Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States.

COVID-19 coronavirus pandemic protective behaviour risk perception

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 01 05 2020
accepted: 07 09 2020
entrez: 13 10 2020
pubmed: 14 10 2020
medline: 14 10 2020
Statut: epublish

Résumé

Efforts to change behaviour are critical in minimizing the spread of highly transmissible pandemics such as COVID-19. However, it is unclear whether individuals are aware of disease risk and alter their behaviour early in the pandemic. We investigated risk perception and self-reported engagement in protective behaviours in 1591 United States-based individuals cross-sectionally and longitudinally over the first week of the pandemic. Subjects demonstrated growing awareness of risk and reported engaging in protective behaviours with increasing frequency but underestimated their risk of infection relative to the average person in the country. Social distancing and hand washing were most strongly predicted by the perceived probability of personally being infected. However, a subgroup of individuals perceived low risk and did not engage in these behaviours. Our results highlight the importance of risk perception in early interventions during large-scale pandemics.

Identifiants

pubmed: 33047037
doi: 10.1098/rsos.200742
pii: rsos200742
pmc: PMC7540790
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5120379']

Types de publication

Journal Article

Langues

eng

Pagination

200742

Subventions

Organisme : Wellcome Trust
ID : 206460/Z/17/Z
Pays : United Kingdom

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

We declare we have no competing interests.

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Auteurs

Toby Wise (T)

Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.
Wellcome Centre for Human Neuroimaging, University College London, London, UK.

Tomislav D Zbozinek (TD)

Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.

Giorgia Michelini (G)

Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.

Cindy C Hagan (CC)

Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.

Dean Mobbs (D)

Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Computational Neural Systems Program, California Institute of Technology, Pasadena, CA, USA.

Classifications MeSH