40 datasets found
  1. COVID-19 cases worldwide as of May 2, 2023, by country or territory

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

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

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

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

  2. Cumulative cases of COVID-19 worldwide from Jan. 22, 2020 to Jun. 13, 2023,...

    • statista.com
    Updated Jun 15, 2022
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    Statista (2022). Cumulative cases of COVID-19 worldwide from Jan. 22, 2020 to Jun. 13, 2023, by day [Dataset]. https://www.statista.com/statistics/1103040/cumulative-coronavirus-covid19-cases-number-worldwide-by-day/
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    Dataset updated
    Jun 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 22, 2020 - Jun 13, 2023
    Area covered
    Worldwide
    Description

    As of June 13, 2023, there have been almost 768 million cases of coronavirus (COVID-19) worldwide. The disease has impacted almost every country and territory in the world, with the United States confirming around 16 percent of all global cases.

    COVID-19: An unprecedented crisis Health systems around the world were initially overwhelmed by the number of coronavirus cases, and even the richest and most prepared countries struggled. In the most vulnerable countries, millions of people lacked access to critical life-saving supplies, such as test kits, face masks, and respirators. However, several vaccines have been approved for use, and more than 13 billion vaccine doses had already been administered worldwide as of March 2023.

    The coronavirus in the United Kingdom Over 202 thousand people have died from COVID-19 in the UK, which is the highest number in Europe. The tireless work of the National Health Service (NHS) has been applauded, but the country’s response to the crisis has drawn criticism. The UK was slow to start widespread testing, and the launch of a COVID-19 contact tracing app was delayed by months. However, the UK’s rapid vaccine rollout has been a success story, and around 53.7 million people had received at least one vaccine dose as of July 13, 2022.

  3. COVID-19 death rates in 2020 countries worldwide as of April 26, 2022

    • statista.com
    Updated Mar 20, 2023
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    Statista (2023). COVID-19 death rates in 2020 countries worldwide as of April 26, 2022 [Dataset]. https://www.statista.com/statistics/1105914/coronavirus-death-rates-worldwide/
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    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    COVID-19 rate of death, or the known deaths divided by confirmed cases, was over ten percent in Yemen, the only country that has 1,000 or more cases. This according to a calculation that combines coronavirus stats on both deaths and registered cases for 221 different countries. Note that death rates are not the same as the chance of dying from an infection or the number of deaths based on an at-risk population. By April 26, 2022, the virus had infected over 510.2 million people worldwide, and led to a loss of 6.2 million. 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.

    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. Note that Statista aims to also provide domestic source material for a more complete picture, and not to just look at one particular source. Examples are these statistics on the confirmed coronavirus cases in Russia or the COVID-19 cases in Italy, both of which are from domestic sources. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

    A word on the flaws of numbers like this

    People are right to ask whether these numbers are at all representative or not for several reasons. First, countries worldwide decide differently on who gets tested for the virus, meaning that comparing case numbers or death rates could to some extent be misleading. Germany, for example, started testing relatively early once the country’s first case was confirmed in Bavaria in January 2020, whereas Italy tests for the coronavirus postmortem. Second, not all people go to see (or can see, due to testing capacity) a doctor when they have mild symptoms. Countries like Norway and the Netherlands, for example, recommend people with non-severe symptoms to just stay at home. This means not all cases are known all the time, which could significantly alter the death rate as it is presented here. Third and finally, numbers like this change very frequently depending on how the pandemic spreads or the national healthcare capacity. It is therefore recommended to look at other (freely accessible) content that dives more into specifics, such as the coronavirus testing capacity in India or the number of hospital beds in the UK. Only with additional pieces of information can you get the full picture, something that this statistic in its current state simply cannot provide.

  4. c

    Data from: ASPIRE COVID-19 Work Package 2: National Stakeholders Interviews,...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 26, 2025
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    Thomson, G; de Jonge, A; van den Berg, L; Franso, B; Topalidou, A; Downe, S (2025). ASPIRE COVID-19 Work Package 2: National Stakeholders Interviews, the Netherlands, 2020-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-855861
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Amsterdam University Medical Centre
    University of Central Lancashire
    Authors
    Thomson, G; de Jonge, A; van den Berg, L; Franso, B; Topalidou, A; Downe, S
    Time period covered
    May 31, 2020 - Feb 25, 2022
    Area covered
    Netherlands
    Variables measured
    Individual
    Measurement technique
    Methodology (Interviews with leads in relevant national governmental, professional, and service user organisations in the NL)An email, information sheet and consent form were forwarded (electronically), and participants were asked to respond within two weeks if they would like to take part. The interview was held online (e.g., Microsoft Teams, Skype). As there could be issues in email encryption, and postal options were not feasible at the current time, the consent form were reviewed at the start of the interview, and then signed by the researcher on the participant’s behalf. The consent procedure was recorded (including participant’s responses and agreement) for verification purposes. A semi-structured interview guide was used, and questions include exploring the participant’s experience, involvement and perceptions of who, how, why and what decisions have been made in the maternity care delivery; how information about service changes have been communicated, monitored and assessed, what are/have been the likely of the service changes, and facilitators and barriers experienced. Pre-defined topics as well as other areas, e.g. based on what the participant disclosed, were explored. Interviews were audio-recorded; UK interviews were transcribed by in vivo by voice-to-text software, and in The Netherlands, interviews were transcribed by research staff. Interviews undertaken in Dutch were translated by Google Scholar and checked by native speakers as appropriate.All stakeholders received an information sheet that provided details as to what participation involved, the voluntary nature of participation, confidentiality, anonymity and withdrawal - participants had the option to withdraw their data up to one-month post interview. As participant’s views may be unique by virtue of their role, and therefore potentially identifiable to others, participants were asked to indicate whether they were happy for their views to be used and shared, or whether they wished to check their data before being added to our reports/outputs. In these occasions, selected text/quotes that may be potentially identifying were shared in advance via email, and the participant asked to respond within 2 weeks to confirm whether any retractions or amendments were required. In line with funder requirements, informed consent was gained from all participants to retain their data for re-use. Participants were told that if they take part in the project, non-identifying data will be shared in open, online data repositories. Participants contributing personal data had to sign a consent form which included a section related to data share. Interview ScheduleA detailed interview schedule including an introduction and reiterate key information was used. Interviews were started with an opening question regarding participants views on the most important issues for maternity and neonatal care provision that have come out of COVID-19. Then participants were asked about changes/adaptations to service delivery, decision making processes, communication and implementation, impact, barriers and facilitators, and recommendations and sustainability. ETHICSIn the Netherlands the study was submitted to the Medical Ethics Review Committee of the VU University Medical Centre (reference number 2020.345). In the United Kingdom the study was submitted to University of Central Lancashire (UCLan) Committee for Ethics and Integrity (HealthReview Panel), which approved this study (HEALTH_0079).
    Description

