47 datasets found
  1. Impact of coronavirus on the living situation of health workers in the UK...

    • statista.com
    Updated Nov 30, 2023
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    Impact of coronavirus on the living situation of health workers in the UK April 2020 [Dataset]. https://www.statista.com/statistics/1111288/living-situation-of-health-workers-during-covid-19-in-the-uk/
    Explore at:
    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    As of April 2020, the coronavirus (COVID-19) outbreak has affected, in some way, the living arrangements of around a third of healthcare professionals in the United Kingdom (UK). 12 percent of healthcare professionals still live in their home, but avoid contact with other members of their household, while three percent have had another member of the household live away from home due to coronavirus.

    The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  2. Personal health concerns of healthcare workers during COVID-19 in the UK...

    • flwrdeptvarieties.store
    • statista.com
    Updated Dec 20, 2023
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    Statista Research Department (2023). Personal health concerns of healthcare workers during COVID-19 in the UK 2020 [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F6112%2Fcoronavirus-covid-19-in-the-uk%2F%23zUpilBfjadnZ6q5i9BcSHcxNYoVKuimb
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    In April 2020, a survey of healthcare workers in the United Kingdom (UK) found that majority are worried about their personal health as well as the health of those they live with during the coronavirus (COVID-19) outbreak. 28 percent of healthcare workers reported to be very worried about their personal health, while 37 percent were very worried about the health of those in their household.

    The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  3. Coronavirus and the impact on household finances and living standards

    • s3.amazonaws.com
    • gov.uk
    Updated Sep 13, 2021
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    Office for National Statistics (2021). Coronavirus and the impact on household finances and living standards [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/175/1752071.html
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    Dataset updated
    Sep 13, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  4. Safety measures at live events after COVID-19 lockdown in the UK and Ireland...

    • statista.com
    Updated Dec 5, 2024
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    Statista (2024). Safety measures at live events after COVID-19 lockdown in the UK and Ireland 2020 [Dataset]. https://www.statista.com/statistics/1130813/event-audience-safety-perception-uk-ireland/
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    Dataset updated
    Dec 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 16, 2020 - May 27, 2020
    Area covered
    United Kingdom, Ireland
    Description

    According to a survey run between April and May 2020 in the United Kingdom and Ireland, a majority of audiences would feel comfortable going to an event again if a limit on the number of attendees was imposed and they didn't have to stand in long queues. Roughly 66 percent also claimed they would feel safe attending if seats were spaced at least 2 meters apart, while nearly 59 percent would like hand sanitizer to be provided.

  5. E

    COVID-19 POLISH-GOV dataset v2. Bilingual (EN-UK)

    • live.european-language-grid.eu
    tmx
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    COVID-19 POLISH-GOV dataset v2. Bilingual (EN-UK) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/21112
    Explore at:
    tmxAvailable download formats
    License

    https://elrc-share.eu/terms/openUnderPSI.htmlhttps://elrc-share.eu/terms/openUnderPSI.html

    Area covered
    United Kingdom
    Description

    Bilingual (EN-UK) COVID-19-related corpus acquired from the portal (https://www.gov.pl/) of the Polish Government (8th May 2020)

  6. Coronavirus and vaccination rates in adults by socio-demographic...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Mar 27, 2023
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    Office for National Statistics (2023). Coronavirus and vaccination rates in adults by socio-demographic characteristic and occupation, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthinequalities/datasets/coronavirusandvaccinationratesinadultsbysociodemographiccharacteristicandoccupationengland
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    xlsxAvailable download formats
    Dataset updated
    Mar 27, 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

    Coronavirus (COVID-19) vaccination rates among adults who live in England, including estimates by socio-demographic characteristic and Standard Occupational Classification (SOC) 2020

  7. Coronavirus and the social impacts of ‘long COVID’ on people’s lives in...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 21, 2021
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    Office for National Statistics (2021). Coronavirus and the social impacts of ‘long COVID’ on people’s lives in Great Britain [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/datasets/coronavirusandthesocialimpactsoflongcovidonpeopleslivesingreatbritain
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    xlsxAvailable download formats
    Dataset updated
    Jul 21, 2021
    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

    Area covered
    United Kingdom
    Description

    Estimates to understand the potential impact of long COVID on adults in Great Britain between April and June 2021, including estimates by age, sex, disability, and deprivation. Analysis based on the Opinions and Lifestyle Survey.

