In May 2020, a survey carried out in the UK found that 79 percent of British respondents overall reported they were following the lockdown rules as strictly as when they came into force. Although, a quarter of respondents in the age group 18 to 34 years reported to becoming more relaxed and not quite following the restrictions to their full strictness.

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

Data on how people in the UK spent their time in March 2022 compared with before the coronavirus pandemic, using Time-use survey data from 2022 and Time-use study data from 2014 to 2015. These data also contains estimates on how people spent their time throughout the pandemic and estimates by different demographics, including by sex, ethnicity, income and disability status.

In May 2020, a survey carried out in the UK found that the 80 percent of British respondents overall reported that most people they knew had been obeying the lockdown rules. The respondents were more skeptical of the wider public as only 67 percent that most people in the UK were obeying the lockdown rules.

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

Estimates of the prevalence of self-reported long COVID and associated activity limitation, using UK Coronavirus (COVID-19) Infection Survey data. Experimental Statistics.

COVID-19 is a infectious Disease which has infected more than 500 people in UK and many more people world-wide.

Acknowledgements Sincere thanks to Public Health England and Local governments. Source of Data: UK Government and Public Health UK

****Notes on the methodology**** This service shows case numbers as reported to Public Health England (PHE), matched to Administrative Geography Codes from the Office of National Statistics. Cases include people who have recovered.

Events are time-stamped on the date that PHE was informed of the new case or death.

The map shows circles that grow or shrink in line with the number of cases in that geographic area.

Data from Scotland, Wales and Northern Ireland is represented on the charts, total indicators and on the country level map layer.

Contains Ordnance Survey data © Crown copyright and database right 2020. Contains National Statistics data © Crown copyright and database right 2020.

Terms of Use No special restrictions or limitations on using the item’s content have been provided.

According to a survey measuring the sentiment of United Kingdom (UK) consumers undertaking daily activities amid the easing of COVID-19 restrictions, all reported feel more comfortable undertaking daily activities in ********* as compared to ********. The daily activity in which UK consumers feel most comfortable undertaking is walking in public. This daily activity also saw the greatest change in comfortableness from May to July, where in May only ** percent of UK consumer's felt comfortable walking in public and in July 73 percent felt comfortable doing so. The daily activity in which UK consumer's feel least comfortable undertaking, despite the easing of lockdown restrictions is trying on clothes in a store. Only ** percent surveyed stated they feel comfortable trying on clothes in a store in *********.

The Centre for Longitudinal Studies (CLS) and the MRC Unit for Lifelong Health and Ageing (LHA) have carried out two online surveys of the participants of five national longitudinal cohort studies which have collected insights into the lives of study participants including their physical and mental health and wellbeing, family and relationships, education, work, and finances during the coronavirus pandemic. The Wave 1 Survey was carried out at the height of lockdown restrictions in May 2020 and focussed mainly on how participants’ lives had changed from just before the outbreak of the pandemic in March 2020 until then. The Wave 2 survey was conducted in September/October 2020 and focussed on the period between the easing of restrictions in June through the summer into the autumn. A third wave of the survey was conducted in early 2021.

In addition, CLS study members who had participated in any of the three COVID-19 Surveys were invited to provide a finger-prick blood sample to be analysed for COVID-19 antibodies. Those who agreed were sent a blood sample collection kit and were asked to post back the sample to a laboratory for analysis. The antibody test results and initial short survey responses are included in a single dataset, the COVID-19 Antibody Testing in the National Child Development Study, 1970 British Cohort Study, Next Steps and Millennium Cohort Study, 2021 (SN 8823).

The CLS studies are:

• Millennium Cohort Study (born 2000-02) both cohort members and parents (MCS)
• Next Steps (born 1989-90) (NS)
• 1970 British Cohort Study (BCS70)
• 1958 National Child Development Study (NCDS).

The LHA study is:

• MRC National Survey of Health and Development, 1946 British birth cohort (NSHD)

The content of the MCS, NS, BCS70 and NCDS COVID-19 studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

The COVID-19 Survey in Five National Longitudinal Cohort Studies: Millennium Cohort Study, Next Steps, 1970 British Cohort Study and 1958 National Child Development Study, 2020-2021 contains the data from waves 1, 2 and 3 for the 4 cohort studies. The data from all four CLS cohorts are included in the same dataset, one for each wave.

