21 datasets found
  1. 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.

  2. u

    Living With Covid Recovery final dataset

    • rdr.ucl.ac.uk
    bin
    Updated Jan 1, 2024
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    Elizabeth Murray; Henry Goodfellow; Ann Blandford; Katherine Bradbury; Manuel De Oliveira Gomes; Fiona Hamilton; William Henley; Fiona Stevenson (2024). Living With Covid Recovery final dataset [Dataset]. http://doi.org/10.5522/04/24000087.v1
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    binAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    University College London
    Authors
    Elizabeth Murray; Henry Goodfellow; Ann Blandford; Katherine Bradbury; Manuel De Oliveira Gomes; Fiona Hamilton; William Henley; Fiona Stevenson
    License

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

    Description

    Release model requires permission from Fiona Stevenson for data protection purposes. For access to this dataset please contact f.stevenson@ucl.ac.uk

    Please find further information regarding this dataset in the attached file. Design Cross-sectional single-arm service evaluation of real-time user data. Setting 31 Post-COVID clinics in the UK. Participants 3,754 adults diagnosed with PCS in primary or secondary care, deemed suitable for rehabilitation. Intervention Patients using the Living With Covid Recovery (LWCR) Digital Health Intervention (DHI) registered between 30/11/20 and 23/03/22. Primary and secondary outcome measures The primary outcome was the baseline Work and Social Adjustment Scale (WSAS). WSAS measures the functional limitations of the patient; scores ≥20 indicate moderately severe limitations. Other symptom data collected included fatigue (FACIT-F), depression (PHQ-8), anxiety (GAD-7), breathlessness (MRC Dyspnoea Scale and Dyspnoea-12), cognitive impairment (PDQ-5) and health-related quality of life (EQ-5D).

    Data collection period 30/11/20 to 17/7/22 (inclusive)

  3. Daily domestic transport use by mode

    • gov.uk
    Updated Nov 12, 2025
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    Department for Transport (2025). Daily domestic transport use by mode [Dataset]. https://www.gov.uk/government/statistics/transport-use-during-the-coronavirus-covid-19-pandemic
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    Dataset updated
    Nov 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

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

    These statistics on transport use are published monthly.

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

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

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

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

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

    ModePublication and linkLatest period covered and next publication
    Road trafficRoad traffic statisticsFull annual data up to December 2024 was published in June 2025.

    Quarterly data up to March 2025 was published June 2025.
    Rail usageThe Office of Rail and Road (ORR) publishes a range of statistics including passenger and freight rail performance and usage. Statistics are available at the https://dataportal.orr.gov.uk/">ORR website.

    Statistics for rail passenger numbers and crowding on weekdays in major cities in England and Wales are published by DfT.
    ORR’s latest quarterly rail usage statistics, covering January to March 2025, was published in June 2025.

    DfT’s most recent annual passenger numbers and crowding statistics for 2024 were published in July 2025.
    Bus usageBus statisticsThe most recent annual publication covered the year ending March 2024.

    The most recent quarterly publication covered April to June 2025.
    TfL tube and bus usageData on buses is covered by the section above. https://tfl.gov.uk/status-updates/busiest-times-to-travel">Station level business data is available.
    Cross Modal and journey by purposeNational Travel Survey2024 calendar year data published in August 2025.

  4. BSTS and GWLR Modelling Impacts of COVID-19 Lockdowns on theSpatio-temporal...

    • figshare.com
    zip
    Updated Jan 10, 2024
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    Rui Wang; Yijing Li (2024). BSTS and GWLR Modelling Impacts of COVID-19 Lockdowns on theSpatio-temporal Patterns of London Crimes Datasets [Dataset]. http://doi.org/10.6084/m9.figshare.24973392.v2
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    zipAvailable download formats
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Rui Wang; Yijing Li
    License

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

    Area covered
    London
    Description

    Given the paramount impacts of COVID-19 on people’s lives in the capital of the UK, London, it was foreseeable that the city’s crime patterns would have undergone significant transformations, especially during lockdown periods. This study aims to testify the crime patterns’ changes in London, using data from March 2020 to March 2021 to explore the driving forces for such changes, and hence propose data-driven insights for policy makers and practitioners on London’s crime deduction and prevention potentiality in post-pandemic era. (1) Upon exploratory data analyses on the overall crime change patterns, an innovative BSTS model has been proposed by integrating restriction-level time series into the Bayesian structural time series (BSTS) model. This novel method allows the research to evaluate the varied effects of London’s three lockdown periods on local crimes among the regions of London. (2) Based on the predictive results from the BSTS modelling, three regression models were deployed to identify the driving forces for respective types of crime experiencing significant increases during lockdown periods. (3) The findings solidified research hypotheses on the distinct factors influencing London’s specific types of crime by period and by region. In light of the received evidence, insights on a modified policing allocation model and supporting the unemployed group was proposed in the aim of effectively mitigating the surges of crimes in London.