  8. 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.

  9. Ways in which the coronavirus pandemic has affected lives in Great Britain...

    • statista.com
    Updated Jun 9, 2020
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    Statista (2020). Ways in which the coronavirus pandemic has affected lives in Great Britain May 2020 [Dataset]. https://www.statista.com/statistics/1121527/impact-of-covid-19-on-peoples-lives-in-great-britain/
    Explore at:
    Dataset updated
    Jun 9, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 14, 2020 - May 17, 2020
    Area covered
    United Kingdom
    Description

    As of May 2020, nearly 65 percent of survey respondents in Great Britain reported their freedom and independence had been affected by the coronavirus pandemic and subsequent lockdown. A further 58 percent said their personal travel plans had been affected due to the crisis, and 54 percent said it had also meant they were unable to make future plans. The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  10. c

    Listening to Young Lives at Work: COVID-19 Phone Survey Calls 1-5...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
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    Favara, M., University of Oxford; Porter, C.; Penny, M.; Tuc, L.; Revathi, E.; Sanchez, A.; Woldehanna, T. (2024). Listening to Young Lives at Work: COVID-19 Phone Survey Calls 1-5 Constructed Files, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-9070-1
    Explore at:
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Grupo de Analisis para el Desarollo
    Lancaster University
    Department of International Development
    Policy Studies Institute
    Instituto de Investigacion Nutricional
    Centre for Economic and Social Studies
    Vietnam Academy of Social Sciences
    Authors
    Favara, M., University of Oxford; Porter, C.; Penny, M.; Tuc, L.; Revathi, E.; Sanchez, A.; Woldehanna, T.
    Time period covered
    Jun 1, 2020 - Dec 31, 2021
    Area covered
    India, Vietnam, Peru, Ethiopia
    Variables measured
    Individuals, Cross-national
    Measurement technique
    Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The study is being conducted in Ethiopia, India, Peru and Vietnam and has tracked the lives of 12,000 children over a 20-year period, through 5 (in-person) survey rounds (Round 1-5) and, with the latest survey round (Round 6) conducted over the phone in 2020 and 2021 as part of the Listening to Young Lives at Work: COVID-19 Phone Survey.
    Round 1 of Young Lives surveyed two groups of children in each country, at 1 year old and 5 years old. Round 2 returned to the same children who were then aged 5 and 12 years old. Round 3 surveyed the same children again at aged 7-8 years and 14-15 years, Round 4 surveyed them at 12 and 19 years old, and Round 5 surveyed them at 15 and 22 years old. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves.

    The 2020 phone survey consists of three phone calls (Call 1 administered in June-July 2020; Call 2 in August-October 2020 and Call 3 in November-December 2020) and the 2021 phone survey consists of two additional phone calls (Call 4 in August 2021 and Call 5 in October-December 2021) The calls took place with each Young Lives respondent, across both the younger and older cohort, and in all four study countries (reaching an estimated total of around 11,000 young people).
    The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.

    Further information about the survey, including publications, can be downloaded from the Young Lives website.

    The Listening to Young Lives at Work: COVID-19 Phone Survey Calls 1-5 Constructed Files, 2020-2021 includes variables collected consistently across the 5 phone calls. One main constructed data file is available for each of the four countries. These are presented in a panel format and contain 96 original and constructed variables, with the majority comparable across all five calls.

    Users should refer to documentation available for the main Listening to Young Lives at Work: COVID-19 Phone Survey studies available under SN 8678 (Calls 1-3) and SN 9008 (Calls 4-5). A user guide for this study will be added at a later date.


    Main Topics:

    The constructed data files include information on the following:

    • general demographic characteristics
    • household characteristics
    • impact of COVID-19 pandemic
    • dwelling characteristics
    • economic activity

  11. Attendance in education and early years settings during the coronavirus...

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 26, 2022
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    Department for Education (2022). Attendance in education and early years settings during the coronavirus (COVID-19) pandemic: 23 March 2020 to 21 July 2022 [Dataset]. https://www.gov.uk/government/statistics/attendance-in-education-and-early-years-settings-during-the-coronavirus-covid-19-pandemic-23-march-2020-to-21-july-2022
    Explore at:
    Dataset updated
    Jul 26, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    The data on Explore Education Statistics shows attendance in education settings since Monday 23 March 2020, and in early years settings since Thursday 16 April 2020. The summary explains the responses for a set time frame.