    *The dataset is a collection of data undertaken by the members of Work Package 2 (WP2), of the ASPIRE COVID-19 project, funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 [grant number ES/V004581/1]. Full details of the main study are available via ResearchRegistry (researchregistry5911) and via UKRI Gateway (https://gtr.ukri.org/projects?ref=ES%2FV004581%2F1). This dataset contains interviews (n=13) with leads (stakeholders in maternal and neonatal care) in relevant national governmental, professional, and service user organisations in the Netherlands (See section WP2 – point 3). *13 anonymised semi-structured interviews – transcribed (NL only). *The relevant UK dataset can be found here: https://doi.org/10.17030/uclan.data.00000319

    UK policy is for safe, personalised maternity care. However, during COVID-19 tests and visits have been reduced in some places, and some women with worrying symptoms are not going to hospital. Other places are trying new solutions, including remote access technologies. Some Trusts have reduced community maternity services, including home and birthcentre births; barred birth companions in early labour; and separated mothers, babies, and partners during labour, and in neonatal units. There are reports of women giving birth at home without professional help, possibly due to fear of infection, or of family separation. In contrast, the Netherlands has a policy of increased community maternity services during COVID-19. We want to find out how best to provide care for mothers, babies, and partners during and after a pandemic. We will look at what documents and national leads say about service organisation in the UK and the Netherlands, and at women's and parents experiences. We will also look in detail at what happened in 8 UK Trusts during the pandemic. We will find out how their services have been organised during COVID-19, what parents and staff think, and what the outcomes are, including infections. We will then share the findings with key stakeholders to agree a final organisational model that can be used to ensure safe, personalised routine and crisis maternity care, now, and in future. This will include useful resources and links relating to innovative best practices that we find out about during the study.

  5. c

    Polish Migrant Essential Workers in the UK during COVID-19: Qualitative...

    • datacatalogue.cessda.eu
    Updated Mar 7, 2025
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    Wright, S; Gawlewicz, A; Narkowicz, K; Piekut, A; Trevena, P (2025). Polish Migrant Essential Workers in the UK during COVID-19: Qualitative Data, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856576
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    Dataset updated
    Mar 7, 2025
    Dataset provided by
    University of Glasgow
    Middlesex University
    University of Sheffield
    Authors
    Wright, S; Gawlewicz, A; Narkowicz, K; Piekut, A; Trevena, P
    Time period covered
    Mar 24, 2021 - Aug 5, 2021
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    The study population was Polish adults engaged in essential work in the UK during the Covid-19 pandemic and key informants supporting migrant workers.Sampling for Polish essential workers was mainly based on the project online survey. Nearly 500 survey respondents left their name and/or email address, which we used to randomly recruit 20 interviewees. This resulted in a relatively balanced sample in terms of gender but not in terms of sector of employment, job type (lower- and higher-skilled) and location in the UK, which we were also prioritising. To address these imbalances, we reached out to the remaining respondents and asked them to provide additional socio-economic details via a short online questionnaire. We then selected additional 20 participants in the essential work sectors/roles and UK countries that were underrepresented in the first round. This phased approach allowed us to diversify the sample and capture the richness of experience across gender, essential work sector, job type and location in the UK. Migrant interviewees were each given a £20 gratitude voucher for their participation.Convenience sampling was used to identify individuals in organisations supporting migrant essential workers during Covid-19. Existing networks and chain referral were used to recruit representatives of support organisations, directly recruiting pre-identified individuals via email and/or phone. 10 adults were sampled from suitable key stakeholder roles, with expertise about migrant labour or supporting migrants in the UK.
    Description

    The data collection consists of 40 qualitative interviews with Polish migrant essential workers living in the UK and 10 in-depth expert interviews with key stakeholders providing information and support to migrant workers in the UK. All migrant interviews are in Polish. Six of the expert interviews with key stakeholders are in English and four are in Polish. Fieldwork was conducted fully online during the Covid-19 pandemic between March and August 2021, following the third UK-wide Covid-19 lockdown. Restrictions were still in place in some localities. Interviews took place shortly after the end of the transition period concluding the UK’s European Union exit on 1 January 2021. All Polish migrant worker interviewees entered the UK before 1 January 2021 and had the option to apply to the EU Settlement Scheme.