  5. u

    COVID-19: Burden and Impact in Care Homes: A Mixed Methods Study, 2020-2021

    • datacatalogue.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated Aug 31, 2021
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    Shallcross, L, University College London; Friedrich, B, University College London; Antonopolou, V, University College London; Jhass, A, University College London; Forbes, G, University College London (2021). COVID-19: Burden and Impact in Care Homes: A Mixed Methods Study, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855116
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    Dataset updated
    Aug 31, 2021
    Authors
    Shallcross, L, University College London; Friedrich, B, University College London; Antonopolou, V, University College London; Jhass, A, University College London; Forbes, G, University College London
    Time period covered
    Mar 1, 2020 - Jun 30, 2021
    Area covered
    England
    Description

    COVID-19 causes significant mortality in elderly and vulnerable people and spreads easily in care homes where one in seven individuals aged > 85 years live. However, there is no surveillance for infection in care homes, nor are there systems (or research studies) monitoring the impact of the pandemic on individuals or systems. Usual practices are disrupted during the pandemic, and care home staff are taking on new and unfamiliar roles, such as advanced care planning. Understanding the nature of these changes is critical to mitigate the impact of COVID-19 on residents, relatives and staff. 20 care homes staff members were interviewed using semi-structured interviews.

    The COVID-19 pandemic poses a substantial risk to elderly and vulnerable care home residents and COVID-19 can spread rapidly in care homes. We have national, daily data on people with COVID-19 and deaths, but there is no similar data for care homes. This makes it difficult to know the scale of the problem, and plan how to keep care home residents safe. We also want to understand the impact of COVID-19 on care home staff and residents. Researchers from University College London (UCL) will measure the number of cases of COVID-19 in care homes, using data from Four Seasons Healthcare, a large care home chain. FSHC remove residents' names and addresses before sending the dataset to UCL, protecting resident's confidentiality. Since we cannot visit care homes during the pandemic, we will hold virtual (online) discussion meetings with care home stakeholders (staff, residents, relatives, General Practice teams) every 6-8 weeks, to learn rapid lessons about managing COVID-19 in care homes and identify pragmatic solutions. Our findings will be shared with FHSC, GPs and Public Health England, patients and the public, and support the national response to COVID-19. Patients and the public will be involved in all stages of the research.

  6. Rapid Evidence Review - Inequalities in relation to COVID-19 and their...

    • ckan.publishing.service.gov.uk
    Updated Oct 2, 2020
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    ckan.publishing.service.gov.uk (2020). Rapid Evidence Review - Inequalities in relation to COVID-19 and their effects on London - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/rapid-evidence-review-inequalities-in-relation-to-covid-19-and-their-effects-on-london
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    Dataset updated
    Oct 2, 2020
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    London
    Description

    The Greater London Authority (GLA) commissioned the University of Manchester to conduct a rapid evidence review to document and understand the impact of COVID-19 (in terms of both health and the broader impacts on existing social and economic inequalities) on those with protected characteristics, as well as those living in poorer, or more precarious, socioeconomic circumstances, paying particular attention to its effect in London. The report provides the outcomes of the review, as well as a series of recommendations, which are focused on identifying tractable policy solutions in order to prevent, or mitigate, the inequalities in relation to protected characteristics and socioeconomic position that result from the COVID-19 pandemic and policy responses to it. Also available to download below is a spreadsheet documenting the formalised literature review searches.

  7. h

    COVIDsortium

    • healthdatagateway.org
    unknown
    Updated Oct 8, 2024
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    (2024). COVIDsortium [Dataset]. https://healthdatagateway.org/en/dataset/703
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    unknownAvailable download formats
    Dataset updated
    Oct 8, 2024
    License

    https://covid-consortium.com/application-for-samples/https://covid-consortium.com/application-for-samples/

    Description

    COVID-19 has caused the greatest pandemic in living memory. Alongside providing excellent clinical care in the most challenging of environments, there is also a critical need for clinical research to better understand this disease. This will equip us to better deal with the current pandemic as well future ones.

    We need to establish why some people develop severe disease and others never get ill despite infection. We need to know whether there are targets for drug development to treat the disease or to give people who are exposed. We will look at genetic influences and immunology (including prior protective viral exposure), seek neutralising antibodies, understand the cellular responses and assess ethnic and sociological factors – all by collecting a biorepository of over 200,000 samples taken from our own healthcare staff weekly over the next 4 months. These samples will then be divided up and sent to the UKs best academic and pharmaceutical research institutions for collaborative, swift science maximising the yield of the consortium to answer the questions in such urgent need of answers.

    Dr Charlotte Manisty, Professor James Moon and their team embarked on a pioneering project with Barts NHS Health Trust, in collaboration with University College London (UCL) and Queen Mary’s University London (QMLU). Their research focused on gathering blood samples and health data from frontline healthcare workers, rather than patients admitted to hospital with COVID-19. This was because healthcare workers have high exposure rates to the disease – it also allows researchers to compare samples from each person before, during and after their exposure to COVID-19, and to investigate the disease in people who develop only mild symptoms or are asymptomatic.

  8. h

    REal-time Assessment of Community Transmission (REACT-2)

    • healthdatagateway.org
    • find.data.gov.scot
    • +1more
    unknown
    Updated Oct 8, 2024
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    Imperial College London (2024). REal-time Assessment of Community Transmission (REACT-2) [Dataset]. https://healthdatagateway.org/dataset/204
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    unknownAvailable download formats
    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    Imperial College London
    License

    https://www.imperial.ac.uk/medicine/research-and-impact/groups/react-study/https://www.imperial.ac.uk/medicine/research-and-impact/groups/react-study/

    Description

    REal-time Assessment of Community Transmission (REACT-2) started in May 2020 to determine the prevalence of and trends in antibodies levels in study participants. This study involves approximately 150,000 unique people who use a finger prick test over 6 week periods, with additional information collected on contact with known cases to assess an infection point prevalence at national, regional and local levels. Within REACT 2 there is also a study on usability and efficacy of different tests.

