Contains the results of all PCR / Antigen Tests / LFTs reported to Public Health Scotland by NHS Scotland and UK Government Regional Testing Laboratories and home testing kits

The purpose of this dataset is to understand the prevalence of COVID-19 in the UK population, including swab results, antibody tests and demographic information.

There is an urgent need to understand the factors that mediate and mitigate the impact of the Covid-19 pandemic on behaviour and wellbeing. However, the onset of the outbreak was unexpected and the rate of acceleration so rapid as to preclude the planning of studies that can address these critical issues. Coincidentally, in January 2020, just prior to the outbreak in the UK, my team launched a study that collected detailed (~50 minute) cognitive and questionnaire assessments from >200,000 members of the UK public as part of a collaboration with the BBC. This placed us in a unique position to examine how aspects of mental health subsequently changed as the pandemic arrived in the UK. Therefore, we collected data from a further ~120,000 people in May, including additional detailed measures of self-perceived pandemic impact and free text descriptions of the main positives, negatives and pragmatic measures that people found helped them maintain their wellbeing.

In this data archive, we include the survey data from January and May 2020 examining impact of Covid-19 on mood, wellbeing and behaviour in the UK population. This data is reported in a preprint article, where we apply a novel fusion of psychometric, multivariate and machine learning analyses to this unique dataset, in order to address some of the most pressing questions regarding wellbeing during the pandemic in a data-driven manner. The preprint is available on this URL. https://www.medrxiv.org/content/10.1101/2020.06.18.20134635v1

Governments are taking a wide range of measures in response to the COVID-19 outbreak. The Oxford COVID-19 Government Response Tracker (OxCGRT) aims track and compare government responses to the coronavirus outbreak worldwide rigorously and consistently.

The OxCGRT systematically collects information on several different common policy responses governments have taken, scores the stringency of such measures, and aggregates these scores into a common Stringency Index. For more, please visit > https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker

Context

Complete COVID-19 dataset is a collection of the COVID-19 data maintained by Our World in Data. It is updated daily and includes data on confirmed cases, deaths, hospitalizations, testing, and vaccinations as well as other variables of potential interest.

Content

The variables represent all data related to confirmed cases, deaths, hospitalizations, and testing, as well as other variables of potential interest.
the columns are: iso_code, continent, location, date, total_cases, new_cases, new_cases_smoothed, total_deaths, new_deaths, new_deaths_smoothed, total_cases_per_million, new_cases_per_million, new_cases_smoothed_per_million, total_deaths_per_million, new_deaths_per_million, new_deaths_smoothed_per_million, reproduction_rate, icu_patients, icu_patients_per_million, hosp_patients, hosp_patients_per_million, weekly_icu_admissions, weekly_icu_admissions_per_million, weekly_hosp_admissions, weekly_hosp_admissions_per_million, total_tests, new_tests, total_tests_per_thousand, new_tests_per_thousand, new_tests_smoothed, new_tests_smoothed_per_thousand, positive_rate, tests_per_case, tests_units, total_vaccinations, people_vaccinated, people_fully_vaccinated, new_vaccinations, new_vaccinations_smoothed, total_vaccinations_per_hundred, people_vaccinated_per_hundred, people_fully_vaccinated_per_hundred, new_vaccinations_smoothed_per_million, stringency_index, population, population_density, median_age, aged_65_older, aged_70_older, gdp_per_capita, extreme_poverty, cardiovasc_death_rate, diabetes_prevalence, female_smokers, male_smokers, handwashing_facilities, hospital_beds_per_thousand, life_expectancy, human_development_index

Acknowledgements/ Data Source

https://systems.jhu.edu/research/public-health/ncov/ https://www.ecdc.europa.eu/en/publications-data/download-data-hospital-and-icu-admission-rates-and-current-occupancy-covid-19 https://coronavirus.data.gov.uk/details/healthcare https://covid19tracker.ca/ https://healthdata.gov/dataset/covid-19-reported-patient-impact-and-hospital-capacity-state-timeseries https://ourworldindata.org/coronavirus-testing#our-checklist-for-covid-19-testing-data

COVID-19 UK Non-hospital Antigen Testing Results (Pillar 2) data is required by NHS Digital to support COVID-19 requests for linkage, analysis and dissemination.

Replication code for "On the persistence of mental health deterioration during the COVID-19 pandemic by sex and ethnicity in the UK: evidence from Understanding Society" accepted for publication in The B.E. Journal of Economic Analysis & Policy. The replication code uses data from Understanding Society. Researchers who would like to use Understanding Society need to register with the UK Data Service before being allowed to apply for or download datasets. More information: https://www.understandingsociety.ac.uk/documentation/access-data.

Files to replicate "Internet and mental health during the COVID-19 pandemic: Evidence from the UK", published in the Oxford Open Economics journal: https://doi.org/10.1093/ooec/odac007 The replication files use data from Understanding Society. Understanding Society is an initiative funded by the Economic and Social Research Council and various Government Departments, with scientific leadership by the Institute for Social and Economic Research, University of Essex, and survey delivery by NatCen Social Research and Kantar Public. The research data are distributed by the UK Data Service. Researchers who would like to use Understanding Society need to register with the UK Data Service before being allowed to apply for or download datasets. For more information visit: https://www.understandingsociety.ac.uk/documentation/access-data

To record the information required to evaluate the potential risk of Covid-19 infection, as part of professional screening or self-assessment. This is heavily based on the current NHS-111 UK self-assessment app at https://111.nhs.uk/covid-19 and a similar risk assessment app developed for pre-hospital admission by DIPS.no. The exact risk factors are subject to continual update as the disease progresses.

