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Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions

This study adds to an emerging literature on the factors associated with individual perceptions of COVID‐19 risks and decision‐making processes related to prevention behaviors. We conducted a survey in the Netherlands (N = 3600) in June–July 2020 when the first peak of COVID‐19 infections, hospitali...

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Autores principales: Botzen, W. J. Wouter, Duijndam, Sem J., Robinson, Peter J., van Beukering, Pieter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078638/
https://www.ncbi.nlm.nih.gov/pubmed/35092967
http://dx.doi.org/10.1111/risa.13882
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author Botzen, W. J. Wouter
Duijndam, Sem J.
Robinson, Peter J.
van Beukering, Pieter
author_facet Botzen, W. J. Wouter
Duijndam, Sem J.
Robinson, Peter J.
van Beukering, Pieter
author_sort Botzen, W. J. Wouter
collection PubMed
description This study adds to an emerging literature on the factors associated with individual perceptions of COVID‐19 risks and decision‐making processes related to prevention behaviors. We conducted a survey in the Netherlands (N = 3600) in June–July 2020 when the first peak of COVID‐19 infections, hospitalizations, and deaths had passed, and lockdown measures had been eased. Dutch policies relied heavily on individual prevention behaviors to mitigate a second infection wave. We examine whether biases and heuristics that have been observed in how people perceive and respond to other risks also apply to the newly emergent risks posed by COVID‐19. The results indicate that people simplify risk using threshold models and that risk perceptions are related with personal experiences with COVID‐19 and experiences of close others, supporting the availability heuristic. We also observe that prevention behavior is more strongly associated with COVID‐19 risk perceptions and feelings toward the risk than with local indicators of COVID‐19 risks, and that prevention behavior is related with herding. Support for government lockdown measures is consistent with preferences that may contribute to the not‐in‐my‐term‐of‐office bias. In addition, we offer insights into the role of trust, worry, and demographic characteristics in shaping perceptions of COVID‐19 risks and how these factors relate with individual prevention behaviors and support for government prevention measures. We provide several lessons for the design of policies that limit COVID‐19 risks, including risk communication strategies and appeals to social norms. Perhaps more importantly, our analysis allows for learning lessons to mitigate the risks of future pandemics.
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spelling pubmed-100786382023-04-07 Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions Botzen, W. J. Wouter Duijndam, Sem J. Robinson, Peter J. van Beukering, Pieter Risk Anal Original Articles This study adds to an emerging literature on the factors associated with individual perceptions of COVID‐19 risks and decision‐making processes related to prevention behaviors. We conducted a survey in the Netherlands (N = 3600) in June–July 2020 when the first peak of COVID‐19 infections, hospitalizations, and deaths had passed, and lockdown measures had been eased. Dutch policies relied heavily on individual prevention behaviors to mitigate a second infection wave. We examine whether biases and heuristics that have been observed in how people perceive and respond to other risks also apply to the newly emergent risks posed by COVID‐19. The results indicate that people simplify risk using threshold models and that risk perceptions are related with personal experiences with COVID‐19 and experiences of close others, supporting the availability heuristic. We also observe that prevention behavior is more strongly associated with COVID‐19 risk perceptions and feelings toward the risk than with local indicators of COVID‐19 risks, and that prevention behavior is related with herding. Support for government lockdown measures is consistent with preferences that may contribute to the not‐in‐my‐term‐of‐office bias. In addition, we offer insights into the role of trust, worry, and demographic characteristics in shaping perceptions of COVID‐19 risks and how these factors relate with individual prevention behaviors and support for government prevention measures. We provide several lessons for the design of policies that limit COVID‐19 risks, including risk communication strategies and appeals to social norms. Perhaps more importantly, our analysis allows for learning lessons to mitigate the risks of future pandemics. John Wiley and Sons Inc. 2022-01-29 2022-12 /pmc/articles/PMC10078638/ /pubmed/35092967 http://dx.doi.org/10.1111/risa.13882 Text en © 2022 The Authors. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Botzen, W. J. Wouter
Duijndam, Sem J.
Robinson, Peter J.
van Beukering, Pieter
Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions
title Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions
title_full Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions
title_fullStr Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions
title_full_unstemmed Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions
title_short Behavioral biases and heuristics in perceptions of COVID‐19 risks and prevention decisions
title_sort behavioral biases and heuristics in perceptions of covid‐19 risks and prevention decisions
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078638/
https://www.ncbi.nlm.nih.gov/pubmed/35092967
http://dx.doi.org/10.1111/risa.13882
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