    Imperial College London is leading a major programme of home testing for COVID-19 to track the progress of the infection across England. Called REACT, the programme was commissioned by the Department of Health and Social Care, and is being carried out in partnership with Imperial College Healthcare NHS Trust and Ipsos MORI.

    REACT-2 is a world largest surveillance study undertaken in England that examines the prevalence of antibodies in the community. The study focusses on finger prick self-testing at home by individuals aged 18 or over.The findings will provide the government with a better understanding of the use of antibody tests at home as well as assess the trends in antibody levels and how they vary across different population subgroups. This will inform government policies to protect health and save lives.

  9. u

    UCL COVID-19 Social Study, 2020-2022

    • datacatalogue.ukdataservice.ac.uk
    Updated Oct 3, 2022
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    Fancourt, D., University College London, Department of Behavioural Science and Health; Bu, F., University College London, Department of Behavioural Science and Health; Paul, E., University College London, Department of Behavioural Science and Health; Steptoe, A., University College London, Department of Behavioural Science and Health (2022). UCL COVID-19 Social Study, 2020-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-9001-1
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    Dataset updated
    Oct 3, 2022
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Fancourt, D., University College London, Department of Behavioural Science and Health; Bu, F., University College London, Department of Behavioural Science and Health; Paul, E., University College London, Department of Behavioural Science and Health; Steptoe, A., University College London, Department of Behavioural Science and Health
    Area covered
    United Kingdom
    Description

    The UCL COVID-19 Social Study at University College London (UCL) was launched on 21 March 2020. Led by Dr Daisy Fancourt and Professor Andrew Steptoe from the Department of Behavioural Science and Health, the team designed the study to track in real-time the psychological and social impact of the virus across the UK.

    The study quickly became the largest in the country, growing to over 70,000 participants and providing rare and privileged insight into the effects of the pandemic on people’s daily lives. Through our participants’ remarkable two-year commitment to the study, 1.2 million surveys were collected over 105 weeks, and over 100 scientific papers and 44 public reports were published.

    During COVID-19, population mental health has been affected both by the intensity of the pandemic (cases and death rates), but also by lockdowns and restrictions themselves. Worsening mental health coincided with higher rates of COVID-19, tighter restrictions, and the weeks leading up to lockdowns. Mental health then generally improved during lockdowns and most people were able to adapt and manage their well-being. However, a significant proportion of the population suffered disproportionately to the rest, and stay-at-home orders harmed those who were already financially, socially, or medically vulnerable. Socioeconomic factors, including low SEP, low income, and low educational attainment, continued to be associated with worse experiences of the pandemic. Outcomes for these groups were worse throughout many measures including mental health and wellbeing; financial struggles;self-harm and suicide risk; risk of contracting COVID-19 and developing long Covid; and vaccine resistance and hesitancy. These inequalities existed before the pandemic and were further exacerbated by COVID-19, and such groups remain particularly vulnerable to the future effects of the pandemic and other national crises.

    Further information, including reports and publications, can be found on the https://www.covidsocialstudy.org/">UCL COVID-19 Social Study website.

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

    • gov.uk
    Updated Jul 3, 2025
    + more versions
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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
    Jul 3, 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/">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  11. Data_Sheet_1_The actual and ideal indoor soundscape for work, relaxation,...

    • frontiersin.figshare.com
    txt
    Updated Jun 6, 2023
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    Simone Torresin; Eleanor Ratcliffe; Francesco Aletta; Rossano Albatici; Francesco Babich; Tin Oberman; Jian Kang (2023). Data_Sheet_1_The actual and ideal indoor soundscape for work, relaxation, physical and sexual activity at home: A case study during the COVID-19 lockdown in London.CSV [Dataset]. http://doi.org/10.3389/fpsyg.2022.1038303.s001
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    txtAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Simone Torresin; Eleanor Ratcliffe; Francesco Aletta; Rossano Albatici; Francesco Babich; Tin Oberman; Jian Kang
    License