    The objectives of the qualitative fieldwork were to: 1. To synthesise empirical and theoretical knowledge on the short- and long-term impacts of COVID-19 on migrant essential workers. 2. To establish how the pandemic affected Polish migrant essential worker's lives; and expert interviews with stakeholders in the public and third/voluntary sector to investigate how to best support and retain migrant essential workers in COVID-19 recovery strategies. The project also involved: - co-producing policy outputs with partner organisations in England and Scotland; and - an online survey to measure how Polish migrant essential workers across different roles and sectors were impacted by COVID-19 in regard to health, social, economic and cultural aspects, and intentions to stay in the UK/return to Poland (deposited separately to University of Sheffield). Key findings included significant new knowledge about the health, social, economic and cultural impacts of Covid-19 on migrant essential workers. Polish essential workers were severely impacted by the pandemic with major mental health impacts. Mental health support was insufficient throughout the UK. Those seeking support typically turned to private (online) services from Poland as they felt they could not access them in the UK because of language or cultural barriers, lack of understanding of the healthcare system and pathways to mental health support, support being offered during working hours only, or fear of the negative impact of using mental health services on work opportunities. Some participants were in extreme financial hardship, especially those with pre-settled status or those who arrived in the UK during the pandemic. The reasons for financial strain varied but there were strong patterns linked to increased pressure at work, greater exposure to Covid-19 as well as redundancies, pay cuts and rejected benefit applications. There was a tendency to avoid applying for state financial support. These impacts were compounded by the sense of isolation, helplessness, or long-distance grief due to inability to visit loved ones in Poland. Covid-19 impacted most detrimentally on women with caring responsibilities, single parents and people in the health and teaching sectors. The most vulnerable Polish migrant essential workers - e.g. those on lower income, with pre-existing health conditions, restricted access to support and limited English proficiency - were at most risk. Discrimination was reported, including not feeling treated equally in the workplace. The sense of discrimination two-fold: as essential workers (low-paid, low-status, unsafe jobs) and as Eastern Europeans (frequent disciplining practices, treated as threat, assumed to be less qualified). In terms of future plans, some essential workers intended to leave the UK or were unsure about their future place of residence. Brexit was a major reason for uncertain settlement plans. Vaccine hesitancy was identified, based on doubts about vaccination, especially amongst younger respondents who perceived low risks of Covid-19 for their own health, including women of childbearing age, who may have worries over unknown vaccine side-effects for fertility. Interview participants largely turned to Polish language sources for vaccination information, especially social media, and family and friends in Poland. This promoted the spread of misinformation as Poland has a strong anti-vaccination movement.

    COVID-19 has exposed the UK's socio-economic dependence on a chronically insecure migrant essential workforce. While risking their lives to offset the devastating effects of the pandemic, migrant workers reportedly find themselves in precarious professional and personal circumstances (temporary zero-hours contracts, work exploitation, overcrowded accommodation, limited access to adequate health/social services including Universal Credit). This project will investigate the health, social, economic and cultural impacts of COVID-19 on the migrant essential workforce and how these might impact on their continued stay in the UK. It will focus on the largest non-British nationality in the UK, the Polish...

  6. c

    ASPIRE COVID-19 Work Package 5: Metadata for Clinical and Organisational...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 11, 2025
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    Downe, S; Neal, S; Stone, L; Matthews, Z; Topalidou, A; Kingdon, C; Thomson, G (2025). ASPIRE COVID-19 Work Package 5: Metadata for Clinical and Organisational Data, 2018-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856109
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    University of Southampton
    Swansea University
    University of Central Lancashire
    Authors
    Downe, S; Neal, S; Stone, L; Matthews, Z; Topalidou, A; Kingdon, C; Thomson, G
    Time period covered
    May 31, 2020 - Feb 25, 2022
    Area covered
    England
    Variables measured
    Individual, Organization, Event/process, Group
    Measurement technique
    There does not appear to be an agreed list of clinical and organisational variables that capture safe and personalised outcomes in maternal and neonatal care, and the processes that underpin them. Even if these variables were defined, it is not clear that Trusts collect these variables routinely. Even if they are collected routinely, accessing routinely collected accurate NHS data is known to be problematic. The ASPIRE COVID-19 team therefore undertook an iterative process to develop a variables list for safe and personalised care that was likely to capture processes of care that may underpin safety and personalisation, and outcomes that measure these phenomenon; that were likely to be (or should be, based on policy requirements) collected at Trust level; and that could potentially be supplied with a minimum of extra resource by Trust teams, and without high data access costs to the ASPIRE COVID-19 project. The resulting Safe and Personal Domain Variable List was developed iteratively, based on the following steps: • Initial development of a list of variables usually reported in the literature, and based on the principles of Better Births Better Births report through the NHS Maternity Transformation Programme.• A subsequent iterative round of discussions amongst ASPIRE COVID-19 Co-Investigators, researchers, and Advisory/Steering Group members with direct and indirect experience, requesting views on how the original variable list maps to the working framework for data collection and what extra variables might be required, ideally, to populate the framework. • Addition of variables emerging from insights from the earlier documentary analyses and in-depth interviews in the ASPIRE COVID-19 Trusts.• Submission of a ‘long list’ of both the organisational and clinical variables to Trusts to assess which ones could be provided easily, with difficulty, or not at all.• Exclusion of variables that none of the ASPIRE COVID-19 Trusts reported as being recorded/obtainable with reasonable effort locally.Following these steps, the final variables lists were confirmed and Trusts provided data on key quantitative indicators from routinely collected data (see file: Clinical_data_metadata_variables_all_trusts; and file Organisational_data_metadata_variables_all_trusts).Other quantitative data was taken from the Family and Friends test, Safe Staffing data and UK Government data on COVID-19 incidence and hospital admissions.
    Description

    The submission is a collection of metadata for clinical and organisational data. Analysis was undertaken by the members of Work Package 5 (WP5), of the ASPIRE COVID-19 project, funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 [grant number ES/V004581/1]. Full details of the main study are available via Related Resources. This record contains metadata for monthly maternity clinical data from seven NHS trusts in England from January 2018 to September 2021, as well as metadata for organisational-level data.

