100+ datasets found
  1. Share of people watching the daily Government briefing in the UK March-June...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of people watching the daily Government briefing in the UK March-June 2020 [Dataset]. https://www.statista.com/statistics/1111869/government-coronavirus-briefing-audience-uk/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020 - Jun 2020
    Area covered
    United Kingdom
    Description

    The UK Government has been holding daily press briefings in order to provide updates on the coronavirus (COVID-19) pandemic and outline any new measures being put in place to deal with the outbreak. Boris Johnson announced that the UK would be going into lockdown in a broadcast on March 23 which was watched live by more than half of the respondents to a daily survey. On June 28, just ** percent of respondents said they had not watched or read about the previous day's briefing. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  2. Coronavirus briefing, situation report 21 October 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 26, 2020
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    Department of Health and Social Care (2020). Coronavirus briefing, situation report 21 October 2020 [Dataset]. https://www.gov.uk/government/publications/coronavirus-briefing-situation-report-21-october-2020
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    Dataset updated
    Oct 26, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department of Health and Social Care
    Description

    Data slides on the coronavirus (COVID-19) situation in Warrington.

  3. Z

    COVID-19 Press Briefings Corpus

    • data.niaid.nih.gov
    • live.european-language-grid.eu
    • +1more
    Updated Jun 2, 2020
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    Chatsiou, Kakia (2020). COVID-19 Press Briefings Corpus [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3872416
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    Dataset updated
    Jun 2, 2020
    Dataset provided by
    University of Essex
    Authors
    Chatsiou, Kakia
    License

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

    Description

    The Coronavirus (COVID-19) Press Briefings Corpus is a work in progress to collect and present in a machine readable text dataset of the daily briefings from around the world by government authorities. During the peak of the pandemic, most countries around the world informed their citizens of the status of the pandemic (usually involving an update on the number of infection cases, number of deaths) and other policy-oriented decisions about dealing with the health crisis, such as advice about what to do to reduce the spread of the epidemic.

    Usually daily briefings did not occur on a Sunday.

    At the moment the dataset includes:

    UK/England: Daily Press Briefings by UK Government between 12 March 2020 - 01 June 2020 (70 briefings in total)

    Scotland: Daily Press Briefings by Scottish Government between 3 March 2020 - 01 June 2020 (76 briefings in total)

    Wales: Daily Press Briefings by Welsh Government between 23 March 2020 - 01 June 2020 (56 briefings in total)

    Northern Ireland: Daily Press Briefings by N. Ireland Assembly between 23 March 2020 - 01 June 2020 (56 briefings in total)

    World Health Organisation: Press Briefings occuring usually every 2 days between 22 January 2020 - 01 June 2020 (63 briefings in total)

    More countries will be added in due course, and we will be keeping this updated to cover the latest daily briefings available.

    The corpus is compiled to allow for further automated political discourse analysis (classification).

  4. Coronavirus England briefing, 11 February 2021

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 11, 2021
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    Department of Health and Social Care (2021). Coronavirus England briefing, 11 February 2021 [Dataset]. https://www.gov.uk/government/publications/coronavirus-england-briefing-11-february-2021
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    Dataset updated
    Feb 11, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department of Health and Social Care
    Description

    The data includes:

    • case rate per 100,000 population

    • case rate per 100,000 population aged 60 years and over

    • percentage change in case rate per 100,000 from previous week

    • percentage of individuals tested positive

    • number of individuals tested per 100,000

    • number of deaths within 28 days of positive COVID-19 test

    • NHS pressures by Sustainability and Transformation Partnership (STP)

    See the detailed data on https://www.england.nhs.uk/statistics/statistical-work-areas/covid-19-hospital-activity/">hospital activity.

    See the https://coronavirus.data.gov.uk/?_ga=2.108721154.1297948817.1612958412-1961839927.1610968060">detailed data on the progress of the coronavirus pandemic. This includes the number of people testing positive, case rates and deaths within 28 days of positive test by upper tier local authority.

    See the latest lower-tier local authority watchlist. This includes epidemiological charts containing case numbers, case rates, persons tested and positivity at lower-tier local authority level.