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

    Area covered
    London
    Description

    The period of home confinement during the COVID-19 pandemic made the importance of a high-quality surrounding environment even more evident than before. Several studies have been carried out to assess the (negative) impacts of noise on annoyance, particularly whilst working from home (WFH). The present study takes a step further by (1) investigating the positive and negative impacts of the “actual” acoustic environment on a range of activities, i.e., WFH, relaxation, physical, and sexual activities, and (2) identifying the characteristics of an “ideal” indoor soundscape. The study is based on the qualitative analysis of verbal descriptions collected from open-ended questions included in a survey administered in January 2021 to 464 respondents living in London, during the COVID-19 lockdown. The range of impacts in the actual scenario varied from no effect on task execution, to disruption, distraction, concern of disturbing others or being heard. Positive impacts included support of concentration, relaxation, motivation, freedom of sound expression, feeling of being connected to the surroundings and comforted by the presence of others, according to mechanisms described in the study. Negative appraisal could trigger coping strategies (e.g., controlling windows, playing music, wearing headphones) and behavioural changes (e.g., lowering the volume of the voice or music, muting oneself during call, changing workout type) that could in turn limit or enhance the freedom of behaviour, affect or foster wellbeing. Negative impacts were most frequently reported on WFH (by 55% of the participants), followed by relaxation activities (40.6%), sexual activities (30.1%), and home workout (20.1%). The ideal soundscape was described as a quiet, well-sound insulated environment, which guarantees access to positive sounds (i.e., natural sounds, music, urban background), thus resulting in privacy, intimacy, and a place where to express themselves without noise-related constraints. The study complements literature findings on housing design directions in light of the COVID-19 pandemic, by providing further evidence on the impacts of poor sound insulation at home, the potential benefits of nature-based solutions for positive indoor soundscapes, and opportunities for an activity-based design of domestic environments, inclusive of a broader set of home uses and household compositions.

  12. u

    Social Learning About COVID-19 Vulnerability and Social Distancing in High...

    • datacatalogue.ukdataservice.ac.uk
    Updated Jan 19, 2022
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    Tang, C, King's College London (2022). Social Learning About COVID-19 Vulnerability and Social Distancing in High Density Populations: The Case of UK Urban Dwelling Bangladeshis, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855390
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    Dataset updated
    Jan 19, 2022
    Authors
    Tang, C, King's College London
    Area covered
    United Kingdom
    Description

    Early epidemiology indicated older members of Britain’s Bangladeshi communities were disproportionately affected by COVID-19 related morbidity and mortality. Bangladeshis were more likely to have comorbidities and live in poorer, overcrowded areas in the UK’s urban centres where viral contagion was more likely. This cross-section of socioeconomic, geographical and health related factors underlined the need for clear messaging about social distancing in a complex and shifting risk scenario – messages that this vulnerable group, who speak an oral language (Sylheti), may not have been able to access directly due to low literacy and English language proficiency.

    This study identified the practices adopted by Bangladeshis in East London in response to the pandemic, the underlying attitudes and beliefs and whether and how these had been influenced by messages about social distancing. Drawing on our earlier work, it examined the role of social learning in how messages were accessed and interpreted and whether and how the health interactions of this older group were mediated by friends, family members and acquaintances. Remote interviews with older Bangladeshis and their social contacts who performed this mediating role provided insights into how linguistically and culturally appropriate messaging could build on existing beliefs and practices to promote compliance, and on social mediation as a dissemination strategy. We identified the role of choice of language (English or Sylheti), the differences between written and oral representations of COVID-19 risk, and the manifold ways in which linguistic choices give salience to aspects of a risk scenario.

    Early epidemiology indicated older members of Britain’s Bangladeshi communities were disproportionately affected by COVID-19 related morbidity and mortality. Bangladeshis were more likely to have comorbidities and live in poorer, overcrowded areas in the UK’s urban centres where viral contagion was more likely. This cross-section of socioeconomic, geographical and health related factors underlined the need for clear messaging about social distancing in a complex and shifting risk scenario – messages that this vulnerable group, who speak an oral language (Sylheti), may not have been able to access directly due to low literacy and English language proficiency.

    This study identified the practices adopted by Bangladeshis in East London in response to the pandemic, the underlying attitudes and beliefs and whether and how these had been influenced by messages about social distancing. Drawing on our earlier work, it examined the role of social learning in how messages were accessed and interpreted and whether and how the health interactions of this older group were mediated by friends, family members and acquaintances. Remote interviews with older Bangladeshis and their social contacts who performed this mediating role provided insights into how linguistically and culturally appropriate messaging could build on existing beliefs and practices to promote compliance, and on social mediation as a dissemination strategy. We identified the role of choice of language (English or Sylheti), the differences between written and oral representations of COVID-19 risk, and the manifold ways in which linguistic choices give salience to aspects of a risk scenario.

  13. h

    Qualitative Longitudinal Interviews With Households: Impact of COVID-19 and...

    • harmonydata.ac.uk
    • datacatalogue.ukdataservice.ac.uk
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    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
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    Time period covered
    Jun 2, 2020 - Mar 30, 2022
    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.Adverse direct and indirect impacts of the current COVID-19 pandemic will disproportionately fall on individuals and families from poorer backgrounds, those in public facing jobs and living in higher density housing. Tower Hamlets, the site of this study, with its pre-existing stark income and health inequalities is already a high-risk inner city area, placed in one of the richest global cities. This project will focus on the impacts of the lockdown, and its aftermath for the borough's young children, who are likely to experience new health and educational inequalities as a result of the unprecedented restrictions on mobility associated with slowing the spread of COVID-19 introduced on 23 March 2020. Tower Hamlets has a highly diverse population profile, with residents from a wide range of ethnicities and social and economic backgrounds, which offers an opportunity to identify how families deploy their interpersonal, economic and social resources to manage risks associated with living in lockdown and in recovery from lockdown. In close partnership with the borough Public Health and children's services team, we will run a repeat survey of 2000 couple and single parent families with children aged 0-4, and pregnant women; a longitudinal qualitative panel with approximately 60 household members including fathers and wider kin; and examine changing family support services, and emergent community resources such as mutual aid and peer networks. We are interested in families' cultural and inter-personal assets as well as their vulnerabilities: what new forms of managing family and community life have emerged and how are these novel methods helping young children? We will include two groups defined as vulnerable; pregnant women and shielded children. The survey tools chosen are those being run by the concurrent Born in Bradford (BiB) cohort study and by the International Network on Leave Policies and Research offering robust comparisons. Findings will help guide the borough's deployment of scarce resources in the recovery phase of the pandemic and will have relevance to all inner-city areas.

