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Patterns of social mixing in England changed in line with restrictions during the COVID-19 pandemic (September 2020 to April 2022)

dataset
posted on 2024-01-24, 17:07 authored by Louise SmithLouise Smith, James RubinJames Rubin

Social mixing contributes to the transmission of SARS-CoV-2. We developed a composite measure for risky social mixing, investigating changes during the pandemic and factors associated with risky mixing. Forty-five waves of online cross-sectional surveys were used (n = 78,917 responses; 14 September 2020 to 13 April 2022). We investigated socio-demographic, contextual and psychological factors associated with engaging in highest risk social mixing in England at seven timepoints. Patterns of social mixing varied over time, broadly in line with changes in restrictions. Engaging in highest risk social mixing was associated with being younger, less worried about COVID-19, perceiving a lower risk of COVID-19, perceiving COVID-19 to be a less severe illness, thinking the risks of COVID-19 were being exaggerated, not agreeing that one’s personal behaviour had an impact on how COVID-19 spreads, and not agreeing that information from the UK Government about COVID-19 can be trusted. Our composite measure for risky social mixing varied in line with restrictions in place at the time of data collection, providing some validation of the measure. While messages targeting psychological factors may reduce higher risk social mixing, achieving a large change in risky social mixing in a short space of time may necessitate a reimposition of restrictions.

Funding

Evaluating and improving communication with the public during a pandemic, using rapid turn around telephone surveys

NIHR Evaluation Trials and Studies Coordinating Centre

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Department of Health and Social Care

History

Geospatial coverage

England

Data collection from date

2020/09/14

Data collection to date

2022/04/13

Collection method

Online survey. Participants were eligible to take part if they lived in the UK and were aged 16 years or older. Participants were recruited from two specialist research panel providers (Respondi, n=50,000; Savanta, n=31,500) using quota sampling (age and gender combined, and region). These are people who have signed up to take part in online surveys. Consent was implied by participants’ completion of the survey, as is the industry standard. Data were collected in line with the terms and conditions that people agreed to when signing up to be a member of the research panel.

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    Institute of Psychiatry, Psychology & Neuroscience

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