Social contact patterns during the COVID-19 pandemic in 21 European countries - evidence from a two-year study.

COVID-19 pandemic Contact survey Physical distancing SARS-CoV-2 transmission Social contacts Social distance

Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
26 Apr 2023
Historique:
received: 04 09 2022
accepted: 31 03 2023
medline: 28 4 2023
pubmed: 27 4 2023
entrez: 26 4 2023
Statut: epublish

Résumé

Most countries have enacted some restrictions to reduce social contacts to slow down disease transmission during the COVID-19 pandemic. For nearly two years, individuals likely also adopted new behaviours to avoid pathogen exposure based on personal circumstances. We aimed to understand the way in which different factors affect social contacts - a critical step to improving future pandemic responses. The analysis was based on repeated cross-sectional contact survey data collected in a standardized international study from 21 European countries between March 2020 and March 2022. We calculated the mean daily contacts reported using a clustered bootstrap by country and by settings (at home, at work, or in other settings). Where data were available, contact rates during the study period were compared with rates recorded prior to the pandemic. We fitted censored individual-level generalized additive mixed models to examine the effects of various factors on the number of social contacts. The survey recorded 463,336 observations from 96,456 participants. In all countries where comparison data were available, contact rates over the previous two years were substantially lower than those seen prior to the pandemic (approximately from over 10 to < 5), predominantly due to fewer contacts outside the home. Government restrictions imposed immediate effect on contacts, and these effects lingered after the restrictions were lifted. Across countries, the relationships between national policy, individual perceptions, or personal circumstances determining contacts varied. Our study, coordinated at the regional level, provides important insights into the understanding of the factors associated with social contacts to support future infectious disease outbreak responses.

Sections du résumé

BACKGROUND BACKGROUND
Most countries have enacted some restrictions to reduce social contacts to slow down disease transmission during the COVID-19 pandemic. For nearly two years, individuals likely also adopted new behaviours to avoid pathogen exposure based on personal circumstances. We aimed to understand the way in which different factors affect social contacts - a critical step to improving future pandemic responses.
METHODS METHODS
The analysis was based on repeated cross-sectional contact survey data collected in a standardized international study from 21 European countries between March 2020 and March 2022. We calculated the mean daily contacts reported using a clustered bootstrap by country and by settings (at home, at work, or in other settings). Where data were available, contact rates during the study period were compared with rates recorded prior to the pandemic. We fitted censored individual-level generalized additive mixed models to examine the effects of various factors on the number of social contacts.
RESULTS RESULTS
The survey recorded 463,336 observations from 96,456 participants. In all countries where comparison data were available, contact rates over the previous two years were substantially lower than those seen prior to the pandemic (approximately from over 10 to < 5), predominantly due to fewer contacts outside the home. Government restrictions imposed immediate effect on contacts, and these effects lingered after the restrictions were lifted. Across countries, the relationships between national policy, individual perceptions, or personal circumstances determining contacts varied.
CONCLUSIONS CONCLUSIONS
Our study, coordinated at the regional level, provides important insights into the understanding of the factors associated with social contacts to support future infectious disease outbreak responses.

Identifiants

pubmed: 37101123
doi: 10.1186/s12879-023-08214-y
pii: 10.1186/s12879-023-08214-y
pmc: PMC10132446
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

268

Subventions

Organisme : European Research Council
ID : TransMID 682540
Pays : International
Organisme : European Research Council
ID : TransMID 682540
Pays : International
Organisme : European Research Council
ID : TransMID 682540
Pays : International

Investigateurs

Daniela Paolotti (D)
Michele Tizzani (M)
Ciro Cattuto (C)
Andrea Schmidt (A)
Gerald Gredinger (G)
Sophie Stumpfl (S)
Joaquin Baruch (J)
Tanya Melillo (T)
Henrieta Hudeckova (H)
Jana Zibolenova (J)
Zuzana Chladna (Z)
Magdalena Rosinska (M)
Marta Niedzwiedzka-Stadnik (M)
Krista Fischer (K)
Sigrid Vorobjov (S)
Hanna Sõnajalg (H)
Christian Althaus (C)
Nicola Low (N)
Martina Reichmuth (M)
Kari Auranen (K)
Markku Nurhonen (M)
Goranka Petrović (G)
Zvjezdana Lovric Makaric (ZL)
Sónia Namorado (S)
Constantino Caetano (C)
Ana João Santos (AJ)
Gergely Röst (G)
Beatrix Oroszi (B)
Márton Karsai (M)
Mario Fafangel (M)
Petra Klepac (P)
Natalija Kranjec (N)
Cristina Vilaplana (C)
Jordi Casabona (J)

Informations de copyright

© 2023. The Author(s).

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Auteurs

Kerry L M Wong (KLM)

Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. kerry.wong@lshtm.ac.uk.

Amy Gimma (A)

Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Pietro Coletti (P)

Data Science Institute, I-Biostat, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium.

Christel Faes (C)

Data Science Institute, I-Biostat, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium.

Philippe Beutels (P)

Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.
School of Public Health and Community Medicine, The University of New South Wales, Sydney, Australia.

Niel Hens (N)

Data Science Institute, I-Biostat, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium.
Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.

Veronika K Jaeger (VK)

Institute of Epidemiology and Social Medicine, University of Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.

Andre Karch (A)

Institute of Epidemiology and Social Medicine, University of Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.

Helen Johnson (H)

European Centre for Disease Prevention and Control (ECDC), Solna, Sweden.

WJohn Edmunds (W)

Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Christopher I Jarvis (CI)

Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

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