  5. COVID-19: socio-economic risk factors briefing - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 4, 2020
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    ckan.publishing.service.gov.uk (2020). COVID-19: socio-economic risk factors briefing - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/covid-19-socio-economic-risk-factors-briefing
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    Dataset updated
    Jun 4, 2020
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Coronavirus affects some members of the population more than others. Emerging evidence suggests that older people, men, people with health conditions such as respiratory and pulmonary conditions, and people of a Black, Asian Minority Ethnic (BAME) background are at particular risk. There are also a number of other wider public health risk factors that have been found to increase the likelihood of an individual contracting coronavirus. This briefing presents descriptive evidence on a range of these factors, seeking to understand at a London-wide level the proportion of the population affected by each.

  6. DCMO coronavirus briefing, situation report 14 to 15 October 2020

    • s3.amazonaws.com
    • gov.uk
    Updated Oct 15, 2020
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    Department of Health and Social Care (2020). DCMO coronavirus briefing, situation report 14 to 15 October 2020 [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/166/1665572.html
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    Dataset updated
    Oct 15, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department of Health and Social Care
    Description

    Data slides on the coronavirus (COVID-19) situation in:

    • Lancashire
    • Greater Manchester
    • London
  7. Coronavirus England briefing, 22 January 2021

    • gov.uk
    • s3.amazonaws.com
    Updated Jan 22, 2021
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    Department of Health and Social Care (2021). Coronavirus England briefing, 22 January 2021 [Dataset]. https://www.gov.uk/government/publications/coronavirus-england-briefing-22-january-2021
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    Dataset updated
    Jan 22, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department of Health and Social Care
    Area covered
    England
    Description

    The data includes:

    • case rate per 100,000 population

    • case rate per 100,000 population aged 60 years and over

    • percentage change in case rate per 100,000 from previous week

    • number of people tested and weekly positivity

    • NHS pressures by Sustainability and Transformation Partnership (STP)

    More detailed epidemiological charts and graphs are presented for areas in very high and high local COVID alert level areas.

    See the https://www.england.nhs.uk/statistics/statistical-work-areas/covid-19-hospital-activity/">detailed data on hospital activity.

    See the https://coronavirus.data.gov.uk/?_ga=2.188337198.720307617.1611233387-1961839927.1610968060">detailed data on the progress of the coronavirus pandemic.

    Published 22 January 2021

  8. Coronavirus Source Data (COVID-19) Daily reports

    • kaggle.com
    zip
    Updated Mar 12, 2020
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    Yassine Hamdaoui (2020). Coronavirus Source Data (COVID-19) Daily reports [Dataset]. https://www.kaggle.com/yassinehamdaoui1/coronavirus-source-data-covid19-daily-reports
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    zip(22189 bytes)Available download formats
    Dataset updated
    Mar 12, 2020
    Authors
    Yassine Hamdaoui
    License

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

    Description

    Context

    On January 30, 2020, the International Health Regulations Emergency Committee of the World Health Organization declared the outbreak a public health emergency of international concern (PHEIC). On January 31, 2020, Health and Human Services Secretary Alex M. Azar II declared a public health emergency (PHE) for the United States to aid the nation’s healthcare community in responding to COVID-19. On March 11, 2020 WHO publicly characterized COVID-19 as a pandemic.

    Content

    The data files present the total confirmed cases, total deaths and daily new cases and deaths by country. This data is sourced from the World Health Organization (WHO) Situation Reports (which you find here). The WHO Situation Reports are published daily [reporting data as of 10am (CET; Geneva time)]. The main section of the Situations Reports are long tables of the latest number of confirmed cases and confirmed deaths by country.

    This dataset has five files : - total_cases.csv : Total confirmed cases - total_deaths.csv : Total deaths - new_cases.csv : New confirmed cases - new_deathes.csv : New deaths - full_data.csv : put it all files together

    Acknowledgements

    This dataset is sourced from WHO and confirmed by OurworldInData Special Thank to Hannah Ritchie that did a great reports explaining those datasets.