    UK policy is for safe, personalised maternity care. However, during COVID-19 tests and visits have been reduced in some places, and some women with worrying symptoms are not going to hospital. Other places are trying new solutions, including remote access technologies. Some Trusts have reduced community maternity services, including home and birthcentre births; barred birth companions in early labour; and separated mothers, babies, and partners during labour, and in neonatal units. There are reports of women giving birth at home without professional help, possibly due to fear of infection, or of family separation. In contrast, the Netherlands has a policy of increased community maternity services during COVID-19. We want to find out how best to provide care for mothers, babies, and partners during and after a pandemic. We will look at what documents and national leads say about service organisation in the UK and the Netherlands, and at women's and parents experiences. We will also look in detail at what happened in 8 UK Trusts during the pandemic. We will find out how their services have been organised during COVID-19, what parents and staff think, and what the outcomes are, including infections. We will then share the findings with key stakeholders to agree a final organisational model that can be used to ensure safe, personalised routine and crisis maternity care, now, and in future. This will include useful resources and links relating to innovative best practices that we find out about during the study.

  7. w

    National flu and COVID-19 surveillance reports: 2022 to 2023 season

    • gov.uk
    Updated Jul 25, 2023
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    UK Health Security Agency (2023). National flu and COVID-19 surveillance reports: 2022 to 2023 season [Dataset]. https://www.gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports-2022-to-2023-season
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    Dataset updated
    Jul 25, 2023
    Dataset provided by
    GOV.UK
    Authors
    UK Health Security Agency
    Description

    These reports summarise the surveillance of influenza, COVID-19 and other seasonal respiratory illnesses.

    Weekly findings from community, primary care, secondary care and mortality surveillance systems are included in the reports.

    This page includes reports published from 14 July 2022 to 6 July 2023.

    Previous reports on influenza surveillance are also available for:

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

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

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

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

    • gov.uk
    Updated Mar 20, 2025
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    UK Health Security Agency (2025). National flu and COVID-19 surveillance reports: 2024 to 2025 season [Dataset]. https://www.gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports-2024-to-2025-season
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    Dataset updated
    Mar 20, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    These reports summarise the surveillance of influenza, COVID-19 and other seasonal respiratory illnesses in England.

    Weekly findings from community, primary care, secondary care and mortality surveillance systems are included in the reports.

    This page includes reports published from 18 July 2024 to the present.

    Please note that after the week 21 report (covering data up to week 20), this surveillance report will move to a condensed summer report and will be released every 2 weeks.

    Previous reports on influenza surveillance are also available for:

    View the pre-release access list for these reports.

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  10. Deaths by vaccination status, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 25, 2023
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    Office for National Statistics (2023). Deaths by vaccination status, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland
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    xlsxAvailable download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

  11. DCMS Coronavirus Impact Business Survey - Round 2

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

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

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

    1. Experimental Statistics

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

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

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

    2. Data sources

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

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

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

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

    3. Quality

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

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

    The UK Statistics Authority

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

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

    Pre-release access

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

  12. c

    ASPIRE COVID-19: Work Package 2 National Satekholders Interviews, United...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 23, 2025
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    Thomson, G; Downe, S; Topalidou, A; Balaam, M; Crossland, N; Nowland, R (2025). ASPIRE COVID-19: Work Package 2 National Satekholders Interviews, United Kingdom, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855860
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    Dataset updated
    Mar 23, 2025
    Dataset provided by
    University of Central Lancashire
    niversity of Central Lancashire
    Authors
    Thomson, G; Downe, S; Topalidou, A; Balaam, M; Crossland, N; Nowland, R
    Time period covered
    May 31, 2020 - Feb 26, 2021
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    Methodology (Interviews with leads in relevant national governmental, professional, and service user organisations in the UK):An email, information sheet and consent form were forwarded (electronically), and participants were asked to respond within two weeks if they would like to take part. The interview was held online (Microsoft Teams). As there could be issues in email encryption, and postal options were not feasible at the current time, the consent form were reviewed at the start of the interview. The consent procedure was recorded (including participant’s responses and agreement) for verification purposes. A semi-structured interview guide were used, and questions include exploring the participant’s experience, involvement and perceptions of who, how, why and what decisions have been made in the maternity care delivery; how information about service changes have been communicated, monitored and assessed, what are/have been the likely of the service changes, and facilitators and barriers experienced. Pre-defined topics as well as other areas, e.g. based on what the participant disclosed, were explored. Interviews were audio-recorded; UK interviews were transcribed by in vivo by voice-to-text software and then checked by a researcher. Interview ScheduleA detailed interview schedule including an introduction and reiterate key information was used. Interviews were started with an opening question regarding participants views on the most important issues for maternity and neonatal care provision that have come out of COVID-19. Then participants were asked about changes/adaptations to service delivery, decision making processes, communication and implementation, impact, barriers and facilitators, and recommendations and sustainability. ETHICSThe University of Central Lancashire (UCLan) Committee for Ethics and Integrity (Health Review Panel), approved this study (HEALTH_0079).
    Description

    The dataset is a collection of data undertaken by the members of Work Package 2 (WP2), of the ASPIRE COVID-19 project, funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 [grant number ES/V004581/1]. This dataset contains interviews (n=26) with leads (stakeholders in maternal and neonatal care) in relevant national governmental, professional, and service user organisations in the UK . The dataset contains 26 anonymised semi-structured interviews – transcribed (UK only).

