7 datasets found

  1. HMPPS COVID-19 statistics : February 2023

    • gov.uk
    • s3.amazonaws.com
    Updated Mar 10, 2023
    + more versions
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    Ministry of Justice (2023). HMPPS COVID-19 statistics : February 2023 [Dataset]. https://www.gov.uk/government/statistics/hmpps-covid-19-statistics-february-2023
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    Dataset updated
    Mar 10, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The HM Prison and Probation Service (HMPPS) COVID-19 statistics provides monthly data on the HMPPS response to COVID-19. It addresses confirmed cases of the virus in prisons and the Youth Custody Service sites, deaths of those individuals in the care of HMPPS and mitigating action being taken to limit the spread of the virus and save lives.

    Data includes:

    • Deaths where prisoners, children in custody or supervised individuals have died having tested positive for COVID-19 or where there was a clinical assessment that COVID-19 was a contributory factor in their death.

    • Confirmed COVID-19 cases in prisoners and children in custody (i.e. positive tests).

    • Narrative on capacity management data for prisons.

    Pre-release access

    The bulletin was produced and handled by the ministry’s analytical professionals and production staff. For the bulletin pre-release access of up to 24 hours is granted to the following persons:

    Ministry of Justice:

    Lord Chancellor and Secretary of State for Justice; Minister of State for Prisons and Probation; Permanent Secretary; Second Permanent Secretary; Private Secretaries (x6); Deputy Director of Data and Evidence as a Service and Head of Profession, Statistics; Director General for Policy and Strategy Group; Deputy Director Joint COVID 19 Strategic Policy Unit; Head of News; Deputy Head of News and relevant press officers (x2)

    HM Prison and Probation Service:

    Director General Chief Executive Officer; Private Secretary - Chief Executive Officer; Director General Operations; Deputy Director of COVID-19 HMPPS Response; Deputy Director Joint COVID 19 Strategic Policy Unit

    Related links

    Update on COVID-19 in prisons

    Prison estate expanded to protect NHS from coronavirus risk

    Measures announced to protect NHS from coronavirus risk in prisons

  2. Public opinion on the Coronavirus in the UK September 2020

    • statista.com
    Updated Apr 26, 2021
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    Statista (2021). Public opinion on the Coronavirus in the UK September 2020 [Dataset]. https://www.statista.com/statistics/1113721/opinion-towards-the-coronavirus-the-uk/
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    Dataset updated
    Apr 26, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020
    Area covered
    United Kingdom
    Description

    In a weekly survey investigating attitudes towards news about the coronavirus outbreak in the United Kingdom in September 2020, the majority of respondents agreed that the crisis was showing the positive sides of the society, with 69 percent feeling that this was the case. Meanwhile, 32 percent of respondents said they were trying to avoid news about the coronavirus and 40 percent admitted that they found it difficult to determine what is true and what is false in reports on the matter. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  3. HMPPS Weekly COVID-19 data - 7 December 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 11, 2020
    + more versions
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    Ministry of Justice (2020). HMPPS Weekly COVID-19 data - 7 December 2020 [Dataset]. https://www.gov.uk/government/publications/hmpps-weekly-covid-19-data-7-december-2020
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    Dataset updated
    Dec 11, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    Data include COVID-19 related deaths and confirmed cases of COVID-19 in custodial settings among service users.

    Pre-release access

    The bulletin was produced and handled by the ministry’s analytical professionals and production staff. For the bulletin pre-release access of up to 24 hours is granted to the following persons:

    Ministry of Justice:

    Lord Chancellor and Secretary of State for Justice; Minister of State for Prisons and Probation; Permanent Secretary; Minister and Permanent Secretary Private Secretaries (x2); Special Advisors (x2); Director General for Policy and Strategy Group; Deputy Director, Prison and Probation Operational Analysis; Acting Head of Profession, Statistics; Head of Operational Analysis; Head of News; Deputy Head of News and relevant press officer.

    HM Prison and Probation Service:

    Chief Executive Officer; Director General Prisons; Chief Executive and Director General Private Secretaries and Heads of Office (x4); Deputy Director of COVID-19 HMPPS Response; Deputy Director Joint COVID 19 Strategic Policy Unit (x2); Director General of Probation and Wales; Executive Director Probation and Women; Executive Director of Youth Custody Service; Executive Director HMPPS Wales; Executive Director, Performance Directorate; Head of Health, Social Care and Substance Misuse Services; Head of Capacity Management and Custodial Capacity Manager.

    Related links

    Update on COVID-19 in prisons

    Prison estate expanded to protect NHS from coronavirus risk

    Measures announced to protect NHS from coronavirus risk in prisons

  4. Univariate analysis of predictor variables for adverse outcome (derivation...

    • plos.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). Univariate analysis of predictor variables for adverse outcome (derivation cohort). [Dataset]. http://doi.org/10.1371/journal.pone.0245840.t002
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    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0245840.t002
    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

    Univariate analysis of predictor variables for adverse outcome (derivation cohort).

