.

    We expect to publish a third round of the survey before the end of the financial year. To inform that release, we would welcome any user feedback on the presentation of these results to evidence@dcms.gov.uk by the end of November 2020.

    2. Data sources

    The survey was run simultaneously through DCMS stakeholder engagement channels and via a YouGov panel.

    The two sets of results have been merged to create one final dataset.

    Invitations to submit a response to the survey were circulated to businesses in relevant sectors through DCMS stakeholder engagement channels, prompting 2,579 responses.

    YouGov’s business omnibus panel elicited a further 1,288 responses. YouGov’s respondents are part of their panel of over one million adults in the UK. A series of pre-screened information on these panellists allows YouGov to target senior decision-makers of organisations in DCMS sectors.

    3. Quality

    One purpose of the survey is to highlight the characteristics of organisations in DCMS sectors whose viability is under threat in order to shape further government support. The timeliness of these results is essential, and there are some limitations, arising from the need for this timely information:

    • Estimates from the DCMS Coronavirus (COVID-19) Impact Business Survey are currently unweighted (i.e., each business was assigned the same weight regardless of turnover, size or industry) and should be treated with caution when used to evaluate the impact of COVID-19 across the UK economy.
    • Survey responses through DCMS stakeholder comms are likely to contain an element of self-selection bias as those businesses that are more severely negatively affected have a greater incentive to report their experience.
    • Due to time constraints, we are yet to undertake any statistical significance testing or provided confidence intervals

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.

    The responsible statistician for this release is Alex Bjorkegren. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.

    Pre-release access

    The document above contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

  3. Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 23, 2024
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    Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/1111779/coronavirus-death-rate-europe-by-country/
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    Dataset updated
    Jan 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 13, 2023
    Area covered
    Europe
    Description

    As of January 13, 2023, Bulgaria had the highest rate of COVID-19 deaths among its population in Europe at 548.6 deaths per 100,000 population. Hungary had recorded 496.4 deaths from COVID-19 per 100,000. Furthermore, Russia had the highest number of confirmed COVID-19 deaths in Europe, at over 394 thousand.

    Number of cases in Europe During the same period, across the whole of Europe, there have been over 270 million confirmed cases of COVID-19. France has been Europe's worst affected country with around 38.3 million cases, this translates to an incidence rate of approximately 58,945 cases per 100,000 population. Germany and Italy had approximately 37.6 million and 25.3 million cases respectively.

    Current situation In March 2023, the rate of cases in Austria over the last seven days was 224 per 100,000 which was the highest in Europe. Luxembourg and Slovenia both followed with seven day rates of infections at 122 and 108 respectively.

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

    • gov.uk
    Updated Mar 20, 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
    Mar 20, 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.

  5. Number of coronavirus (COVID-19) cases in Europe 2024, by country

    • statista.com
    Updated Dec 9, 2024
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    Statista (2024). Number of coronavirus (COVID-19) cases in Europe 2024, by country [Dataset]. https://www.statista.com/statistics/1104837/coronavirus-cases-europe-by-country/
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    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 24, 2024
    Area covered
    Europe
    Description

    As of November 24, 2024 there were over 274 million confirmed cases of coronavirus (COVID-19) across the whole of Europe since the first confirmed cases in France in January 2020. France has been the worst affected country in Europe with 39,028,437 confirmed cases, followed by Germany with 38,437,756 cases. Italy and the UK have approximately 26.8 million and 25 million cases respectively. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  6. c

    Understanding Society: COVID-19 Study Teaching Dataset, 2020-2021

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
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    University of Essex; University of Manchester (2024). Understanding Society: COVID-19 Study Teaching Dataset, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-9019-1
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Cathie Marsh Institute for Social Research
    Institute for Social and Economic Research
    Authors
    University of Essex; University of Manchester
    Time period covered
    Apr 22, 2020 - Sep 30, 2021
    Area covered
    United Kingdom
    Variables measured
    Families/households, Individuals, National
    Measurement technique
    Self-administered questionnaire: Paper, Telephone interview: Computer-assisted (CATI), Web-based interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    As the UK went into the first lockdown of the COVID-19 pandemic, the team behind the biggest social survey in the UK, Understanding Society (UKHLS), developed a way to capture these experiences. From April 2020, participants from this Study were asked to take part in the Understanding Society COVID-19 survey, henceforth referred to as the COVID-19 survey or the COVID-19 study.