  14. 2

    COSMO

    • datacatalogue.ukdataservice.ac.uk
    Updated Apr 9, 2024
    + more versions
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    Anders, J., University College London, Centre for Education Policy and Equalising Opportunities; Calderwood, L., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Crawford, C., University College London, Centre for Education Policy and Equalising Opportunities; Cullinane, C., Sutton Trust; Goodman, A., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Macmillan, L., University College London, Centre for Education Policy and Equalising Opportunities; Patalay, P., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Wyness, G., University College London, Centre for Education Policy and Equalising Opportunities (2024). COSMO [Dataset]. http://doi.org/10.5255/UKDA-SN-9158-2
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    Dataset updated
    Apr 9, 2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Anders, J., University College London, Centre for Education Policy and Equalising Opportunities; Calderwood, L., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Crawford, C., University College London, Centre for Education Policy and Equalising Opportunities; Cullinane, C., Sutton Trust; Goodman, A., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Macmillan, L., University College London, Centre for Education Policy and Equalising Opportunities; Patalay, P., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Wyness, G., University College London, Centre for Education Policy and Equalising Opportunities
    Area covered
    England
    Description
    The COVID Social Mobility and Opportunities Study (COSMO) is a longitudinal cohort study, a collaboration between the UCL Centre for Education Policy and Equalising Opportunities (CEPEO), the UCL Centre for Longitudinal Studies (CLS), and the Sutton Trust. The overarching aim of COSMO is to provide a representative data resource to support research into how the COVID-19 pandemic affected the life chances of pupils with different characteristics, in terms of short-term effects on educational attainment, and long-term educational and career outcomes.

    The topics covered by COSMO include, but are not limited to, young people's education experiences during the pandemic, cancelled assessments and education and career aspirations. They have also been asked for consent for linking their survey data to their administrative data held by organisations such as the UK Department for Education (DfE). Linked data is planned to be made available to researchers through the ONS Secure Research Service.

    Young people who were in Year 11 in the 2020-2021 academic year were drawn as a clustered and stratified random sample from the National Pupil Database held by the DfE, as well as from a separate sample of independent schools from DfE's Get Information about Schools database. The parents/guardians of the sampled young people were also invited to take part in COSMO. Data from parents/guardians complement the data collected from young people.

    Further information about the study may be found on the COVID Social Mobility and Opportunities Study (COSMO) webpage.

    COSMO Wave 2, 2022-2023
    All young people who took part in Wave 1 (see SN 9000) were invited to the second Wave of the study, along with their parents (whether or not they took part in Wave 1).

    Data collection in Wave 2 was carried out between October 2022 and April 2023 where young people and parents/guardians were first invited to a web survey. In addition to online reminders, some non-respondents were followed up via face-to-face visits or telephone calls over the winter and throughout spring. Online ‘mop-up’ fieldwork was also carried out to invite all non-respondents into the survey one last time before the end of fieldwork.

    Latest edition information:
    For the second edition (April 2024), a standalone dataset from the Keeping in Touch (KIT) exercise carried out after the completion of Wave 2, late 2023 have been deposited. This entailed a very short questionnaire for updating contact details and brief updates on young people's lives. A longitudinal parents dataset has also been deposited, to help data users find core background information from parents who took part in either Wave 1 or Wave 2 in one place. Finally, the young people's dataset has been updated (version 1.1) with additional codes added from some open-ended questions. The COSMO Wave 1 Data User Guide Version 1.1 explains these updates in detail. A technical report and accompanying appendices has also been deposited.

    Further information about the study may be found on the COSMO website.

  15. o

    Covid Chronicles: I am a Londoner!

    • ordo.open.ac.uk
    docx
    Updated Oct 24, 2022
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    Erene Kaptani; Marie Gillespie (2022). Covid Chronicles: I am a Londoner! [Dataset]. http://doi.org/10.21954/ou.rd.16718785.v1
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    docxAvailable download formats
    Dataset updated
    Oct 24, 2022
    Dataset provided by
    The Open University
    Authors
    Erene Kaptani; Marie Gillespie
    License

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

    Description

    In this blog, Erene Kaptani and Marie Gillespie report on how undocumented Londoners express their sense of belonging at an online event, “I’m a Londoner,” that took place in July 2021 as part of the London Assembly’s Festival of Ideas. The blog represents the testimonies of undocumented Londoners in their own words, offering insights into their often invisible lives.

    Images are screenshots taken during the online event, used with permission.

    This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants.