    The data is collected from a daily education settings status form and a monthly local authority early years survey.

    Previously published data on attendance in education and early years settings during the coronavirus (COVID-19) pandemic is also available.

  12. Coronavirus and vaccination rates in people aged 50 years and over by...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Dec 24, 2021
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    Office for National Statistics (2021). Coronavirus and vaccination rates in people aged 50 years and over by socio-demographic characteristic, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthinequalities/datasets/coronavirusandvaccinationratesinpeopleaged50yearsandoverbysociodemographiccharacteristicengland
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Dec 24, 2021
    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

    First, second, third dose and booster COVID-19 vaccination rates among people aged 50 years and older who live in England, including estimates by socio-demographic characteristic.

  13. Weekly Statistics for NHS Test and Trace (England): 17 to 23 March 2022

    • s3.amazonaws.com
    • gov.uk
    Updated Mar 31, 2022
    + more versions
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    UK Health Security Agency (2022). Weekly Statistics for NHS Test and Trace (England): 17 to 23 March 2022 [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/180/1800224.html
    Explore at:
    Dataset updated
    Mar 31, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    Note: Routine contact tracing in England ended on 24 February 2022 in line with the government’s plan for living with COVID-19. Therefore, the regional contact tracing data has not been updated beyond week ending 23 February 2022.

    The data reflects the NHS Test and Trace operation in England since its launch on 28 May 2020.

    This includes 2 weekly reports:

    1. NHS Test and Trace statistics:

    • people tested for coronavirus (COVID-19)
    • people testing positive for COVID-19
    • time taken for test results to become available
    • people transferred to the contact tracing system and the time taken for them to be reached
    • close contacts identified for cases managed and not managed by local health protection teams (HPTs), and time taken for them to be reached

    2. Rapid asymptomatic testing statistics: number of lateral flow device (LFD) tests reported by test result.

    There are 4 sets of data tables accompanying the reports.

  14. E

    COVID-19 - HEALTH Wikipedia dataset. Bilingual (EN-UK)

    • live.european-language-grid.eu
    tmx
    + more versions
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    COVID-19 - HEALTH Wikipedia dataset. Bilingual (EN-UK) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/3528
    Explore at:
    tmxAvailable download formats
    License

    Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Bilingual (EN-UK) corpus acquired from Wikipedia on health and COVID-19 domain (2nd May 2020)

  15. c

    ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
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    Office for National Statistics (2024). ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access [Dataset]. http://doi.org/10.5255/UKDA-SN-8635-11
    Explore at:
    Dataset updated
    Nov 29, 2024
    Authors
    Office for National Statistics
    Time period covered
    Jan 1, 2019 - Dec 31, 2023
    Area covered
    United Kingdom
    Variables measured
    Individuals, Families/households, National
    Measurement technique
    Telephone interview, Self-administered questionnaire: Web-based (CAWI), Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Opinions and Lifestyle Survey (OPN) is an omnibus survey that collects data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).

    Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules.

    The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain.

    From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers.

    In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access. Other Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093).

    From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable.

    The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.


    ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access

    The aim of the COVID-19 Module within this study was to help understand the impact of the coronavirus (COVID-19) pandemic on people, households and communities in Great Britain. It was a weekly survey initiated in March 2020, and since August 2021, as COVID-19 restrictions were lifted, the survey has moved to fortnightly data collection, sampling around 5,000 households in each survey wave. The study allows the breakdown of impacts by at-risk age, gender and underlying health condition. The samples are randomly selected from those that had previously completed other ONS surveys (e.g., Labour Market Survey, Annual Population Survey). From each household, one adult is randomly selected but with unequal probability: younger people are given a higher selection probability than older people because of under-estimation in the samples available for the survey.

    The study also includes data for the Internet Access Module from 2019 onwards. Data from this module for previous years are available as End User Licence studies within GN 33441. Also included are data from the Winter Lifestyle Survey for January and February 2023.