    The COVID-19 survey regularly asked people about their situation and experiences. The resulting data gives a unique insight into the impact of the pandemic on individuals, families, and communities. The COVID-19 Teaching Dataset contains data from the main COVID-19 survey in a simplified form. It covers topics such as

    • Socio-demographics
    • Whether working at home and home-schooling
    • COVID symptoms
    • Health and well-being
    • Social contact and neighbourhood cohesion
    • Volunteering

    The resource contains two data files:

    • Cross-sectional: contains data collected in Wave 4 in July 2020 (with some additional variables from other waves);
    • Longitudinal: Contains mainly data from Waves 1, 4 and 9 with key variables measured at three time points.

    Key features of the dataset

    • Missing values: in the web survey, participants clicking "Next" but not answering a question were given further options such as "Don't know" and "Prefer not to say". Missing observations like these are recorded using negative values such as -1 for "Don't know". In many instances, users of the data will need to set these values as missing. The User Guide includes Stata and SPSS code for setting negative missing values to system missing.
    • The Longitudinal file is a balanced panel and is in wide format. A balanced panel means it only includes participants that took part in every wave. In wide format, each participant has one row of information, and each measurement of the same variable is a different variable.
    • Weights: both the cross-sectional and longitudinal files include survey weights that adjust the sample to represent the UK adult population. The cross-sectional weight (betaindin_xw) adjusts for unequal selection probabilities in the sample design and for non-response. The longitudinal weight (ci_betaindin_lw) adjusts for the sample design and also for the fact that not all those invited to participate in the survey, do participate in all waves.
    • Both the cross-sectional and longitudinal datasets include the survey design variables (psu and strata).

    A full list of variables in both files can be found in the User Guide appendix.

    Who is in the sample?

    All adults (16 years old and over as of April 2020), in households who had participated in at least one of the last two waves of the main study Understanding Society, were invited to participate in this survey. From the September 2020 (Wave 5) survey onwards, only sample members who had completed at least one partial interview in any of the first four web surveys were invited to participate. From the November 2020 (Wave 6) survey onwards, those who had only completed the initial survey in April 2020 and none since, were no longer invited to participate

    The User guide accompanying the data adds to the information here and includes a full variable list with details of measurement levels and links to the relevant questionnaire.


    Main Topics:

    • Socio-demographics;
    • Whether working at home and home-schooling;
    • COVID symptoms;
    • Health and well-being;
    • Social contact and neighbourhood cohesion;
    • Volunteering.

  7. ARCHIVED - Weekly COVID-19 Statistical Data in Scotland

    • dtechtive.com
    • find.data.gov.scot
    csv
    Updated Dec 22, 2022
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    Public Health Scotland (2022). ARCHIVED - Weekly COVID-19 Statistical Data in Scotland [Dataset]. https://dtechtive.com/datasets/19628
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    csv(0.0537 MB), csv(0.0008 MB), csv(0.0535 MB), csv(0.014 MB), csv(0.1093 MB), csv(0.0265 MB), csv(0.0016 MB), csv(0.0022 MB), csv(0.0729 MB), csv(0.0026 MB), csv(0.0038 MB), csv(0.4845 MB), csv(0.0296 MB), csv(0.0126 MB), csv(0.0732 MB), csv(0.0005 MB), csv(0.0553 MB), csv(0.0002 MB), csv(0.0015 MB), csv(0.0348 MB), csv(0.033 MB), csv(0.0304 MB), csv(0.0551 MB), csv(0.0112 MB), csv(0.0037 MB), csv(0.0317 MB), csv(0.109 MB), csv(0.002 MB), csv(0.0192 MB)Available download formats
    Dataset updated
    Dec 22, 2022
    Dataset provided by
    Public Health Scotland
    License