    This item can be found on our website, here: https://cov19chronicles.com/i-am-a-londoner/

  16. Inequalities and Environmental Action - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 14, 2022
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    ckan.publishing.service.gov.uk (2022). Inequalities and Environmental Action - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/inequalities-and-environmental-action
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    Dataset updated
    Mar 14, 2022
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    This report and dataset were commissioned by the Greater London Authority, and produced by Centric Lab to uncover the work of community groups that connect with environmental issues in Hackney, Newham, Tower Hamlets and Waltham Forest. These four boroughs were selected as they have some of the highest representation of multi-ethnic low income communities who were greatly affected by the coronavirus pandemic. Many reports highlighted the role of environmental pollutants and structural deprivation as a determinant of Covid-19 infection and impact. As evidenced in this report communities demonstrate numerous and diverse capabilities in tackling the structural challenges of modern day London. This report highlights the different community groups committed to improving the lives of their families, neighbours, and future generations who grace the place they call home. The Mayor of London’s Engaging Londoners in Recovery Programme 2021-2023 sets out an agenda to champion this intellect and capacity to help deliver bottom-up led change in policy such as that of a Green New Deal for London. This report was produced in late 2021 and early 2022 when ‘Plan B’ Covid-19 restrictions were in place for most of its duration. This project was a desktop study and focused on working remotely. All data was gathered through online means and digital communications. This means that despite collating the amazing work of 143 organisations there’s a chance some were missed due to low digital visibility.

  17. u

    Semi-Structured Interviews with Participants in a London Food Co-op and...

    • datacatalogue.ukdataservice.ac.uk
    Updated Jan 25, 2023
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    Plender, C, University of Exeter (2023). Semi-Structured Interviews with Participants in a London Food Co-op and COVID-19 Shopping Service, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856202
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    Dataset updated
    Jan 25, 2023
    Authors
    Plender, C, University of Exeter
    Area covered
    United Kingdom
    Description

    This research draws on interview-based research that took place between May and June 2021 to capture the experience of staff and volunteers at a London food co-op that set up a shopping service for vulnerable people at the beginning of the COVID-19 pandemic. As well as reflecting on the food co-op, what it is and their relationship to it, participants discuss the foundation of the shopping (shop and drop) service and their relationship to it. They also explore broader topics such as the wider impacts of COVID-19 on their own lives and life in the UK, their opinion on the governmental response to COVID-19, and their understanding of concepts such as mutual aid, cooperation and community, which became so prevalent during the pandemic.

    The financial crisis of 2008 and resultant period of austerity have had a significant impact on the nature of politics, the economy and the lives of everyday citizens in Britain. These political-economic shifts have informed and adjusted the ideals, practices and structures of community organising, raising questions about the nature of citizenship, grassroots political action and the structures of society in Britain today. The COVID-19 pandemic is further highlighting issues of inequality, while catalysing more community organising and network building. In the wake of Brexit, tensions around issues such as welfare, immigration and identity have also become increasingly polarising. This research takes an ethnographic approach to experiences of social and political-economic change, community-building and collective organising to offer a nuanced representation of life in contemporary Britain and the impacts of increasingly neoliberal policies on food and housing.

    Despite the fact that Britain is one of the richest countries in the world, more than 8 million people are suffering from food insecurity today (Lambie-Mumford 2017). Where food has historically been one of the biggest income expenditures, it now averages just 10-16% for the lowest income households in the UK (DEFRA 2017). The fact that many people in Britain are unable to afford to eat despite this reduction, highlights one of the stark realities of life in Britain. The country is also undergoing a severe housing crisis, which is felt most acutely in cities such as London (Minton 2017). While housing used to be more affordable than food, by the 1990s this had become the main cost for the average household (Hickman 2008; Cribb et al. 2012). This raises questions about how the social and financial value of food and housing and the levels of urgency attached to each impact on how people mobilise and organise around them today, whether as activists or humanitarians; and what structures, practices and ideologies they draw on.

    As part of my doctoral work I conducted two years of ethnographic research with grassroots, retail food co-ops in London. This focused on practices of politics, aid and care in the face of austerity and the growing humanitarian crisis around food. The Politics of Food and Housing in Changing Times aims to consolidate and disseminate my PhD findings, and draw out the issues around housing which were already present in the thesis. In order to further my understanding of housing issues and the forms of collective organising used in relation to them, I will build on my established networks and contacts in London to do two months of fieldwork with housing activists. I will develop a research funding proposal from this work which makes a theoretical contribution to the social sciences on food, housing, political economy, and creates impact for the groups involved. In addition to the production of this new research and proposal, key outputs for the fellowship will include: A monograph based on the PhD thesis that engages with public and social scientific debates on austerity, food and activism, therefore appealing to both academics and practitioners. Three research participant workshops for people and organisations that contributed to my doctoral work. A practitioner workshop on food access and sustainability. I will also present at two international conferences. The fellowship activities are designed to build on each other, benefitting my career progression, while also creating pathways to impact. Drawing on my existing networks in London, the South West and mainland Europe, they will engage academics and practitioners across a range of disciplinary and professional backgrounds to share experiences and findings and develop tools in relation to the politics of food and housing, sustainability, poverty alleviation, community-building and social cohesion; and to build on local and international networks in order to share resources and findings.

