The share of in-class content covered by remote learning materials at schools in the United Kingdom increased significantly between December 2020 and January 2021, rising from ** percent to ** percent in Primary schools, and from ** percent to ** percent at Secondary schools. This increase was due to schools generally closing their doors to regular attendance in early 2021, as the Coronavirus pandemic situation worsened in the UK.

Initial estimates of staff and pupils testing positive for the coronavirus (COVID-19) across a sample of schools within selected local authority areas in England.

Impact of the coronavirus (COVID-19) pandemic on young people and schools, including analysis of face coverings and remote learning, and breakdowns by age and sex where possible. Indicators from the Schools Infection Survey.

Cox models of days to first Covid-19 webpage.

This file contains weekly attendance data at local authority level for state-funded education settings for each Thursday excluding half term and Easter dates. The data is shown for each local authority and is further split by the following school phases:state-funded secondary schoolsstate-funded primary schoolsstate-funded special schoolsall state-funded schools.Data is in this file has not been scaled to account for non-response so it is not nationally representative.

Estimates from the Schools Infection Survey of pupils testing positive for SARS-CoV-2 antibodies. Including breakdowns by age, sex and region where possible.

Explore Education Statistics data set Table 1 - Daily attendance in state funded schools during the COVID-19 outbreak From 1 September from Attendance in education and early years settings during the coronavirus (COVID-19) pandemic

These replication files include data and Stata estimation code for: “Variation in the timing of Covid-19 communication across universities in the UK” by Alejandro Quiroz Flores, Farhana Liza, Husam Quteineh, Barbara Czarnecka.

This file contains daily attendance data for state-funded education settings for dates excluding half term and Easter dates. Half term includes 19th October - 23rd October 2020, 2nd November 2020, and 15 February - 19 February 2021. Easter dates include 29 March 2021 - 19 April 2021.Data is in this file has been scaled to account for non-response so it is nationally representative.Further details on the column headings can be found in the “Table 1b variable additions and removal log” ancillary file.

This file contains daily attendance data for state-funded education settings for dates excluding half term and Easter dates. Data is in this file has been scaled to account for non-response so it is nationally representative.Further details on the column headings can be found in the “Table 1b variable additions and removal log” ancillary file.

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.

Potential impact of the coronavirus (COVID-19) pandemic on young people and schools, including analysis of physical activity and eating behaviours, and breakdowns by age and sex where possible. Indicators from the Schools Infection Survey.

Context

During COVID-19, different countries have put containment measures that include lockdowns and restrictive movement. Oxford University has done a research and created a numerical index which statistically measures the intensity of a restrictive measure.

Content

This is a time-series data of different countries representing measure of stringency on each day for the period of Jan-April 2020.

Acknowledgements

This dataset is a part of Oxford University research.

Inspiration

This data was used in the understanding of effect of countermeasures against the spread of COVID-19.

This paper draws upon the concept of recreancy to examine the mental well-being of university students during the Covid-19 pandemic. Briefly, recreancy is loss of societal trust that results when institutional actors can no longer be counted on to perform their responsibilities. Our study of mental well-being and recreancy focuses on the role of universities and government regulators within the education sector. We surveyed 600 UK students attending 161 different public higher education providers in October 2020 during a time when many UK students were isolated in their residences and engaged in online learning. We assessed student well-being using the Short Warwick-Edinburgh Mental Well-being Scale (scored 7–35) and found the mean score to be 19.9 [95% confidence interval (CI) 19.6, 20.2]. This level of well-being indicates that a significant proportion of UK students face low levels of mental well-being. Structural equation modeling (SEM) analysis indicates that high recreancy—measured as a low trust in universities and the government—is associated with low levels of mental well-being across the student sample. While these findings are suggestive, they are also important and we suggest that government and university leaders should not only work to increase food and housing security during the Covid-19 pandemic, but also consider how to combat various sector trends that might intensify recreancy.

These files comprise the publicly available data for the COG-UK hospital-onset COVID-19 infection study. The individual CSV files provided are: - HOCI_public_dataset: Anonymized version of main study dataset, with one row per HOCI case included in the final analysis - HOCI_public_varlist: Variable descriptions for main study dataset - epi_data_combined: Weekly data on total SARS-CoV-2 +ve (cov_pos_epi) and -ve (cov_neg_epi) inpatients at each study site -community_incidence_summary: Weekly local community incidence data for each study site, per 100,000 people per week, obtained from UK government testing dashboard and weighted according to outer postcodes of inpatients at each site.

Notes on anonymisation: HOCI_public_dataset is an anonymised version of the main HOCI study database. In order to fully anonymise individuals, and because the focus of the study was on infection control actions rather than patient outcomes, all individual-level patient demographic and clinical characteristics have been removed. Site and ward names have been changed to anonymized codes, and all free text fields have been removed as some of these contained unblinded details of hospitals and wards. All date fields have been removed, with study week of SARS-CoV-2 +ve test result for each HOCI case provided.

Notes on acronyms: In ‘HOCI_public_varlist’, the following acronyms are used: AGP, aerosol-generating procedure CR, contact restrictions CT, contact tracing DIPC, Director of IPC HCAI, healthcare-associated infection HCW, healthcare worker IPC, infection prevention and control SR, sequence report SRO, sequence report output QM, quality management