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

    Area covered
    Scotland
    Description

    This open data publication has moved to COVID-19 Statistical Data in Scotland (from 02/11/2022) Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. Clinical presentation may range from mild-to-moderate illness to pneumonia or severe acute respiratory infection. This dataset provides information on demographic characteristics (age, sex, deprivation) of confirmed novel coronavirus (COVID-19) cases, as well as trend data regarding the wider impact of the virus on the healthcare system. Data includes information on primary care out of hours consultations, respiratory calls made to NHS24, contact with COVID-19 Hubs and Assessment Centres, incidents received by Scottish Ambulance Services (SAS), as well as COVID-19 related hospital admissions and admissions to ICU (Intensive Care Unit). Further data on the wider impact of the COVID-19 response, focusing on hospital admissions, unscheduled care and volume of calls to NHS24, is available on the COVID-19 Wider Impact Dashboard. There is a large amount of data being regularly published regarding COVID-19 (for example, Coronavirus in Scotland - Scottish Government and Deaths involving coronavirus in Scotland - National Records of Scotland. Additional data sources relating to this topic area are provided in the Links section of the Metadata below. Information on COVID-19, including stay at home advice for people who are self-isolating and their households, can be found on NHS Inform. All publications and supporting material to this topic area can be found in the weekly COVID-19 Statistical Report. The date of the next release can be found on our list of forthcoming publications. Data visualisation is available to view in the interactive dashboard accompanying the COVID-19 Statistical Report. Please note information on COVID-19 in children and young people of educational age, education staff and educational settings is presented in a new COVID-19 Education Surveillance dataset going forward.

  8. COVID-19 cases worldwide as of May 2, 2023, by country or territory

    • statista.com
    • flwrdeptvarieties.store
    Updated Aug 29, 2023
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    Statista (2023). COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
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    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

    COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

    Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

  9. Death registrations and occurrences by local authority and health board

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 9, 2024
    + more versions
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    Office for National Statistics (2024). Death registrations and occurrences by local authority and health board [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/datasets/deathregistrationsandoccurrencesbylocalauthorityandhealthboard
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    xlsxAvailable download formats
    Dataset updated
    Jan 9, 2024
    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

    Provisional counts of the number of deaths registered in England and Wales, including deaths involving coronavirus (COVID-19), by local authority, health board and place of death in the latest weeks for which data are available. The occurrence tabs in the 2021 edition of this dataset were updated for the last time on 25 October 2022.

  10. Data on COVID-19 visits: schools

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 19, 2021
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    Ofsted (2021). Data on COVID-19 visits: schools [Dataset]. https://www.gov.uk/government/publications/data-on-covid-19-visits-schools
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    Dataset updated
    Feb 19, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ofsted
    Description

    This data shows how many interim visits we carried out in state-funded schools within each local authority, and provides a list of the schools.

    Find out more about our interim visits to schools.

  11. c

    Understanding Society: COVID-19 Study, 2020-2021: Special Licence Access,...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
    + more versions
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    University of Essex (2024). Understanding Society: COVID-19 Study, 2020-2021: Special Licence Access, Census 2011 Lower Layer Super Output Areas [Dataset]. http://doi.org/10.5255/UKDA-SN-8663-7
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Institute for Social and Economic Research
    Authors
    University of Essex
    Time period covered
    Apr 23, 2020 - Sep 30, 2021
    Area covered
    United Kingdom
    Variables measured
    Individuals, Families/households, National
    Measurement technique
    Telephone interview: Computer-assisted (CATI), Web-based interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    Understanding Society (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

    The Understanding Society COVID-19 Study is a regular survey of households in the UK. The aim of the study is to enable research on the socio-economic and health consequences of the COVID-19 pandemic, in the short and long term. The surveys started in April 2020 and took place monthly until July 2020. From September they took place every other month until March 2021 and the final wave was fielded in September 2021. They complement the annual interviews of the Understanding Society study.

    This dataset contains Census 2011 Lower Layer Super Output Areas (LSOA) geographic variables for the Understanding Society COVID-19 study.

    A file is provided for each wave of the Understanding Society COVID-19 study to date, containing the Census 2011 Lower Layer Super Output Areas (LSOA) geographic variable and a personal identification serial number (pidp) for file matching to the main Understanding Society COVID-19 study (SN 8644). There are two types of waves: web waves have a filename postfix of _w and telephone waves have a filename postfix of _t.

    In addition, this study also contains Census 2011 LSOA geographic variables that can be matched to a dataset released with the main Understanding Society COVID-19 study containing data taken from waves 10 and 11 of the main Understanding Society survey, specifically for the respondents in the COVID-19 study. This file is named jk_lsoa11_cv and as well as the LSOA11 geographic variable, it also contains a personal identification serial number (pidp) and a household identification serial number for both wave 10 (j_hidp) and wave 11 (k_hidp). Further details can be found in the Understanding Society COVID-19 User Guide.