    *Interview Schedule: A detailed interview schedule including an introduction and reiterate key information was used. Interviews were started with an opening question regarding participants views on the most important issues for maternity and neonatal care provision that have come out of COVID-19. Then participants were asked about changes/adaptations to service delivery, decision making processes, communication and implementation, impact, barriers and facilitators, and recommendations and sustainability.

    File description: STUDY NAME_WORK PACKAGE NUMBER_PARTICIPANT NUMBER_COUNTRY (e.g. ASPIRE_WP2_S1_UK)

    UK policy is for safe, personalised maternity care. However, during COVID-19 tests and visits have been reduced in some places, and some women with worrying symptoms are not going to hospital. Other places are trying new solutions, including remote access technologies. Some Trusts have reduced community maternity services, including home and birthcentre births; barred birth companions in early labour; and separated mothers, babies, and partners during labour, and in neonatal units. There are reports of women giving birth at home without professional help, possibly due to fear of infection, or of family separation. In contrast, the Netherlands has a policy of increased community maternity services during COVID-19. We want to find out how best to provide care for mothers, babies, and partners during and after a pandemic. We will look at what documents and national leads say about service organisation in the UK and the Netherlands, and at women's and parents experiences. We will also look in detail at what happened in 8 UK Trusts during the pandemic. We will find out how their services have been organised during COVID-19, what parents and staff think, and what the outcomes are, including infections. We will then share the findings with key stakeholders to agree a final organisational model that can be used to ensure safe, personalised routine and crisis maternity care, now, and in future. This will include useful resources and links relating to innovative best practices that we find out about during the study.

  13. c

    ASPIRE COVID-19 Work Package 2: Babies Born Better Survey, United Kingdom...

    • datacatalogue.cessda.eu
    Updated Mar 15, 2025
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    Thomson, G; Balaam, M; van den Berg, L; Akooji, N; de Jonge, A; Topalidou, A; Downe, S (2025). ASPIRE COVID-19 Work Package 2: Babies Born Better Survey, United Kingdom and the Netherlands, 2020 [Dataset]. http://doi.org/10.5255/UKDA-SN-855862
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    Dataset updated
    Mar 15, 2025
    Dataset provided by
    Amsterdam University Medical Centre
    University of Central Lancashire
    Authors
    Thomson, G; Balaam, M; van den Berg, L; Akooji, N; de Jonge, A; Topalidou, A; Downe, S
    Time period covered
    Jun 18, 2020 - Dec 31, 2020
    Area covered
    Netherlands, United Kingdom
    Variables measured
    Individual
    Measurement technique
    Anonymised responses were recorded between 18th June 2020 and December 31st 2020 for women who gave birth to their most recent baby between 2017 and December 2020 in the UK and the Netherlands. The survey was accessible on the BBB survey website (https://www.babiesbornbetter.org/surveyportal) and was disseminated by researchers, maternity care organisations, service-user organisations, hospitals and midwifery practices through social media from June till September 2020. Responses from women who gave birth in the UK and the NL were collected, but the survey was translated and available in 24 languages, so women could complete the survey in their preferred language. Survey captures demographics such as age, parity, self-determined standard of life and clinical factors such as type of birth and problems during pregnancy. Women are asked to rate their overall birth experience.
    Description

    This is a collection of data undertaken by the members of Work Package 2 (WP2), of the ASPIRE COVID-19 project, funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 [grant number ES/V004581/1].

    The collection contains two datasets: 1) Anonymised Babies Born Better survey responses (quantitative only) recorded between 18th June 2020 and December 31st 2020 for women who gave birth to their most recent baby between 2017 and December 2020 in the UK and the Netherlands(available under standard Safeguarded access); 2) Anonymised Babies Born Better survey responses (qualitative only) recorded between 18th June 2020 and December 31st 2020 for women who gave birth to their most recent baby between 2017 and December 2020 in the UK and the Netherlands (available under Permission Only Saefguarded access).

    UK policy is for safe, personalised maternity care. However, during COVID-19 tests and visits have been reduced in some places, and some women with worrying symptoms are not going to hospital. Other places are trying new solutions, including remote access technologies. Some Trusts have reduced community maternity services, including home and birthcentre births; barred birth companions in early labour; and separated mothers, babies, and partners during labour, and in neonatal units. There are reports of women giving birth at home without professional help, possibly due to fear of infection, or of family separation. In contrast, the Netherlands has a policy of increased community maternity services during COVID-19. We want to find out how best to provide care for mothers, babies, and partners during and after a pandemic. We will look at what documents and national leads say about service organisation in the UK and the Netherlands, and at women's and parents experiences. We will also look in detail at what happened in 8 UK Trusts during the pandemic. We will find out how their services have been organised during COVID-19, what parents and staff think, and what the outcomes are, including infections. We will then share the findings with key stakeholders to agree a final organisational model that can be used to ensure safe, personalised routine and crisis maternity care, now, and in future. This will include useful resources and links relating to innovative best practices that we find out about during the study.

  14. Share of people with long COVID symptoms in the UK in 2022, by age

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Share of people with long COVID symptoms in the UK in 2022, by age [Dataset]. https://www.statista.com/statistics/1257384/people-with-long-covid-in-the-uk-by-age/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    According to a survey conducted in the United Kingdom (UK) in April 2022, 4.13 percent of all people aged between 35 and 49 years reported to be suffering from long COVID symptoms, the highest share across all age groups. Furthermore, around 3.7 percent of the population aged 50 to 69 years were estimated to suffer from long COVID. Overall, around 863 thousand people in the UK reported their ability to undertake daily activities and routines was affected a little by long COVID symptoms.

