Evidence map›Paper›PMID 35092967›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2022

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

W J Wouter Botzen, Sem J Duijndam, Peter J Robinson, Pieter van Beukering

Open access · hybridAbstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
12.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 34 citations in OpenAlex.

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  11. Behavioral biases and heuristics in perceptions of COVID-19 risks and prevention decisions.Risk analysis : an official publication of the Society for Risk Analysis · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

W J Wouter BotzenInstitute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam, The Netherlands.
Sem J DuijndamInstitute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam, The Netherlands.
Peter J RobinsonInstitute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0003-2833-8030
Pieter van BeukeringInstitute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam, The Netherlands.
Vrije Universiteit Amsterdam · NLUniversity of Applied Sciences Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19BiasCommunicable Disease ControlHeuristicsHumansTrustcoronavirusCOVID-19decision makingheuristicsrisk perceptions

Identifiers

PMID35092967
PMCPMC10078638
OpenAlexW4210723159

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.