[Coronavirus: Predictive brain and terror management].
Identifieur interne : 000189 ( Main/Exploration ); précédent : 000188; suivant : 000190[Coronavirus: Predictive brain and terror management].
Auteurs : H. Bottemanne [France] ; O. Morlaàs [France] ; L. Schmidt [France] ; P. Fossati [France]Source :
- L'Encephale [ 0013-7006 ] ; 2020.
Descripteurs français
- KwdFr :
- Adaptation psychologique (MeSH), Adhésion aux directives (MeSH), Attitude envers la santé (MeSH), Betacoronavirus (MeSH), Comportement de réduction des risques (MeSH), Comportement en matière de santé (MeSH), Comportements à risque pour la santé (MeSH), Contrôle des maladies transmissibles (MeSH), Culture (sociologie) (MeSH), Dispositifs de protection (MeSH), Encéphale (physiologie), Gestion du risque (MeSH), Humains (MeSH), Hygiène (MeSH), Infections à coronavirus (prévention et contrôle), Infections à coronavirus (psychologie), Infections à coronavirus (épidémiologie), Modèles psychologiques (MeSH), Pandémies (prévention et contrôle), Peur (psychologie), Pneumopathie virale (prévention et contrôle), Pneumopathie virale (psychologie), Pneumopathie virale (épidémiologie), Précautions universelles (MeSH), Recommandations comme sujet (MeSH).
- MESH :
- physiologie : Encéphale.
- prévention et contrôle : Infections à coronavirus, Pandémies, Pneumopathie virale.
- psychologie : Infections à coronavirus, Peur, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Adaptation psychologique, Adhésion aux directives, Attitude envers la santé, Betacoronavirus, Comportement de réduction des risques, Comportement en matière de santé, Comportements à risque pour la santé, Contrôle des maladies transmissibles, Culture (sociologie), Dispositifs de protection, Gestion du risque, Humains, Hygiène, Modèles psychologiques, Précautions universelles, Recommandations comme sujet.
English descriptors
- KwdEn :
- Adaptation, Psychological (MeSH), Attitude to Health (MeSH), Betacoronavirus (MeSH), Brain (physiology), Communicable Disease Control (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Coronavirus Infections (psychology), Culture (MeSH), Denial, Psychological (MeSH), Fear (psychology), Guideline Adherence (MeSH), Guidelines as Topic (MeSH), Health Behavior (MeSH), Health Risk Behaviors (MeSH), Humans (MeSH), Hygiene (MeSH), Models, Psychological (MeSH), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Pneumonia, Viral (psychology), Protective Devices (MeSH), Risk Management (MeSH), Risk Reduction Behavior (MeSH), Universal Precautions (MeSH).
- MESH :
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- physiology : Brain.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- psychology : Coronavirus Infections, Fear, Pneumonia, Viral.
- Adaptation, Psychological, Attitude to Health, Betacoronavirus, Communicable Disease Control, Culture, Denial, Psychological, Guideline Adherence, Guidelines as Topic, Health Behavior, Health Risk Behaviors, Humans, Hygiene, Models, Psychological, Protective Devices, Risk Management, Risk Reduction Behavior, Universal Precautions.
Abstract
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.
