ArticlePLoS medicine2022
Changes in social contacts in England during the COVID-19 pandemic between March 2020 and March 2021 as measured by the CoMix survey: A repeated cross-sectional study.
Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.
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Who cites it
90 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.
- Pooled it
- Disentangling the drivers of heterogeneity in SARS-CoV-2 transmission from data on viral load and daily contact rates.PLoS computational biology · 2026Article
- The impact of shielding on COVID-19 hospitalisations and deaths during 2020 in England: a transmission modelling evaluation using the OpenSAFELY platform.BMC medicine · 2026Article
- On the evolution of the company we keep: Implications for infectious disease modeling.PLoS medicine · 2026Article
- Social contact patterns in the United Kingdom following the COVID-19 pandemic: The Reconnect cross-sectional survey.PLoS medicine · 2026Article
- Rapid Epidemiological Data Collection on Social Media for COVID-19: Comparative Study Between Online Surveys and Conventional Cohorts.Journal of medical Internet research · 2026Observational
- Post-pandemic changes in population immunity have reduced the likelihood of emergence of zoonotic coronaviruses.Nature communications · 2026Article
- Intraindividual variability in non-household contacts: a German longitudinal study, April 2020-December 2021.BMC infectious diseases · 2026Article
- Characterizing social behavior relevant for tuberculosis transmission in four low- and middle-income countries.BMC infectious diseases · 2026Article
- Mobility-driven synthetic contact matrices as a scalable solution for real-time pandemic response modeling.Nature communications · 2026Article
- Beyond binary: a machine-learning classification of childhood COVID-19 vaccination intentions using behavioural data.Population health metrics · 2025Article
- Temporal depressive symptom networks in older adults during the COVID-19 pandemic.Journal of mood and anxiety disorders · 2025Article
- Epidemiological characteristics of infectious mononucleosis among hospitalized children in Henan Province, China: a retrospective study.BMC infectious diseases · 2025Article
- Characterising non-household contact patterns relevant to respiratory transmission in the USA: analysis of a cross-sectional survey.The Lancet. Digital health · 2025Article
- Article
- Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness.Royal Society open science · 2025Article
- The effect of COVID-19 vaccination on change in contact and implications for transmission.Epidemics · 2025Article
- Addressing survey fatigue bias in longitudinal social contact studies to improve pandemic preparedness.Scientific reports · 2025Article
- Assessing the role of children in the COVID-19 pandemic in Belgium using perturbation analysis.Nature communications · 2025Article
- Social contact patterns in South Korea: an analysis of a survey conducted in 2023-2024.BMC infectious diseases · 2025Article
30 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundDuring the Coronavirus Disease 2019 (COVID-19) pandemic, the United Kingdom government imposed public health policies in England to reduce social contacts in hopes of curbing virus transmission. We conducted a repeated cross-sectional study to measure contact patterns weekly from March 2020 to March 2021 to estimate the impact of these policies, covering 3 national lockdowns interspersed by periods of less restrictive policies. METHODS AND
findingsThe repeated cross-sectional survey data were collected using online surveys of representative samples of the UK population by age and gender. Survey participants were recruited by the online market research company Ipsos MORI through internet-based banner and social media ads and email campaigns. The participant data used for this analysis are restricted to those who reported living in England. We calculated the mean daily contacts reported using a (clustered) bootstrap and fitted a censored negative binomial model to estimate age-stratified contact matrices and estimate proportional changes to the basic reproduction number under controlled conditions using the change in contacts as a scaling factor. To put the findings in perspective, we discuss contact rates recorded throughout the year in terms of previously recorded rates from the POLYMOD study social contact study. The survey recorded 101,350 observations from 19,914 participants who reported 466,710 contacts over 53 weeks. We observed changes in social contact patterns in England over time and by participants' age, personal risk factors, and perception of risk. The mean reported contacts for adults 18 to 59 years old ranged between 2.39 (95% confidence interval [CI] 2.20 to 2.60) contacts and 4.93 (95% CI 4.65 to 5.19) contacts during the study period. The mean contacts for school-age children (5 to 17 years old) ranged from 3.07 (95% CI 2.89 to 3.27) to 15.11 (95% CI 13.87 to 16.41). This demonstrates a sustained decrease in social contacts compared to a mean of 11.08 (95% CI 10.54 to 11.57) contacts per participant in all age groups combined as measured by the POLYMOD social contact study in 2005 to 2006. Contacts measured during periods of lockdowns were lower than in periods of eased social restrictions. The use of face coverings outside the home has remained high since the government mandated use in some settings in July 2020. The main limitations of this analysis are the potential for selection bias, as participants are recruited through internet-based campaigns, and recall bias, in which participants may under- or overreport the number of contacts they have made.
conclusionsIn this study, we observed that recorded contacts reduced dramatically compared to prepandemic levels (as measured in the POLYMOD study), with changes in reported contacts correlated with government interventions throughout the pandemic. Despite easing of restrictions in the summer of 2020, the mean number of reported contacts only returned to about half of that observed prepandemic at its highest recorded level. The CoMix survey provides a unique repeated cross-sectional data set for a full year in England, from the first day of the first lockdown, for use in statistical analyses and mathematical modelling of COVID-19 and other diseases.
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