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Article . 2020
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HAL Sorbonne Université
Article . 2020
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L Encéphale
Article . 2020
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[Coronavirus: Predictive brain and terror management].

Authors: Bottemanne, Hugo; Morlaàs, O.; Schmidt, L.; Fossati, P.;

[Coronavirus: Predictive brain and terror management].

Abstract

Les maladies infectieuses émergentes comme le Covid-19 représentent une menace majeure pour la santé mondiale. Lorsqu’ils sont confrontés à de nouveaux agents pathogènes, les individus génèrent de nombreuses croyances à propos du phénomène épidémique. Plusieurs études ont montré que les comportements individuels de protection dépendent largement de ces croyances. En raison de l’absence de traitement et de vaccin contre ces pathogènes émergents, le lien entre ces croyances et ces comportements représente un enjeu crucial pour les politiques de santé publique. Dans les prémisses de la pandémie de Covid-19, plusieurs études préliminaires ont souligné un retard dans la perception du risque par les individus, participant à une difficulté à mettre en place les mesures de précaution nécessaires : les individus avaient tendance à sous-estimer les risques associés au virus, et l’importance des mesures de prévention. Au cours du pic de la pandémie, la saillance de la menace et des informations associées au risque de mortalité pourraient ensuite avoir transformé la manière dont les individus génèrent leurs croyances, entraînant des bouleversements dans leurs modèles du monde. Nous proposons ici d’explorer l’évolution des croyances et des comportements au cours de la crise du Covid-19 en nous appuyant sur la théorie du codage prédictif et la théorie de la gestion de la terreur, deux conceptions influentes en sciences cognitives et en psychologie sociale.

Emerging infectious diseases like Covid-19 cause a major threat to global health. When confronted with new pathogens, individuals generate several beliefs about the epidemic phenomenon. Many studies have shown that individual protective behaviors largely depend on these beliefs. Due to the absence of treatment and vaccine against these emerging pathogens, the relation between these beliefs and these behaviors represents a crucial issue for public health policies. In the premises of the Covid-19 pandemic, several preliminary studies have highlighted a delay in the perception of risk by individuals, which potentially holds back the implementing of the necessary precautionary measures: people underestimated the risks associated with the virus, and therefore also the importance of complying with sanitary guidelines. During the peak of the pandemic, the salience of the threat and of the risk of mortality could then have transformed the way people generate their beliefs. This potentially leads to upheavals in the way they understand the world. Here, we propose to explore the evolution of beliefs and behaviors during the Covid-19 crisis, using the theory of predictive coding and the theory of terror management, two influential frameworks in cognitive science and in social psychology.

Country
France
Keywords

Protective Devices, Culture, Health Behavior, Pneumonia, Viral, Brain, COVID-19, Denial, Psychological, Guidelines as Topic, Hygiene, Fear, Models, Psychological, [SDV] Life Sciences [q-bio], Health Risk Behaviors, [SHS.PHIL] Humanities and Social Sciences/Philosophy, Betacoronavirus, [SHS.HISPHILSO] Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, Adaptation, Psychological, Communicable Disease Control, Humans, Guideline Adherence, Coronavirus Infections, Attitude to Health, Pandemics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
Green
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