The influence of risk perceptions on close contact frequency during the SARS-CoV-2 pandemic.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
25 03 2022
Historique:
received: 02 11 2021
accepted: 16 03 2022
entrez: 26 3 2022
pubmed: 27 3 2022
medline: 5 4 2022
Statut: epublish

Résumé

Human behaviour is known to be crucial in the propagation of infectious diseases through respiratory or close-contact routes like the current SARS-CoV-2 virus. Intervention measures implemented to curb the spread of the virus mainly aim at limiting the number of close contacts, until vaccine roll-out is complete. Our main objective was to assess the relationships between SARS-CoV-2 perceptions and social contact behaviour in Belgium. Understanding these relationships is crucial to maximize interventions' effectiveness, e.g. by tailoring public health communication campaigns. In this study, we surveyed a representative sample of adults in Belgium in two longitudinal surveys (survey 1 in April 2020 to August 2020, and survey 2 in November 2020 to April 2021). Generalized linear mixed effects models were used to analyse the two surveys. Participants with low and neutral perceptions on perceived severity made a significantly higher number of social contacts as compared to participants with high levels of perceived severity after controlling for other variables. Our results highlight the key role of perceived severity on social contact behaviour during a pandemic. Nevertheless, additional research is required to investigate the impact of public health communication on severity of COVID-19 in terms of changes in social contact behaviour.

Identifiants

pubmed: 35338202
doi: 10.1038/s41598-022-09037-8
pii: 10.1038/s41598-022-09037-8
pmc: PMC8951651
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5192

Subventions

Organisme : Research Council (ERC) under the European Union's Horizon 2020 research and innovation program
ID : 682540 TransMID
Organisme : Fonds voor Wetenschappelijk Onderzoek (FWO)
ID : postdoctoral fellowship 1234620N
Organisme : Global Challenges Research Fund (GCRF) project 'RECAP' managed through RCUK and ESRC
ID : ES/P010873/1
Organisme : NIHR
ID : PR-OD-1017-20002
Organisme : Medical Research Council
ID : MC_PC_19065
Pays : United Kingdom
Organisme : European Research Council
Pays : International

Informations de copyright

© 2022. The Author(s).

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Auteurs

James Wambua (J)

UHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium. james.wambua@uhasselt.be.

Lisa Hermans (L)

UHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.

Pietro Coletti (P)

UHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.

Frederik Verelst (F)

Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2610, Antwerp, Belgium.

Lander Willem (L)

Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2610, Antwerp, Belgium.

Christopher I Jarvis (CI)

Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Amy Gimma (A)

Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Kerry L M Wong (KLM)

Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Adrien Lajot (A)

Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.

Stefaan Demarest (S)

Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.

W John Edmunds (WJ)

Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Christel Faes (C)

UHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.

Philippe Beutels (P)

Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2610, Antwerp, Belgium.
School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW, 2033, Australia.

Niel Hens (N)

UHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.
Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2610, Antwerp, Belgium.

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