    Additional information can be found on the Understanding Society COVID-19 website, including Data documentation. A list of Understanding Society COVID-19 Research Outputs (regularly updated) is also available.

    New edition information
    For the seventh edition (December 2021), the new data file for wave 9 has been deposited.


    Main Topics:

    This dataset contains Census 2011 Lower Layer Super Output Areas (LSOA) geographic variables for use with the Understanding Society COVID-19 study.

  12. Coronavirus (COVID-19) deaths in the UK as of January 12, 2023, by...

    • statista.com
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    Statista, Coronavirus (COVID-19) deaths in the UK as of January 12, 2023, by country/region [Dataset]. https://www.statista.com/statistics/1204630/coronavirus-deaths-by-region-in-the-uk/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 12, 2023
    Area covered
    United Kingdom
    Description

    As of January 12, 2023, COVID-19 has been responsible for 202,157 deaths in the UK overall. The North West of England has been the most affected area in terms of deaths at 28,116, followed by the South East of England with 26,221 coronavirus deaths. Furthermore, there have been 22,264 mortalities in London as a result of COVID-19.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  13. Data on COVID-19 inspections: non-association independent schools

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 18, 2021
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    Ofsted (2021). Data on COVID-19 inspections: non-association independent schools [Dataset]. https://www.gov.uk/government/publications/data-on-covid-19-inspections-non-association-independent-schools
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    Dataset updated
    Feb 18, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ofsted
    Description

    This data shows how many inspections we carried out and provides a list of the schools.

    Find out more about our interim phase inspections of non-association independent schools.

  14. Number of coronavirus (COVID-19) deaths in the United Kingdom (UK) 2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Nov 12, 2024
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    Statista (2024). Number of coronavirus (COVID-19) deaths in the United Kingdom (UK) 2023 [Dataset]. https://www.statista.com/statistics/1109595/coronavirus-mortality-in-the-uk/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    On March 4, 2020, the first death as a result of coronavirus (COVID-19) was recorded in the United Kingdom (UK). The number of deaths in the UK has increased significantly since then. As of January 13, 2023, the number of confirmed deaths due to coronavirus in the UK amounted to 202,157. On January 21, 2021, 1,370 deaths were recorded, which was the highest total in single day in the UK since the outbreak began.

    Number of deaths among highest in Europe
    The UK has had the highest number of deaths from coronavirus in western Europe. In terms of rate of coronavirus deaths, the UK has recorded 297.8 deaths per 100,000 population.

    Cases in the UK The number of confirmed cases of coronavirus in the UK was 24,243,393 as of January 13, 2023. The South East has the highest number of first-episode confirmed cases of the virus in the UK with 3,123,050 cases, while London and the North West have 2,912,859 and 2,580,090 confirmed cases respectively. As of January 16, the UK has had 50 new cases per 100,000 in the last seven days.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  15. h

    openEHR suspected COVID-19 risk assessment.v0

    • ckm.highmed.org
    • ckm.openehr.org
    xml
    Updated Feb 27, 2020
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    (2020). openEHR suspected COVID-19 risk assessment.v0 [Dataset]. https://ckm.highmed.org/ckm/templates/1246.169.687
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    xmlAvailable download formats
    Dataset updated
    Feb 27, 2020
    License

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

    Description

    To record the information required to evaluate the potential risk of Covid-19 infection, as part of professional screening or self-assessment.

    This is based on - The current NHS-111 UK self-assessment app at https://111.nhs.uk/covid-19 - A similar risk assessment app developed for pre-hospital admission by DIPS.no - Public Health England COVID-19: investigation and initial clinical management of possible cases https://www.gov.uk/government/publications/wuhan-novel-coronavirus-initial-investigation-of-possible-cases

    The exact risk factors are subject to continual update as the disease progresses.

    Note that a critical part of the information, exposure locations, has been left open, so as to allow the list to be updated very regularly and in alignment with local or national policy.

    We have decided to leave in 'older' questions such as 'Exposure to birds in China' until such time that we get clear professional guidance that these are no longer necessary or useful.