The COVID-19 Survey data for the 1946 birth cohort study (NSHD) run by the LHA is held under "https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8732" style="background-color: rgb(255, 255, 255);">SN 8732 and available under Special Licence access conditions.

Latest edition information
For the fourth edition (June 2022), the following minor corrections have been made to the wave 3 data:

• corrections to a small number of cases where CW3_GROW and CW3_GROWB were incorrectly calculated
• recoded values and reformatted the code list for CW3_COVIDVAC as the original value of 3 was removed from the final version of the survey
  

According to a survey carried out in the UK in November 2020, 54 percent of respondents supported strict coronavirus measures remaining in place for Christmas, while 33 percent felt restrictions should be eased for a few days for Christmas even if that means stricter rules are needed to be reapplied in January. The highest support for restrictions to remain strict over the festive period is found in the older age groups.

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

Monthly figures on the attitudes of UK and overseas residents arriving in and departing from the UK towards social distancing, mask wearing, and coronavirus (COVID-19) restrictions and the proportion who had been vaccinated, using unweighted results from the International Passenger Survey for the period covering February 2021 to March 2022 and the Civil Aviation Authority’s Departing Passengers Survey for the period covering June 2021 to December 2021 (Experimental Statistics).

COVID-19 and COVID-related decisions are having significant impacts on children and adults vulnerable to, and already experiencing, the crime of forced marriage. This mixed-methods project aimed to chart and understand this impact, inform evaluation of the UK's response to COVID-19, and shape on-going policy regarding the UK's pandemic response. This collection includes a timeline of key COVID-19 related events and government restrictions. This includes key data such as when COVID-19 (and variations) was discovered, and when significant case numbers were reached globally and in the UK. It also includes detail of when key forced marriage-related COVID-19 restrictions were brought in, and lifted, in 2020, and 2021, across the UK and also in each of the devolved jurisdictions. Plus processed data from this timeline, including visualisations.COVID-19 and COVID-related decisions are having significant impacts on children and adults vulnerable to, and already experiencing, the crime of forced marriage. Our mixed-methods project will chart and understand this impact, inform evaluation of the UK's response to COVID-19, and shape on-going policy regarding the UK's pandemic response. We consider the uneven economic and social impact of the pandemic, and the ethical dimensions of unequal impacts of COVID-related decision-making, on this vulnerable group, and seek to impact how civil society and the voluntary sector support vulnerable people. The government's Forced Marriage Unit (FMU) and the charity Karma Nirvana (KN) (which provides a national forced marriage helpline) have warned about the significant impact of the pandemic on forced marriage in the UK. We designed this project with both organisations, and will work with them to analyse quantitative and qualitative data about the impact of COVID-19 on those at risk of, or experiencing, forced marriage; and to record and analyse the challenges faced in the pandemic, evaluate the efficacy of mitigation strategies, and formulate new policies and practises for protection and response. Within the first 6 months, we will have co-created an accurate account of the economic and social impact of COVID-19 and COVID-related decision-making on victims of forced marriage, and the ethical implications of unequal impacts. We will then continue to chart the changing risk environment, while co-developing policy reports and recommendations for the UK government (including FMU), NGO practice responses (including KN), and other stakeholders, to improve the on-going response to COVID-19 and build community resilience. We collected information from public websites, including UK government website, official airline carrier websites (and their Twitter feeds), and news media. We were particularly interested in a pre-set set of criteria, including: regulations relating to national and local “lockdowns” (or “stay at home” orders), restrictions on gatherings, school closures, restrictions relating to weddings, closures or access to places of religion, travel and shielding. In addition, we looked for any key dates or statistics for the pandemic at a global scale, and international travel restrictions relating to Pakistan, India, Bangladesh and Afghanistan (because these are countries which regularly feature as "focus countries" in Forced Marriage Unit Data. We took a chronological approach, starting with UK-wide and global events, then focusing on England, Wales, Scotland, Northern Ireland, and other countries. We made visulisations of data on regional and local lockdowns in 2020 using tableau, and also used the data collected to count how many days regions in England were under different Covid-19 restrictions relevant to vulnerability to forced marriage.

Risk-level assignments, by activity, location and co-presence categories.