    Present state of COVID-19 As of May 2022, over 22 million COVID-19 cases had been reported in the UK. The largest surge of cases was noted over the winter period 2021/22. The incidence of cases in the county since the pandemic began stood at around 32,624 per 100,000 population. Cyprus had the highest incidence of COVID-19 cases among its population in Europe at 75,798 per 100,000 people, followed by a rate of 51,573 in Iceland. Over 175 thousand COVID-19 deaths have been reported in the UK. The deadliest day on record was January 20, 2021, when 1,820 deaths were recorded. In the UK, a COVID-19 death is defined as a person who died within 28 days of a positive test.

    Preventing long COVID through vaccination According to the WHO, being fully vaccinated alongside a significant proportion of the population also vaccinated is the best way to avoid the spread of COVID-19 or serious symptoms associated with the virus. It is therefore regarded that receiving a vaccine course as well as subsequent booster vaccines limits the chance of developing long COVID symptoms. As of April 27, 2022, around 53.2 million first doses, 49.7 million second doses, and 39.2 booster doses had been administered in the UK.

  15. Experiences of Potential Cancer Symptom and Help Seeking during the UK...

    • datacatalogue.cessda.eu
    Updated Mar 11, 2025
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    Brain, K; Cannings-John, R; Gjini, A; Goddard, M; Grozeva, D; Hepburn, J; Hughes, J; McCutchan, G; Moore, G; Moriarty, Y; Osborne, K; Quinn-Scoggins, H; Robling, M; Townson, J; Waller, J; Whitaker, K; Whitelock, V (2025). Experiences of Potential Cancer Symptom and Help Seeking during the UK COVID-19 Pandemic, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855905
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    Cancer Research UKhttp://cancerresearchuk.org/
    Public Health Waleshttps://phw.nhs.wales/
    Cardiff University
    University of Surrey
    Patient and Public Representative
    Kings College London
    Authors
    Brain, K; Cannings-John, R; Gjini, A; Goddard, M; Grozeva, D; Hepburn, J; Hughes, J; McCutchan, G; Moore, G; Moriarty, Y; Osborne, K; Quinn-Scoggins, H; Robling, M; Townson, J; Waller, J; Whitaker, K; Whitelock, V
    Time period covered
    Aug 1, 2020 - Sep 30, 2020
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    UK adults aged 18 years and over were recruited using Dynata (an online market research platform) (n=5667) and the Health Wise Wales platform supplemented through social media advertising(n=1875) to take part in an online survey (total n=7542). Surveys were completed in August/September 2020 and repeated in February./March 2021 and self reported. Data collected included: actual and hypothetical experiences of 15 potential symptoms of cancer, attributions of symptoms, help seeking behaviours, anticipated time to help seeking, barriers to help seeking, intentions to engage with cancer screening programmes and health behaviours (smoking, alcohol, diet, exercise, weight loss). Actual and hypothetical symptom attribution was collected as open text data in the HWWS sample and subsequently coded. A separate file is included containing the hypothetical coded data.One-to-one semi structed telephone interviews with a subsample of participants who were purposefully sampled based on age, gender and location. Participants took part in 2 interviews each with phase 1 interview taking place within a month of completing the baseline questionnaire (n=30) and the phase 2 interview within a month of completing the follow-up questionnaire (n=27). Participants were given a £20 voucher as a thank you for their time. All interviews were audio recorded and then transcribed. Transcripts have been anonymised and a data dictionary provided for further information on the anonymisation.
    Description

    With COVID-19 at the forefront, people may not have been aware of the importance of seeking medical help for early signs of cancer or taking up screening, when available, to diagnose cancer sooner. In addition, some people may not have wanted to be referred to a hospital for diagnostic tests due to fear of catching coronavirus in the healthcare setting. COVID-19 may have also affected whether people took part in healthy behaviours that could reduce the chances of getting cancer. These factors may have led to more cancers occurring, and more cancers being diagnosed at a late stage when treatment may be less successful.

    To understand peoples experiences and attitudes towards potential symptoms of cancer, their help-seeking behaviours and engagement in prevention behaviours (i.e. smoking, diet, exercise, alcohol consumption) during the pandemic we carried out a large study in adults aged 18+ across the UK. We aimed to include adults from a range of different backgrounds.

    Working closely with Cancer Research UK, we carried out an online survey with over 7,500 people to ask about any recent symptoms, cancer screening and health behaviours during the UK lockdown period. Survey questions included the time taken to visit the GP with a range of possible cancer symptoms, attitudes to cancer screening, anxiety about seeking help in the current situation, other barriers to seeking help, health behaviours including smoking, alcohol, diet and physical activity, and preferred ways of receiving public health information. The survey was repeated 6 months later to assess any changes in attitudes.

    We also interview 26 people (by telephone) who had taken part in the survey across two timepoints (autumn 2020 and spring 2021) to understand their attitudes and behaviours in more detail and how these changed during the course of the pandemic.

    Our study findings have been used to help in rapidly developing clear public health messages to encouraging people to act on the early signs of cancer, take up cancer screening when it became available and engage in healthy behaviours. Results from our study have been used to help to reduce the negative impact of COVID-19 on cancer outcomes in the longer term.

    Background: The impact of COVID-19 on the UK public attitude towards cancer and potential cancer symptom help-seeking is likely to be considerable, translating into impact on the NHS from delayed referrals, missed screening and later-stage cancer diagnosis.