    Inspiration

    Insights on - Confirmed cases is what we do know - Confirmed COVID-19 cases by country - How we can make preventive measures - Growth of cases: How long did it take for the number of confirmed cases to double? - Understanding exponential growth - Try to predict the spread of COVID-19 ahead of time .

  9. Briefing: Demographic impact of Covid-19 - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated May 21, 2020
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    ckan.publishing.service.gov.uk (2020). Briefing: Demographic impact of Covid-19 - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/briefing-demographic-impact-of-covid-19
    Explore at:
    Dataset updated
    May 21, 2020
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    This briefing brings together a range of data published on the demographic impact of Covid19 to understand how the city has been affected, covering what is known about Covid-19 cases, before looking at mortality. It provides comparisons with other cities and explains some of the issues which affect the accuracy of such comparisons. And it summarises the emerging evidence of unequal impacts for different demographic groups, especially ethnicity and workers in particular occupations.

  10. g

    Briefing: Demographic impact of Covid-19 | gimi9.com

    • gimi9.com
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    Briefing: Demographic impact of Covid-19 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_briefing-demographic-impact-of-covid-19/
    Explore at:
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This briefing brings together a range of data published on the demographic impact of Covid19 to understand how the city has been affected, covering what is known about Covid-19 cases, before looking at mortality. It provides comparisons with other cities and explains some of the issues which affect the accuracy of such comparisons. And it summarises the emerging evidence of unequal impacts for different demographic groups, especially ethnicity and workers in particular occupations.

  11. G

    Briefing package for a Committee of the Whole on COVID-19 and for the...

    • open.canada.ca
    pdf
    Updated Nov 20, 2024
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    Indigenous Services Canada (2024). Briefing package for a Committee of the Whole on COVID-19 and for the Special Committee on the COVID-19 Pandemic - Minister of Indigenous Services [Dataset]. https://open.canada.ca/data/en/dataset/3341f24b-4e18-4b6e-a8e7-b99d90834a48
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Indigenous Services Canadahttp://www.sac-isc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 20, 2020 - Apr 29, 2020
    Description

    The briefing materials below were initially prepared for the Minister of Indigenous Services for Committee of the Whole on April 20, 2020. These materials were subsequently updated for appearances by the Minister at additional Committees of the Whole and meetings of the Special Committee on the COVID-19 Pandemic that were held between April 29 and June 18, 2020. Briefing materials on the Northern portfolio are included when the Minister of Indigenous Services intervened on behalf of the Minister of Northern Affairs. Appearance dates: April 20, 28 (COVI Committee #1, no updates) and 29. May 5 (COVI Committee #3, no updates), 6, 12, 14, 20, 25 (Committee of the Whole, no updates). June 3, 11, 16 and 17.

  12. e

    Socio-economic impact of COVID-19

    • data.europa.eu
    unknown
    Updated Aug 5, 2020
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    (2020). Socio-economic impact of COVID-19 [Dataset]. https://data.europa.eu/data/datasets/2zpyn?locale=en
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    unknownAvailable download formats
    Dataset updated
    Aug 5, 2020
    Description
    • This briefing presents evidence on the socio-economic impact of COVID-19 on London and Londoners​
    • Topics included in the briefing focus on recent data releases published in the preceding months that tell us how social policy issues are evolving in London since the start of the COVID-19 pandemic

    For more on the health and demographic impacts see the Demographic Impact Briefing and for labour market impacts see Labour Market Analysis. A page linking to all Covid-19 related data and analyses can be found here.

  13. g

    Briefing package for a Committee of the Whole on COVID-19 and for the...

    • gimi9.com
    + more versions
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    Briefing package for a Committee of the Whole on COVID-19 and for the Special Committee on the COVID-19 Pandemic - Minister of Northern Affairs | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_604a8446-0512-40b1-b2e5-5252118afaa7
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    Description

    The briefing materials prepared for the Minister of Northern Affairs for the Special Committee on the COVID-19 pandemic and Committees of the Whole related to the pandemic included Question Period notes that were published December 13, 2019, and May 26, 2020. These materials were subsequently updated for appearances by the Minister at Committees of the Whole and meetings of the Special Committee on the COVID-19 Pandemic that were held between May 14 and June 18, 2020. Briefing materials on the Indigenous Services or Crown-Indigenous Relations portfolios are included when the Minister of Northern Affairs intervened on behalf of the Minister of Indigenous Services or Minister of Crown-Indigenous Relations. Appearance dates: April 29, May 6, 14, 21 (no updates, COVI Committee 11), June 9, 18 (no updates, COVI Committee 25).