In May 2020, a survey carried out in the United Kingdom found that five percent of Brits had been frequently visiting friends they don't live with during the coronavirus lockdown period, while five percent also say they have been regularly visiting family during this period. The government recommends that during the lockdown period people should only go outside for one form of exercise a day, but eight percent of survey respondents said they periodically go out for more than once for exercise. The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

This is the README file for the scripts of the preprint "Self-Perceived Loneliness and Depression During the COVID-19 Pandemic: a Two-Wave Replication Study" by Carollo et al. (2022)

Access the pre-print here: https://ucl.scienceopen.com/document/read?vid=0769d88b-e572-48eb-9a71-23ea1d32cecf

Abstract: Background: The global COVID-19 pandemic has forced countries to impose strict lockdown restrictions and mandatory stay-at-home orders with varying impacts on individual’s health. Combining a data-driven machine learning paradigm and a statistical approach, our previous paper documented a U-shaped pattern in levels of self-perceived loneliness in both the UK and Greek populations during the first lockdown (17 April to 17 July 2020). The current paper aimed to test the robustness of these results by focusing on data from the first and second lockdown waves in the UK. Methods: We tested a) the impact of the chosen model on the identification of the most time-sensitive variable in the period spent in lockdown. Two new machine learning models - namely, support vector regressor (SVR) and multiple linear regressor (MLR) were adopted to identify the most time-sensitive variable in the UK dataset from wave 1 (n = 435). In the second part of the study, we tested b) whether the pattern of self-perceived loneliness found in the first UK national lockdown was generalizable to the second wave of UK lockdown (17 October 2020 to 31 January 2021). To do so, data from wave 2 of the UK lockdown (n = 263) was used to conduct a graphical and statistical inspection of the week-by-week distribution of self-perceived loneliness scores. Results: In both SVR and MLR models, depressive symptoms resulted to be the most time-sensitive variable during the lockdown period. Statistical analysis of depressive symptoms by week of lockdown resulted in a U-shaped pattern between week 3 to 7 of wave 1 of the UK national lockdown. Furthermore, despite the sample size by week in wave 2 was too small for having a meaningful statistical insight, a qualitative and descriptive approach was adopted and a graphical U-shaped distribution between week 3 and 9 of lockdown was observed. Conclusions: Consistent with past studies, study findings suggest that self-perceived loneliness and depressive symptoms may be two of the most relevant symptoms to address when imposing lockdown restrictions.

In particular, the folder includes the scripts for the pre-processing, training, and post-processing phases of the research.

==== PRE-PROCESSING WAVE 1 DATASET ==== - "01_preprocessingWave1.py": this file include the pre-processing of the variables of interest for wave 1 data; - "02_participantsexcludedWave1.py": this file include the script adopted to implement the exclusion criteria of the study for wave 1 data; - "03_countryselectionWave1.py": this file include the script to select the UK dataset for wave 1.

==== PRE-PROCESSING WAVE 2 DATASET ==== - "04_preprocessingWave1.py": this file include the pre-processing of the variables of interest for wave 2 data; - "05_participantsexcludedWave1.py": this file include the script adopted to implement the exclusion criteria of the study for wave 2 data; - "06_countryselectionWave1.py": this file include the script to select the UK dataset for wave 2.

==== TRAINING ==== - "07_MLR.py": this file includes the script to run the multiple regression model; - "08_SVM.py": this file includes the script to run the support vector regression model.

==== POST-PROCESSING: STATISTICAL ANALYSIS ==== - "09_KruskalWallisTests.py": this file includes the script to run the multipair and the pairwise Kruskal-Wallis tests.

Time Use Survey data show changes in how people spent their time during coronavirus (COVID-19) restrictions in March and April 2020, September to October 2020 and March 2021, as well as before the pandemic. It also includes Opinions and Lifestyle Survey data on behaviours following vaccination in Great Britain from 19 May to 13 June 2021.

Data on adult's perception of the importance of compliance behaviours (hand washing or sanitising, social distancing, face coverings and ventilation) to slow the spread of coronavirus (COVID-19) and actions taken during home visits. Data from the Opinions and Lifestyle Survey.

An October 2020 survey conducted in the United Kingdom (UK) showed that half of individuals in the UK would not be bothered if the British government extended the coronavirus restrictions over the Christmas period. Younger individuals seemed more likely to be distressed by restrictions being in place: ** percent of the respondents in the age group ***** stated they would mind if restrictions extended over the holiday season 'a fair amount'.