    Latest edition information

    For the eleventh edition (March 2024), data and documentation for the main OPN survey for waves DN (June 2023) to EB (December 2023) have been added. Data and documentation for the Winter Lifestyle Survey for January-February 2023 have also been added.


    Main Topics:
    Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month.

    The questions and topics covered by the main OPN survey have changed over time. Topics covered have included:

    • health conditions
    • concerns about work
    • working from home
    • understanding information about COVID-19
    • actions undertaken to prevent the spread of the virus
    • coping whilst staying at home and community support networks
    • indicators of well-being and loneliness
    • ways pandemic has effected life, work and finances
    • caring responsibilities
    • returning to school or college
    • leaving home
    • modes of transport used
    • cost of living
    • problems with companies
    • vaccinations
    • individual characteristics (e.g., age, gender, health conditions, qualifications, ethnicity, employment,...

  16. E

    COVID-19 UDSC-PL dataset. Bilingual (EN-UK)

    • live.european-language-grid.eu
    tmx
    Updated Jul 5, 2020
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    (2020). COVID-19 UDSC-PL dataset. Bilingual (EN-UK) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/21113
    Explore at:
    tmxAvailable download formats
    Dataset updated
    Jul 5, 2020
    License

    https://elrc-share.eu/terms/openUnderPSI.htmlhttps://elrc-share.eu/terms/openUnderPSI.html

    Area covered
    United Kingdom
    Description

    Bilingual (EN-UK) corpus acquired from the website (https://udsc.gov.pl/) of the Polish Office for Foreigners

  17. f

    Table_2_Age- and sex-specific differences in immune responses to BNT162b2...

    • frontiersin.figshare.com
    bin
    Updated Oct 23, 2023
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    Cecilia Jay; Emily Adland; Anna Csala; Nicholas Lim; Stephanie Longet; Ane Ogbe; Jeremy Ratcliff; Oliver Sampson; Craig P. Thompson; Lance Turtle; Eleanor Barnes; Susanna Dunachie; Paul Klenerman; Miles Carroll; Philip Goulder (2023). Table_2_Age- and sex-specific differences in immune responses to BNT162b2 COVID-19 and live-attenuated influenza vaccines in UK adolescents.xlsx [Dataset]. http://doi.org/10.3389/fimmu.2023.1248630.s008
    Explore at:
    binAvailable download formats
    Dataset updated
    Oct 23, 2023
    Dataset provided by
    Frontiers
    Authors
    Cecilia Jay; Emily Adland; Anna Csala; Nicholas Lim; Stephanie Longet; Ane Ogbe; Jeremy Ratcliff; Oliver Sampson; Craig P. Thompson; Lance Turtle; Eleanor Barnes; Susanna Dunachie; Paul Klenerman; Miles Carroll; Philip Goulder
    License

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

    Description

    IntroductionThe key to understanding the COVID-19 correlates of protection is assessing vaccine-induced immunity in different demographic groups. Young people are at a lower risk of COVID-19 mortality, females are at a lower risk than males, and females often generate stronger immune responses to vaccination.MethodsWe studied immune responses to two doses of BNT162b2 Pfizer COVID-19 vaccine in an adolescent cohort (n = 34, ages 12–16), an age group previously shown to elicit significantly greater immune responses to the same vaccine than young adults. Adolescents were studied with the aim of comparing their response to BNT162b2 to that of adults; and to assess the impacts of other factors such as sex, ongoing SARS–CoV–2 infection in schools, and prior exposure to endemic coronaviruses that circulate at high levels in young people. At the same time, we were able to evaluate immune responses to the co-administered live attenuated influenza vaccine. Blood samples from 34 adolescents taken before and after vaccination with COVID-19 and influenza vaccines were assayed for SARS–CoV–2-specific IgG and neutralising antibodies and cellular immunity specific for SARS–CoV–2 and endemic betacoronaviruses. The IgG targeting influenza lineages contained in the influenza vaccine were also assessed.ResultsRobust neutralising responses were identified in previously infected adolescents after one dose, and two doses were required in infection-naïve adolescents. As previously demonstrated, total IgG responses to SARS–CoV-2 Spike were significantly higher among vaccinated adolescents than among adults (aged 32–52) who received the BNT162b2 vaccine (comparing infection-naïve, 49,696 vs. 33,339; p = 0.03; comparing SARS-CoV–2 previously infected, 743,691 vs. 269,985; p