  18. 2021 Census Topic Summary Sexual Orientation & Gender ID - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Jan 10, 2023
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    ckan.publishing.service.gov.uk (2023). 2021 Census Topic Summary Sexual Orientation & Gender ID - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/2021-census-topic-summary-sexual-orientation-gender-id
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    Dataset updated
    Jan 10, 2023
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    6th tranche of 2021 Census 'Topic Summary' tables: Sexual Orientation & Gender Identity. These are a set of univariate tables for the topic that provide date for Camden and sub areas (where available) and provide comparator data for London boroughs, Greater London and England & Wales. Cautionary note. 2021 Census took place during COVID-19 restrictions and some people usually resident in Camden were living elsewhere at the time and are not included in the statistics.

  19. u

    Co-POWeR: Consortium on Practices of Wellbeing and Resilience in Black,...

    • datacatalogue.ukdataservice.ac.uk
    Updated Jul 25, 2023
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    Solanke, I, University of Leeds; Bhattacharyya, G, University of East London; Gupta, A, Royal Holloway, University of London; Bernard, C, Goldsmiths, University of London; Lakhanpaul, M, UCL; Rai, S, University of Warwick; Stokes, M, University of Southampton; Ayisi, F, University of South Wales; Kaur, R, University of Sussex; Padmadas, S, University of Southampton (2023). Co-POWeR: Consortium on Practices of Wellbeing and Resilience in Black, Asian and Minority Ethnic Families and Communities, 2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-856500
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    Dataset updated
    Jul 25, 2023
    Authors
    Solanke, I, University of Leeds; Bhattacharyya, G, University of East London; Gupta, A, Royal Holloway, University of London; Bernard, C, Goldsmiths, University of London; Lakhanpaul, M, UCL; Rai, S, University of Warwick; Stokes, M, University of Southampton; Ayisi, F, University of South Wales; Kaur, R, University of Sussex; Padmadas, S, University of Southampton
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    The inequities of the COVID-19 pandemic were clear by April 2020 when data showed that despite being just 3.5% of the population in England, Black people comprised 5.8% of those who died from the virus; whereas White people, comprising 85.3% of the population, were 73.6% of those who died. The disproportionate impact continued with, for example, over-policing: 32% of stop and search in the year ending March 2021 were of Black, Asian and Minority Ethnic (BAME) males aged 15-34, despite them being just 2.6% of the population.

    The emergency measures introduced to govern the pandemic worked together to create a damaging cycle affecting Black, Asian and Minority Ethnic families and communities of all ages. Key-workers – often stopped by police on their way to provide essential services – could not furlough or work from home to avoid infection, nor support their children in home-schooling. Children in high-occupancy homes lacked adequate space and/ or equipment to learn; such homes also lacked leisure space for key workers to restore themselves after extended hours at work. Over-policing instilled fear across the generations and deterred BAME people – including the mobile elderly - from leaving crowded homes for legitimate exercise, and those that did faced the risk of receiving a Fixed Penalty Notice and a criminal record.

    These insights arose from research by Co-POWeR into the synergistic effects of emergency measures on policing, child welfare, caring, physical activity and nutrition. Using community engagement, a survey with 1000 participants and interviews, focus groups, participatory workshops and community testimony days with over 400 people in total, we explored the combined impact of COVID-19 and discrimination on wellbeing and resilience across BAME FC in the UK. This policy note crystallises our findings into a framework of recommendations relating to arts and media communications, systems and structures, community and individual well-being and resilience. We promote long term actions rather than short term reactions.

    In brief, we conclude that ignoring race, gender and class when tackling a pandemic can undermine not only wellbeing across Black, Asian and Minority Ethnic families and communities (BAME FC) but also their levels of trust in government. A framework to protect wellbeing and resilience in BAME FC during public health emergencies was developed by Co-POWeR to ensure that laws and guidance adopted are culturally competent.