The current COVID-19 pandemic, caused by the SARS-CoV-2 virus, represents a major threat to health in the UK and globally. To fully understand the transmission and evolution of the virus requires sequencing and analysing viral genomes at scale and speed. The numbers of samples calls for a rapid increase in the UK’s pathogen genome sequencing capacity rapidly and robustly.

To provide this increased capacity to collect, sequence and analyse the whole genomes of virus samples in the UK, the COVID-19 Genomics UK (COG-UK) consortium is pooling the world leading knowledge and expertise in genomics of the four UK Public Health Agencies, multiple regional University hubs, and large sequencing centres such as the Wellcome Sanger Institute.

This replication archive contains all scripts and data necessary to replicate the analysis in “Risk and Preferences for Government Healthcare Spending: Evidence from the UK COVID-19 Crisis”.

The CONTRAST study explored how the Covid-19 (lockdown) restrictions affected lives of older children in the UK, particularly how they have influenced learning, eating, physical and other activities and wellbeing.

The Evidence for Equality National Survey (EVENS) is a national survey that documents the experiences and attitudes of ethnic and religious minorities in Britain. EVENS was developed by the Centre on the Dynamics of Ethnicity (CoDE) in response to the disproportionate impacts of COVID-19 and is the largest and most comprehensive survey of the lives of ethnic and religious minorities in Britain for more than 25 years. EVENS used pioneering, robust survey methods to collect data in 2021 from 14,200 participants of whom 9,700 identify as from an ethnic or religious minority. The EVENS main dataset, which is available from the UK Data Service under SN 9116, covers a large number of topics including racism and discrimination, education, employment, housing and community, health, ethnic and religious identity, and social and political participation.

The EVENS Teaching Dataset provides a selection of variables in an accessible form to support the use of EVENS in teaching across a range of subjects and levels of study. The dataset includes demographic data and variables to support the analysis of:

• racism and belonging
• health and well-being during COVID-19
• political attitudes and trust.

The purpose of this dataset is to understand the prevalence of COVID-19 in the UK population, including swab results, antibody tests and demographic information.

Local authorities have received and distributed funding to support small and medium businesses in England during coronavirus. The datasets cover schemes managed by local authorities: Additional Restrictions Support Grant (ARG) Restart Grant - closed June 2021 Local Restrictions Support Grants (LRSG) and Christmas support payments - closed 2021 Small Business Grants Fund (SBGF) - closed August 2020 Retail, Hospitality and Leisure Business Grants Fund (RHLGF) - closed August 2020 Local Authority Discretionary Grants Fund (LADGF) - closed August 2020 The spreadsheets show the total amount of money that each local authority in England: received from central government distributed to SMEs 20 December 2021 update We have published the latest estimates by local authorities for payments made under this grant programme: Additional Restrictions Grants (up to and including 28 November 2021) The number of grants paid out is not necessarily the same as the number of businesses paid. The data has not received full verification.

The Covid-19 UK Non-hospital Antibody Testing Results (Pillar 3) dataset, also referred to as iElisa, documents individuals that have undergone a finger prick test for antibodies from having had Covid-19.

The dataset contains patient-level data for adults and children with chronic kidney disease (CKD) or adults with an acute kidney injury (AKI) on dialysis who are under the care of NHS hospital renal centres in England, Northern Ireland and Wales and who have a positive laboratory test for SARS-CoV-2. The data were collected weekly, but this is now moving to monthly, and include patient identifiable information and limited socio-demographic and clinical data. Public Health Scotland submits aggregate data to the UKRR on a monthly basis. Data collection commenced in March 2020 and coverage of renal centres is very good (see COVID-19 surveillance reports here: https://renal.org/audit-research/publications-presentations/report/covid-19-surveillance-reports).

However, for those in the youth justice system, the impacts were likely to be exceptional. A disproportionate number of these children had complex needs, were from BAME backgrounds, had experienced school exclusions, and many came from groups with generally worse outcomes than average, including those with exposure to adverse childhood experiences (Bateman, 2017). The youth justice system faced a strange hiatus; on the one hand, criminal trials were delayed and arrests were down, while on the other, existing issues of BAME disproportionality, mental health, domestic abuse, and school engagement were areas of acute risk for justice-involved children. There was an urgent need to develop a clear understanding of the impact of the pandemic on these children and those who worked with them. Indeed, there had been a lack of focus on this group both from a political and media perspective.

We did know that the pandemic had had unprecedented implications and consequences for the youth justice system, from how professionals had to adapt to remote working, the delay of criminal trials, and the safety of children in custodial settings. Liaising with our youth justice colleagues, we knew that each stage of the youth justice system responded differently. This project brought together statutory partners, third sector organisations, senior national policy/decision-makers, and children with lived experiences. It provided a unique opportunity to gather insight and to produce impactful recommendations. By involving and working with children in our project, we addressed the usual top-down research hierarchies inherent in youth justice research and ensured that children's voices were prioritised.

The project collected data from a number of stakeholders. Aggregate data is made available from Wales and England, and redacted individual level data from England.

Expression Atlas is an open science resource that gives users a powerful way to find information about gene and protein expression.