    Aim: The aim of this study was to generate rapid self-report evidence on public views/responses of the covid-19 pandemic on caner symptoms to support and inform public health interventions with the potential to encourage: 1. timely symptom presentation, 2. engagement with cancer screening services and 3. improve cancer-related health behaviours I the wake of the pandemic.

    Design: Prospective mixed-methods cohort study in the UK population.

    Methods: During June-August 2020, and again six month later, we will conduct UK-wide online population survey of adults ages 18+. We measured attitudes and behaviour in the domains of 1. cancer symptom presentation, 2. intentions to engage with cancer screening, 3. Engagement in cancer-risk behaviours such as smoking, increased alcohol, poor diet and reduced physical activity. We sampled from established online cohorts (via CRUK and HealthWise Wales), supplemented with social media recruitment. Qualitative interviews were conducted with a sub-sample of survey participants to understand contextual influences on cancer attitudes and behaviours.

  16. c

    The COVID-19 Psychological Research Consortium Study, 2020-2021

    • datacatalogue.cessda.eu
    Updated Mar 11, 2025
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    Bentall, R; Shevlin, M; McBride, O; Murphy, J; Hartman, T; Levita, L; Gibson-Miller, J; Mason, L; Bennett, K (2025). The COVID-19 Psychological Research Consortium Study, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855552
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    University of Liverpool
    Ulster University
    University of Sheffield
    University of Manchester
    University College London
    Authors
    Bentall, R; Shevlin, M; McBride, O; Murphy, J; Hartman, T; Levita, L; Gibson-Miller, J; Mason, L; Bennett, K
    Time period covered
    Mar 1, 2020 - Dec 1, 2021
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    Online panel survey: A nationally representative sample (in relation to age, gender, household income, ethnicity, economic activity and household composition) of UK adults (N = 2025) were recruited at Wave 1, during the first week of the COVID-19 lockdown in March 2020. Fieldwork was conducted by the survey company Qualtrics. Six follow-up surveys were conducted during 2020 - 2021, with additional follow-up surveys planned for 2022. The C19PRC Study team worked closely with Qualtrics to maximise the retention of adults across waves to protect and sustain the longitudinal credentials of the survey, by recontacting those who had previously taken part in the study, while periodically conducting refreshment or ‘top-up’ sampling to recruit new respondents into the panel to match specific characteristics of adults who were lost to follow-up.
    Description

    The COVID-19 Psychological Research Consortium (C19PRC) Study aims to monitor and assess the long-term psychological, social, political and economic impact of the COVID-19 pandemic on the UK general population. A longitudinal, internet panel survey was designed to assess: (1) COVID-19 related knowledge, attitudes and behaviours, (2) the occurrence of common mental health disorders, as well as the role of (3) psychological factors, and (4) social and political attitudes in influencing the public’s response to the pandemic. Quota sampling was used to recruit a nationally representative sample of adults in terms of age, sex and household income. The first C19PRC survey was launched on 23 March 2020 (Wave 1), the day that a strict lockdown was enforced across the UK, and recruited 2025 UK adults. As of February 2022, six follow-up surveys have been conducted: Wave 2, April/May 2020; Wave 3, July/August 2020; Wave 4, Nov/Dec 2020; Wave 5, March/April 2021; Wave 6, Aug/Sept 2021; and Wave 7, Nov/Dec 2021. The baseline sample was representative of the UK population in relation to economic activity, ethnicity, and household composition. Data collection for the C19PRC Study is ongoing, with subsequent follow-up surveys being conducted during 2022 (Waves 8 and 9). C19PRC Study data has strong generalisability to facilitate and stimulate interdisciplinary research on important pandemic-related public health questions. It will allow changes in mental health and psychosocial functioning to be investigated from the beginning of the pandemic, identifying vulnerable groups in need of support. Find out more about the study at https://www.sheffield.ac.uk/psychology-consortium-covid19

    The COVID-19 pandemic has led to unprecedented global restrictions on freedom of movement, social and economic activity. Pandemics may cause fear in the population, affecting behaviour which in turn may propagate or restrict the further spread of the virus. Social and economic restrictions may also have a major impact on population mental health, especially affecting vulnerable groups, influencing the nation's ability to recover once the pandemic is over. To investigate these mental health effects, it is necessary to collect data using validated measures capturing mental health and decision-making early and throughout the pandemic. Prior to our work leading to this application, no research has addressed this. With initial seed funding from the Universities of Sheffield and Ulster, we assessed mental health and other relevant variables in 2025 UK adults who are highly representative of the UK population in the week of March 23rd, and followed them up in a second wave between April 20th and 30th, with a 69% follow-up rate. We measured not only mental health but many other social and Our work is already being used by the Cabinet Office, Public Health England and the Department of Health and Social Care. We request funding for five further waves of data collection (including one wave of increased sampling to ensure that the four nations/provinces of the UK are fully represented). We also seek funding for more detailed investigations of subgroups within our sample using qualitative interviews of vulnerable people (e.g. older people, people with pre-existing medical conditions) conducted over the telephone, cognitive testing of decision-making processes relevant to the perception of infection risk, and momentary experience sampling (in which people are contact at random intervals throughout the day to ask them about their experiences and feelings) extending until March 2021 after the hoped-for end of the crisis. We will achieve a complete picture of the psychology of a country during crisis and release our findings to the public and government in a timely manner, and make the data available to other scientists.

  17. e

    Proteomic identification of recombinant nucleocapsid N protein 40 kDa...