DOI: 10.1016/j.encep.2020.05.012
PubMed: 32517998
PubMed Central: PMC7242918
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Devices</term><term>Risk Management</term><term>Risk Reduction Behavior</term><term>Universal Precautions</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adaptation psychologique</term><term>Adhésion aux directives</term><term>Attitude envers la santé</term><term>Betacoronavirus</term><term>Comportement de réduction des risques</term><term>Comportement en matière de santé</term><term>Comportements à risque pour la santé</term><term>Contrôle des maladies transmissibles</term><term>Culture (sociologie)</term><term>Dispositifs de protection</term><term>Gestion du risque</term><term>Humains</term><term>Hygiène</term><term>Modèles psychologiques</term><term>Précautions universelles</term><term>Recommandations comme sujet</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32517998</PMID><DateCompleted><Year>2020</Year><Month>07</Month><Day>13</Day></DateCompleted><DateRevised><Year>2020</Year><Month>07</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0013-7006</ISSN><JournalIssue CitedMedium="Internet"><Volume>46</Volume><Issue>3S</Issue><PubDate><Year>2020</Year><Month>Jun</Month></PubDate></JournalIssue><Title>L'Encephale</Title><ISOAbbreviation>Encephale</ISOAbbreviation></Journal><ArticleTitle>[Coronavirus: Predictive brain and terror management].</ArticleTitle><Pagination><MedlinePgn>S107-S113</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0013-7006(20)30098-1</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.encep.2020.05.012</ELocationID><Abstract><AbstractText>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.</AbstractText><CopyrightInformation>Copyright © 2020 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bottemanne</LastName><ForeName>H</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Control-Interoception-Attention team, Institut du cerveau et de la moelle épinière (ICM), UMR 7225/UMR_S 1127, Sorbonne University/CNRS/INSERM, Paris, France; Department for adult psychiatry, Pitié-Salpêtrière hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France. Electronic address: hugo.bottemanne@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Morlaàs</LastName><ForeName>O</ForeName><Initials>O</Initials><AffiliationInfo><Affiliation>Control-Interoception-Attention team, Institut du cerveau et de la moelle épinière (ICM), UMR 7225/UMR_S 1127, Sorbonne University/CNRS/INSERM, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schmidt</LastName><ForeName>L</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Control-Interoception-Attention team, Institut du cerveau et de la moelle épinière (ICM), UMR 7225/UMR_S 1127, Sorbonne University/CNRS/INSERM, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fossati</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Control-Interoception-Attention team, Institut du cerveau et de la moelle épinière (ICM), UMR 7225/UMR_S 1127, Sorbonne University/CNRS/INSERM, Paris, France; Department for adult psychiatry, Pitié-Salpêtrière hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>fre</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Coronavirus : cerveau prédictif et gestion de la terreur.</VernacularTitle><ArticleDate DateType="Electronic"><Year>2020</Year><Month>05</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>France</Country><MedlineTA>Encephale</MedlineTA><NlmUniqueID>7505643</NlmUniqueID><ISSNLinking>0013-7006</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000223" MajorTopicYN="N">Adaptation, Psychological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001294" MajorTopicYN="N">Attitude to Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001921" MajorTopicYN="N">Brain</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003469" MajorTopicYN="Y">Culture</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003717" MajorTopicYN="N">Denial, Psychological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005239" MajorTopicYN="N">Fear</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019983" MajorTopicYN="N">Guideline Adherence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017408" MajorTopicYN="N">Guidelines as Topic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015438" MajorTopicYN="Y">Health Behavior</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073599" MajorTopicYN="N">Health Risk Behaviors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006920" MajorTopicYN="N">Hygiene</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008960" MajorTopicYN="N">Models, Psychological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="Y">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011482" MajorTopicYN="N">Protective Devices</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012308" MajorTopicYN="N">Risk Management</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040242" MajorTopicYN="N">Risk Reduction Behavior</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016635" MajorTopicYN="N">Universal Precautions</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Bayesian brain</Keyword><Keyword MajorTopicYN="N">Belief</Keyword><Keyword MajorTopicYN="N">Biais cognitif</Keyword><Keyword MajorTopicYN="N">Cerveau bayésie</Keyword><Keyword MajorTopicYN="N">Codage prédictif</Keyword><Keyword MajorTopicYN="N">Cognitive biases</Keyword><Keyword MajorTopicYN="N">Coronavirus</Keyword><Keyword MajorTopicYN="N">Covid-19</Keyword><Keyword MajorTopicYN="N">Croyance</Keyword><Keyword MajorTopicYN="N">Perceived risk</Keyword><Keyword MajorTopicYN="N">Perception du risque</Keyword><Keyword MajorTopicYN="N">Predictive coding</Keyword><Keyword MajorTopicYN="N">Terror management theory</Keyword><Keyword MajorTopicYN="N">Théorie de la gestion de la terreur</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>05</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>6</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>7</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32517998</ArticleId><ArticleId IdType="pii">S0013-7006(20)30098-1</ArticleId><ArticleId IdType="doi">10.1016/j.encep.2020.05.012</ArticleId><ArticleId IdType="pmc">PMC7242918</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Île-de-France</li></region><settlement><li>Paris</li></settlement></list><tree><country name="France"><region name="Île-de-France"><name sortKey="Bottemanne, H" sort="Bottemanne, H" uniqKey="Bottemanne H" first="H" last="Bottemanne">H. Bottemanne</name></region><name sortKey="Fossati, P" sort="Fossati, P" uniqKey="Fossati P" first="P" last="Fossati">P. Fossati</name><name sortKey="Morlaas, O" sort="Morlaas, O" uniqKey="Morlaas O" first="O" last="Morlaàs">O. Morlaàs</name><name sortKey="Schmidt, L" sort="Schmidt, L" uniqKey="Schmidt L" first="L" last="Schmidt">L. Schmidt</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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