Evidence map›Paper›PMID 32517998›Full record

ArticleL'Encephale2020

[Coronavirus: Predictive brain and terror management].

H Bottemanne, O Morlaàs, L Schmidt, P Fossati

Abstract read
In one paragraph

Article in L'Encephale, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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.

H BottemanneControl-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.
O MorlaàsControl-Interoception-Attention team, Institut du cerveau et de la moelle épinière (ICM), UMR 7225/UMR_S 1127, Sorbonne University/CNRS/INSERM, Paris, France.
L SchmidtControl-Interoception-Attention team, Institut du cerveau et de la moelle épinière (ICM), UMR 7225/UMR_S 1127, Sorbonne University/CNRS/INSERM, Paris, France.
P FossatiControl-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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BetacoronavirusCultureHealth BehaviorPandemicsAdaptation, PsychologicalAttitude to HealthBrainCommunicable Disease ControlCoronavirus InfectionsCOVID-19Denial, PsychologicalFearGuideline AdherenceGuidelines as TopicHealth Risk BehaviorsHumansBayesian brainBeliefBiais cognitifCerveau bayésieCodage prédictifCognitive biasesCoronavirusCovid-19CroyancePerceived riskPerception du risquePredictive codingTerror management theoryThéorie de la gestion de la terreur

Identifiers

PMID32517998
PMCPMC7242918

What OpenQuestion holds

Textmetadata
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.