  14. P

    Pacific Statistical/Economic Briefing: COVID-19 Economic Impacts - Quarter...

    • pacificdata.org
    pdf
    Updated Sep 3, 2021
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    SPC Statistics for Development Division (SDD) (2021). Pacific Statistical/Economic Briefing: COVID-19 Economic Impacts - Quarter 1, 2020 [Dataset]. https://pacificdata.org/data/dataset/activity/oai-www-spc-int-154fe9f7-01f4-407a-95b9-8d9ad66c0bdf
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 3, 2021
    Dataset provided by
    SPC Statistics for Development Division (SDD)
    Description

    Pacific Statistical/Economic Briefing: COVID-19 Economic Impacts - Quarter 1, 2020. Noumea, New Caledonia: Pacific Community. 6 p.

  15. Covid19 US Lockdown Dates Dataset

    • kaggle.com
    zip
    Updated Apr 22, 2020
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    Sloth (2020). Covid19 US Lockdown Dates Dataset [Dataset]. https://www.kaggle.com/lin0li/us-lockdown-dates-dataset
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    zip(1721 bytes)Available download formats
    Dataset updated
    Apr 22, 2020
    Authors
    Sloth
    Area covered
    United States
    Description

    Context & Content

    Information is from this NYTimes article.

    Date of when is each state / county's stay-at-home order becomes effective as a result of the covid-19 pandemic. This dataset is updated daily as more states & counties issue stay-at-home order.

    Currently there are at least 42 states with orders to stay home. Last updated on Apr 07, 2020.

    See Data in Action

    I have built a covid-19 tracking dashboard using this & other datasets here. This dashboard is updated daily. All feedback is welcome!

    Column Description

    • Country - country
    • State - state
    • County - county is "" if the stay-at-home order is effective state-wide; otherwise county shows the counties/regions in that state with stay at home orders.
    • Date - date of when the stay-at-home order becomes effective
    • Type - type of the stay-at-home order

    Acknowledgements

  16. g

    Briefing Binder for Minister of Health - Appearance before Standing Senate...

    • gimi9.com
    Updated Jun 26, 2022
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    (2022). Briefing Binder for Minister of Health - Appearance before Standing Senate Committee on Social Affairs, Science and Technology: Study of Bill C-10 (COVID-19) | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_7b4ce0ce-9b19-4ec7-a4ec-d3bc1618e712/
    Explore at:
    Dataset updated
    Jun 26, 2022
    Description

    Briefing Binder for Minister of Health's March 2, 2022 appearance before Standing Senate Committee on Social Affairs, Science and Technology concerning the study of Bill C-10 (COVID-19)

  17. d

    COVID-19 Cases and Deaths by Gender - ARCHIVE

    • catalog.data.gov
    • data.ct.gov
    Updated Aug 12, 2023
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    data.ct.gov (2023). COVID-19 Cases and Deaths by Gender - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/covid-19-cases-and-deaths-by-gender
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    data.ct.gov
    Description

    Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve. The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj. The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 . The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 . The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed. COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken down by gender. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the daily COVID-19 update. Data on Connecticut deaths were obtained from the Connecticut Deaths Registry maintained by the DPH Office of Vital Records. Cause of death was determined by a death certifier (e.g., physician, APRN, medical examiner) using their best clinical judgment. Additionally, all COVID-19 deaths, including suspected or related, are required to be reported to OCME. On April 4, 2020, CT DPH and OCME released a joint memo to providers and facilities within Connecticut providing guidelines for certifying deaths due to COVID-19 that were consistent with the CDC’s guidelines and a reminder of the required reporting to OCME.25,26 As of July 1, 2021, OCME had reviewed every case reported and performed additional investigation on about one-third of reported deaths to better ascertain if COVID-19 did or did not cause or contribute to the death. Some of these investigations resulted in the OCME performing postmortem swabs for PCR testing on individuals whose deaths were suspected to be due to COVID-19, but antemortem diagnosis was unable to be made.31 The OCME issued or re-issued about 10% of COVID-19 death certificates and, when appropriate, removed COVID-19 from the death certificate. For standardization and tabulation of mortality statistics, written cause of death statements made by the certifiers on death certificates are sent to the National Center for Health Statistics (NCHS) at the CDC which assigns cause of death codes according to the International Causes of Disease 10th Revision (ICD-10) classification system.25,26 COVID-19 deaths in this report are defined as those for which the death certificate has an ICD-10 code of U07.1 as either a primary (underlying) or a contributing cause of death. More information on COVID-19 mortality can be found at the following link: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Mortality/Mortality-Statistics Data are reported daily, with timestamps indicated in the daily briefings posted at: portal.ct.gov/coronavirus. Data are subject to future revision as reporting changes. Starting in Ju

  18. P

    COVID-19 economic lead indicators

    • pacificdata.org
    • pacific-data.sprep.org
    csv
    Updated Jan 10, 2024
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    SPC (2024). COVID-19 economic lead indicators [Dataset]. https://pacificdata.org/data/dataset/covid-19-economic-lead-indicators-df-ecolead
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    csvAvailable download formats
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    SPC
    Time period covered
    Jan 1, 2019 - Sep 30, 2022
    Description

    Quarterly data associated with Pacific statistical/economic briefing of COVID-19 economic impact.

    Find more Pacific data on PDH.stat.

  19. G

    Briefing Package for the Standing Committee on Public Accounts on Report 10—...

    • open.canada.ca
    html
    Updated Nov 20, 2024
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    Office of the Auditor General of Canada (2024). Briefing Package for the Standing Committee on Public Accounts on Report 10— Specific COVID-19 Benefits (other than CEWS) of the Office of the Auditor General of Canada [Dataset]. https://open.canada.ca/data/info/bd509e73-ee44-4b43-aedd-ad2e61dfec0e
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Office of the Auditor General of Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Briefing Package for the Standing Committee on Public Accounts on Report 10— Specific COVID-19 Benefits (other than CEWS) of the Office of the Auditor General of Canada

  20. Replication dataset and calculations for PIIE PB 20-9, When more delivers...

    • piie.com
    Updated Jun 25, 2020
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    Jérémie Cohen-Setton; Jean Pisani-Ferry (2020). Replication dataset and calculations for PIIE PB 20-9, When more delivers less: Comparing the US and French COVID-19 crisis responses, by Jérémie Cohen-Setton and Jean Pisani-Ferry. (2020). [Dataset]. https://www.piie.com/publications/policy-briefs/when-more-delivers-less-comparing-us-and-french-covid-19-crisis
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    Dataset updated
    Jun 25, 2020
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Jérémie Cohen-Setton; Jean Pisani-Ferry
    Area covered
    United States
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in When more delivers less: Comparing the US and French COVID-19 crisis responses, PIIE Policy Brief 20-9. If you use the data, please cite as: Cohen-Setton, Jérémie, and Jean Pisani-Ferry. (2020). When more delivers less: Comparing the US and French COVID-19 crisis responses. PIIE Policy Brief 20-9. Peterson Institute for International Economics.

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Statista (2025). Share of people watching the daily Government briefing in the UK March-June 2020 [Dataset]. https://www.statista.com/statistics/1111869/government-coronavirus-briefing-audience-uk/
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Share of people watching the daily Government briefing in the UK March-June 2020

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 2020 - Jun 2020
Area covered
United Kingdom
Description

The UK Government has been holding daily press briefings in order to provide updates on the coronavirus (COVID-19) pandemic and outline any new measures being put in place to deal with the outbreak. Boris Johnson announced that the UK would be going into lockdown in a broadcast on March 23 which was watched live by more than half of the respondents to a daily survey. On June 28, just ** percent of respondents said they had not watched or read about the previous day's briefing. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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