    Two viruses - COVID-19 and discrimination - are currently killing in the UK (Solanke 2020), especially within BAMEFC who are hardest hit. Survivors face ongoing damage to wellbeing and resilience, in terms of physical and mental health as well as social, cultural and economic (non-medical) consequences. Psychosocial (ADCS 2020; The Children's Society 2020)/ physical trauma of those diseased and deceased, disproportionate job-loss (Hu 2020) multigenerational housing, disrupted care chains (Rai 2016) lack of access to culture, education and exercise, poor nutrition, 'over-policing' (BigBrotherWatch 2020) hit BAMEFC severely. Local 'lockdowns' illustrate how easily BAMEFC become subject to stigmatization and discrimination through 'mis-infodemics' (IOM 2020). The impact of these viruses cause long-term poor outcomes. While systemic deficiencies have stimulated BAMEFC agency, producing solidarity under emergency, BAMEFC vulnerability remains, requiring official support. The issues are complex thus we focus on the interlinked and 'intersectional nature of forms of exclusion and disadvantage', operationalised through the idea of a 'cycle of wellbeing and resilience' (CWAR) which recognises how COVID-19 places significant stress upon BAMEFC structures and the impact of COVID-19 and discrimination on different BAMEFC cohorts across the UK, in whose lives existing health inequalities are compounded by a myriad of structural inequalities. Given the prevalence of multi-generational households, BAMEFC are likely to experience these as a complex of jostling over-lapping stressors: over-policed unemployed young adults are more likely to live with keyworkers using public transport to attend jobs in the front line, serving elders as formal/informal carers, neglecting their health thus exacerbating co-morbidities and struggling to feed children who are unable to attend school, resulting in nutritional and digital deprivation. Historical research shows race/class dimensions to national emergencies (e.g. Hurricane Katrina) but most research focuses on the COVID-19 experience of white families/communities. Co-POWeR recommendations will emerge from culturally and racially sensitive social science research on wellbeing and resilience providing context as an essential strand for the success of biomedical and policy interventions (e.g. vaccines, mass testing). We will enhance official decision-making through strengthening cultural competence in ongoing responses to COVID-19 thereby maximizing success of national strategy. Evidenced recommendations will enable official mitigation of disproportionate damage to wellbeing and resilience in BAMEFC. Empowerment is a core consortium value. Supporting UKRI goals for an inclusive research culture, we promote co-design and co-production to create a multi-disciplinary BAME research community spanning multi-cultural UK to inform policy. CO-POWeR investigates the synergistic effect on different age groups of challenges including policing, child welfare, caring and physical activity and nutrition. WP1 Emergency Powers investigates these vague powers to understand their impact on practices of wellbeing and resilience across BAMEFC. WP2 Children, Young People and their Families investigates implications for children/young people in BAMEFC who experience COVID-19 negatively due to disproportionate socio-economic and psychosocial impacts on their families and communities. WP3 Care, Caring and Carers investigates the interaction of care, caring and carers within BAMEFC to identify how to increase the wellbeing and resilience of older people, and paid and unpaid carers. WP4 Physical Activity and Nutrition investigates improving resilience and wellbeing by tackling vulnerability to underlying health conditions in BAMEFC. WP5 Empowering BAMEFC through Positive Narratives channels research from WP1-4 to coproduce fiction and non-fiction materials tackling the vulnerability of BAMEFC to 'mis infodemics'.

  20. u

    EVENS

    • datacatalogue.ukdataservice.ac.uk
    Updated Mar 25, 2024
    + more versions
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    Finney, N., University of St Andrews, Department of Geography and Sustainable Development; Nazroo, J., University of Manchester, School of Social Sciences, Sociology; Shlomo, N., University of Manchester, School of Social Sciences; Kapadia, D., University of Manchester, School of Social Sciences, Sociology; Becares, L., King's College London; Byrne, B., University of Manchester, Department of Sociology (2024). EVENS [Dataset]. http://doi.org/10.5255/UKDA-SN-9116-1
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    Dataset updated
    Mar 25, 2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Finney, N., University of St Andrews, Department of Geography and Sustainable Development; Nazroo, J., University of Manchester, School of Social Sciences, Sociology; Shlomo, N., University of Manchester, School of Social Sciences; Kapadia, D., University of Manchester, School of Social Sciences, Sociology; Becares, L., King's College London; Byrne, B., University of Manchester, Department of Sociology
    Area covered
    United Kingdom
    Description
    The Centre on the Dynamics of Ethnicity (CoDE), led by the University of Manchester with the Universities of St Andrews, Sussex, Glasgow, Edinburgh, LSE, Goldsmiths, King's College London and Manchester Metropolitan University, designed and carried out the Evidence for Equality National Survey (EVENS), with Ipsos as the survey partner. EVENS documents the lives of ethnic and religious minorities in Britain during the coronavirus pandemic and is, to date, the largest and most comprehensive survey to do so.

    EVENS used online and telephone survey modes, multiple languages, and a suite of recruitment strategies to reach the target audience. Words of Colour coordinated the recruitment strategies to direct participants to the survey, and partnerships with 13 voluntary, community and social enterprise (VCSE) organisations[1] helped to recruit participants for the survey.

    The ambition of EVENS was to better represent ethnic and religious minorities compared to existing data sources regarding the range and diversity of represented minority population groups and the topic coverage. Thus, the EVENS survey used an 'open' survey approach, which requires participants to opt-in to the survey instead of probability-based approaches that invite individuals to participate following their identification within a pre-defined sampling frame. This 'open' approach sought to overcome some of the limitations of probability-based methods in order to reach a large number and diverse mix of people from religious and ethnic minorities.

    EVENS included a wide range of research and policy questions, including education, employment and economic well-being, housing, social, cultural and political participation, health, and experiences of racism and discrimination, particularly with respect to the impact of the COVID-19 pandemic. Crucially, EVENS covered a full range of racial, ethnic and religious groups, including those often unrepresented in such work (such as Chinese, Jewish and Traveller groups), resulting in the participation of 14,215 participants, including 9,702 ethnic minority participants and a general population sample of 4,513, composed of White people who classified themselves as English, Welsh, Scottish, Northern Irish, and British. Data collection covered the period between 16 February 2021 and 14 August 2021.

    Further information about the study can be found on the EVENS project website.

    A teaching dataset based on the main EVENS study is available from the UKDS under SN 9249.

    [1] The VCSE organisations included Business in the Community, BEMIS (Scotland), Ethnic Minorities and Youth Support Team (Wales), Friends, Families and Travellers, Institute for Jewish Policy Research, Migrants' Rights Networks, Muslim Council Britain, NHS Race and Health Observatory, Operation Black Vote, Race Equality Foundation, Runnymede Trust, Stuart Hall Foundation, and The Ubele Initiative.
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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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Coronavirus (COVID-19) deaths in the UK as of January 12, 2023, by country/region

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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.

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