  18. Data from: Qualitative Longitudinal Interviews With Households: Impact of...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2022
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    UK Data Service (2022). Qualitative Longitudinal Interviews With Households: Impact of COVID-19 and Lockdown on Families With Young Children Living in Tower Hamlets, 2020-2022 [Dataset]. http://doi.org/10.5255/ukda-sn-855830
    Explore at:
    Dataset updated
    2022
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Area covered
    London Borough of Tower Hamlets
    Description

    The aim of our study was to assess the economic, social, and health impacts of the pandemic on families both expecting babies, and those with children under five living in the London Borough of Tower Hamlets. Interview data was collected as part of the second phase of the research; a repeated longitudinal qualitative panel of 20 households purposively sampled from the Wave 1 survey to represent different household structures and types. In-depth interviews were conducted via video or telephone with up to 2 adults per household (mothers and fathers. Wave 1 of the panel interviews took place between January 2021 and April 2021 with wave 2 between September - December 2021. Our sampling strategy was carefully constructed to ensure representation of the following dimensions: Household type (single, couple, multi-generational); Income (low, moderate, and high); Ethnicity (White, South Asian, Other ethnic groups). Only one household member could complete the survey. If sampled, they were then contacted to take part in the qualitative panel along with other adult members of their households. The qualitative interviews utilised supporting interactive activities and focused on children’s development in the context of family’s everyday lives during the pandemic, how parents and kin supported each other emotionally and practically, and how families are engaged in their communities during the Covid-19 era. Interviews were focused on target child [under 5 years old at wave 1], identified as CHILD A in transcripts. Households were interviewed approximately 6 months later.

  19. Booking live events after COVID-19: refund reassurances UK and Ireland 2020

    • statista.com
    Updated Dec 5, 2024
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    Statista (2024). Booking live events after COVID-19: refund reassurances UK and Ireland 2020 [Dataset]. https://www.statista.com/statistics/1130816/influences-on-booking-future-events-coronavirus-uk-ireland/
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    Dataset updated
    Dec 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 16, 2020 - May 27, 2020
    Area covered
    Ireland, United Kingdom
    Description

    After a majority of events were cancelled in 2020 due to the Coronavirus lockdown, audiences in the United Kingdom and Ireland were asked what would influence their decision to book for future events. A majority at 80.7 percent said they felt that the ability to receive a full refund should the event be cancelled would influence their future purchases. 74.16 and 73.25 percent wanted the flexibility to either exchange tickets for another event, or receive credit to be used on future events if they were unable to attend.

  20. UK: access to treatment during COVID-19 for people living with eye problems...

    • statista.com
    Updated Mar 4, 2021
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    Statista (2021). UK: access to treatment during COVID-19 for people living with eye problems 2020 [Dataset]. https://www.statista.com/statistics/1214150/uk-covid-19-impact-on-treatment-access-for-people-with-eye-problems/
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    Dataset updated
    Mar 4, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020
    Area covered
    United Kingdom
    Description

    According to a survey carried out in the United Kingdom (UK) in 2020, there were significant negative impacts of the COVID-19 pandemic and the subsequent lockdown on access to treatment services (for example, hospital appointments) for people living with eye conditions. Almost 50 percent of respondents who were suffering from glaucoma reported that access to treatment services had become a lot worse, while 37 percent advised that access had become somewhat worse.

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Impact of coronavirus on the living situation of health workers in the UK April 2020 [Dataset]. https://www.statista.com/statistics/1111288/living-situation-of-health-workers-during-covid-19-in-the-uk/
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Impact of coronavirus on the living situation of health workers in the UK April 2020

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Dataset updated
Nov 30, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United Kingdom
Description

As of April 2020, the coronavirus (COVID-19) outbreak has affected, in some way, the living arrangements of around a third of healthcare professionals in the United Kingdom (UK). 12 percent of healthcare professionals still live in their home, but avoid contact with other members of their household, while three percent have had another member of the household live away from home due to coronavirus.

The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

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