  16. w

    Data on COVID-19 visits: further education and skills

    • gov.uk
    Updated Feb 17, 2021
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    Ofsted (2021). Data on COVID-19 visits: further education and skills [Dataset]. https://www.gov.uk/government/publications/data-on-covid-19-visits-further-education-and-skills
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    Dataset updated
    Feb 17, 2021
    Dataset provided by
    GOV.UK
    Authors
    Ofsted
    Description

    This data shows how many interim visits we carried out and gives a list of the providers visited.

    Find out more about our interim visits to further education and skills providers.

  17. COVID-19 self-test LFD post market surveillance

    • s3.amazonaws.com
    • gov.uk
    Updated Sep 26, 2024
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    UK Health Security Agency (2024). COVID-19 self-test LFD post market surveillance [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/188/1880256.html
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    Dataset updated
    Sep 26, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    The attachment lists 30 periodic summary reports (PSRs) which were submitted to the Medicines and Healthcare products Regulatory Agency (MHRA) as a post market surveillance condition of the exceptional use authorisation DEU/012/2020/003.

  18. Deaths by vaccination status, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 25, 2023
    + more versions
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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.

  19. COVID-19 vaccination rate in European countries as of January 2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Jul 9, 2024
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    Statista (2024). COVID-19 vaccination rate in European countries as of January 2023 [Dataset]. https://www.statista.com/statistics/1196071/covid-19-vaccination-rate-in-europe-by-country/
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    Dataset updated
    Jul 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    As of January 18, 2023, Portugal had the highest COVID-19 vaccination rate in Europe having administered 272.78 doses per 100 people in the country, while Malta had administered 258.49 doses per 100. The UK was the first country in Europe to approve the Pfizer/BioNTech vaccine for widespread use and began inoculations on December 8, 2020, and so far have administered 224.04 doses per 100. At the latest data, Belgium had carried out 253.89 doses of vaccines per 100 population. Russia became the first country in the world to authorize a vaccine - named Sputnik V - for use in the fight against COVID-19 in August 2020. As of August 4, 2022, Russia had administered 127.3 doses per 100 people in the country.

    The seven-day rate of cases across Europe shows an ongoing perspective of which countries are worst affected by the virus relative to their population. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  20. d

    Understanding Society: COVID-19 Study, 2020-2021: Special Licence Access,...

    • b2find.dkrz.de
    Updated Oct 29, 2023
    + more versions
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    (2023). Understanding Society: COVID-19 Study, 2020-2021: Special Licence Access, Census 2011 Lower Layer Super Output Areas - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/60779475-f0bd-5f46-8968-fb61cbcb4073
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    Dataset updated
    Oct 29, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.Understanding Society (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. The Understanding Society COVID-19 Study is a regular survey of households in the UK. The aim of the study is to enable research on the socio-economic and health consequences of the COVID-19 pandemic, in the short and long term. The surveys started in April 2020 and took place monthly until July 2020. From September they took place every other month until March 2021 and the final wave was fielded in September 2021. They complement the annual interviews of the Understanding Society study. This dataset contains Census 2011 Lower Layer Super Output Areas (LSOA) geographic variables for the Understanding Society COVID-19 study. A file is provided for each wave of the Understanding Society COVID-19 study to date, containing the Census 2011 Lower Layer Super Output Areas (LSOA) geographic variable and a personal identification serial number (pidp) for file matching to the main Understanding Society COVID-19 study (SN 8644). There are two types of waves: web waves have a filename postfix of _w and telephone waves have a filename postfix of _t. In addition, this study also contains Census 2011 LSOA geographic variables that can be matched to a dataset released with the main Understanding Society COVID-19 study containing data taken from waves 10 and 11 of the main Understanding Society survey, specifically for the respondents in the COVID-19 study. This file is named jk_lsoa11_cv and as well as the LSOA11 geographic variable, it also contains a personal identification serial number (pidp) and a household identification serial number for both wave 10 (j_hidp) and wave 11 (k_hidp). Further details can be found in the Understanding Society COVID-19 User Guide. Additional information can be found on the Understanding Society COVID-19 website, including Data documentation. A list of Understanding Society COVID-19 Research Outputs (regularly updated) is also available. New edition information For the seventh edition (December 2021), the new data file for wave 9 has been deposited.

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Statista (2024). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

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166 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 25, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

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