  5. f

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

    • figshare.com
    • plos.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
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0245840.t001
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    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).

  6. Data from: COVID-related tweets in the period between January and May 2020

    • data.niaid.nih.gov
    • datadryad.org
    • +1more
    zip
    Updated Nov 1, 2022
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    Piergiorgio Castioni (2022). COVID-related tweets in the period between January and May 2020 [Dataset]. http://doi.org/10.5061/dryad.bzkh189cc
    Explore at:
    zipAvailable download formats
    Unique identifier
    https://doi.org/10.5061/dryad.bzkh189cc
    Dataset updated
    Nov 1, 2022
    Dataset provided by
    Universidad Rovira i Virgili
    Authors
    Piergiorgio Castioni
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network which reflects the emergence of collective attention towards a topic that rapidly gained universal interest. Here, we characterize the dynamics of this network on Twitter, analysing how unreliable content distributes among its users. We find that a minority of accounts is responsible for the majority of the misinformation circulating online, and identify two categories of users: a few active ones, playing the role of ‘creators’, and a majority playing the role of ‘consumers’. The relative proportion of these groups (approx. 14% creators—86% consumers) appears stable over time: consumers are mostly exposed to the opinions of a vocal minority of creators (which are the origin of 82% of fake content in our data), that could be mistakenly understood as representative of the majority of users. The corresponding pressure from a perceived majority is identified as a potential driver of the ongoing COVID-19 infodemic. Methods The datasets that we used in this work come from the COVID-19 Infodemics Observatory (https://covid19obs.fbk.eu/#/). Tweets associated with the COVID-19 pandemics (coronavirus, ncov, #Wuhan, covid19, COVID-19, SARSCoV2, COVID) have been automatically collected using the Twitter Filter API. It contains 7.7 million retweets in the case of USA, 300 thousand in the case of Italy and 900 thousand in the case of the UK. The time of the collection goes from the 22nd of January to the 22nd of May for the USA, while for Italy and the UK it goes from the 22nd of January to the 2nd of December. For each tweet we specified the ID code as well as the time at which it was created. In this dataset one can also find the tables necessary to reproduce exactly the figures in the paper.

  7. w

    COVID-19 in Northern Ireland: Coronavirus Related Health Inequalities -...

    • gov.uk
    Updated Mar 29, 2023
    + more versions
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    Department of Health (Northern Ireland) (2023). COVID-19 in Northern Ireland: Coronavirus Related Health Inequalities - December 2020 [Dataset]. https://www.gov.uk/government/statistics/covid-19-in-northern-ireland-coronavirus-related-health-inequalities-december-2020
    Explore at:
    Dataset updated
    Mar 29, 2023
    Dataset provided by
    GOV.UK
    Authors
    Department of Health (Northern Ireland)
    Area covered
    Ireland, Northern Ireland
    Description

    This report presents an analysis of coronavirus (COVID-19) related health inequalities relating positive test cases and COVID-19 related admissions between the most and least deprived areas of Northern Ireland. An assessment of variations across age, sex and urban & rural areas is also included.

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Ministry of Justice (2023). HMPPS COVID-19 statistics : February 2023 [Dataset]. https://www.gov.uk/government/statistics/hmpps-covid-19-statistics-february-2023
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HMPPS COVID-19 statistics : February 2023

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 10, 2023
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Ministry of Justice
Description

The HM Prison and Probation Service (HMPPS) COVID-19 statistics provides monthly data on the HMPPS response to COVID-19. It addresses confirmed cases of the virus in prisons and the Youth Custody Service sites, deaths of those individuals in the care of HMPPS and mitigating action being taken to limit the spread of the virus and save lives.

Data includes:

  • Deaths where prisoners, children in custody or supervised individuals have died having tested positive for COVID-19 or where there was a clinical assessment that COVID-19 was a contributory factor in their death.

  • Confirmed COVID-19 cases in prisoners and children in custody (i.e. positive tests).

  • Narrative on capacity management data for prisons.

Pre-release access

The bulletin was produced and handled by the ministry’s analytical professionals and production staff. For the bulletin pre-release access of up to 24 hours is granted to the following persons:

Ministry of Justice:

Lord Chancellor and Secretary of State for Justice; Minister of State for Prisons and Probation; Permanent Secretary; Second Permanent Secretary; Private Secretaries (x6); Deputy Director of Data and Evidence as a Service and Head of Profession, Statistics; Director General for Policy and Strategy Group; Deputy Director Joint COVID 19 Strategic Policy Unit; Head of News; Deputy Head of News and relevant press officers (x2)

HM Prison and Probation Service:

Director General Chief Executive Officer; Private Secretary - Chief Executive Officer; Director General Operations; Deputy Director of COVID-19 HMPPS Response; Deputy Director Joint COVID 19 Strategic Policy Unit

Related links

Update on COVID-19 in prisons

Prison estate expanded to protect NHS from coronavirus risk

Measures announced to protect NHS from coronavirus risk in prisons

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