    • ebi.ac.uk
    Updated Feb 17, 2021
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    Katarina Smiljanic (2021). Proteomic identification of recombinant nucleocapsid N protein 40 kDa fragment from SARS-CoV-2 [Dataset]. https://www.ebi.ac.uk/pride/archive/projects/PXD023341
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    Dataset updated
    Feb 17, 2021
    Authors
    Katarina Smiljanic
    Variables measured
    Proteomics
    Description

    Serological testing is important methodfor diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Nucleocapsid (N) protein is the most abundant virus derived protein and strong immunogen. We aimed to find its efficient, low-cost production. SARS-CoV-2 recombinant fragment of nucleocapsid protein (rfNP; 58-419 aa) was expressed in E. coli in soluble form, purified and characterized biochemically and immunologically. Purified rfNP has secondary structure of full-length recombinant N protein, with high percentage of disordered structure (34.2 %) and of β-sheet (40.7 %). rfNP was tested in immunoblot using sera of COVID-19 convalescent patients. ELISA was optimized with sera of RT-PCR confirmed positive symptomatic patients and healthy individuals. IgG detection sensitivity was 96% (47/50) and specificity 97% (67/68), while IgM detection was slightly lower (94% and 96.5%, respectively). Cost-effective approach for soluble recombinant N protein fragment production was developed, with reliable IgG and IgM antibodies detection of SARS-CoV-2 infection.

  18. Most used sources of coronavirus news and information worldwide 2020, by...

    • statista.com
    Updated Aug 29, 2023
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    Statista (2023). Most used sources of coronavirus news and information worldwide 2020, by country [Dataset]. https://www.statista.com/statistics/1104365/coronavirus-news-sources-worldwide/
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    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 6, 2020 - Mar 10, 2020
    Area covered
    World
    Description

    According to a study conducted in March 2020, the most used sources of news and information regarding the coronavirus among news consumers worldwide were major news organizations, with 64 percent of respondents sayng that they got most of their information about the virus from larger news companies. The study also showed that social media was a popular news source for COVID-19 updates in several countries around the world. Despite social networking sites being the least trusted media source worldwide, for many consumers social media was a more popular source of information for updates on the coronavirus pandemic than global health organizations like the WHO or National health authorities like the CDC, particularly in Japan, South Africa, and Brazil.

    Government sources also varied in popularity among consumers in different parts of the world. Whilst 63 percent of Italian respondents relied mostly on national government sources, just 22 percent of UK news consumers did the same, preferring to get their updates from larger organizations. Similarly, twice as many Italians used local government sources to keep up to date than adults in the United Kingdom, and U.S. consumers were also less likely to rely on news from the government.

  19. c

    The Social Distancing and Development Study, 2020-2021

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 1, 2025
    + more versions
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    Gonzalez-Gomez, N (2025). The Social Distancing and Development Study, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855473
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    Dataset updated
    Mar 1, 2025
    Dataset provided by
    Oxford Brookes University
    Authors
    Gonzalez-Gomez, N
    Time period covered
    Mar 23, 2020 - Jun 1, 2021
    Area covered
    United Kingdom
    Variables measured
    Family: Household family
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    The Social Distancing and Development Study (SDDS) aimed to examine how changes in sleep, parenting style, social interactions, screen use and activities affect young children’s language and cognitive development since the Spring 2020 UK lockdown.

    This longitudinal study followed a cohort of nearly 900 children aged 8 to 36 months of age, enrolled in an online study at the onset or during the Spring 2020 UK lockdown, to capture changes in their environment and measure their impact on children’s vocabulary size and executive function. Since Spring 2020, we have collected data at three additional timepoints: T2 – End of the Spring 2020 lockdown, T3 – November 2020 lockdown, and T4 – One-year follow-up.

    On 20th March 2020, the UK Government instigated a nationwide nursery and school closure in response to the COVID-19 outbreak, followed by instructions for people to stay at home. For millions of children, this brought stark changes to their routines, with a decrease in outdoor activities and interactions with others.

    The environments children grow up in heavily influence key elements of cognitive development such as language and executive functions, which in turn associate with later educational and occupational attainment as well as health and wellbeing. The COVID-19 pandemic is a unique, once-in-a-lifetime situation that has dramatically changed the daily lives of millions of families. Several environmental factors likely to be affected by quarantine measures (such as sleep, parenting style and social interactions, screen use, and outdoor activities/exercise) are known predictors of language and executive function development.

    The proposed study will follow up a UK-wide cohort of 600 children aged 8 to 36 months of age, enrolled in an online study at the onset of social distancing measures, to capture changes in key environmental variables and measure their impact on children's vocabulary size and executive function. Using sophisticated analyses on a large and diverse sample, we will examine the role of each factor on children's cognitive abilities. At this time of unforeseen and ongoing change, it is imperative to understand the impacts of the lockdown on cognition during a critical period for development (0 to 3 years of age), and then find strategies to minimise disruption to this cohort. Our findings will identify approaches that mitigate the temporary loss of formal early years' education, identify those groups most at risk of adverse consequences, and inform policy on how to remediate the negative impacts of lockdown post-COVID-19.

  20. c

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

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 26, 2025
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    Plender, C (2025). 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
    Mar 26, 2025
    Dataset provided by
    University of Exeter
    Authors
    Plender, C
    Time period covered
    May 1, 2020 - Jun 30, 2020
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    Semi-structured online and telephone interviews with 6 participants of a London food co-op and covid shopping service (one coordinator and five volunteers). The researcher had previously conducted participants observation with the food co-op, and draws on knowledge from this as well as the changes in the project due to the pandemic to ask questions.
    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.

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Statista (2023). COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
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COVID-19 cases worldwide as of May 2, 2023, by country or territory

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93 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 29, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
World
Description

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

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

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

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