Evidence map›Paper›PMID 38514722›Full record

ArticleScientific reports2024

Spread of awareness of COVID-19 between December 2019 and March 2020 in France.

Horace Blanc, Eliane Rothier Bautzer, Natacha Vellut, Viet-Thi Tran

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Horace BlancInserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, 75004, Paris, France.
Eliane Rothier BautzerCNRS, INSERM, Centre for Research on Medicine, Science, Health, Mental Health, and Society (Cermes3), Université Paris Cité, 75004, Paris, France.
Natacha VellutCNRS, INSERM, Centre for Research on Medicine, Science, Health, Mental Health, and Society (Cermes3), Université Paris Cité, 75004, Paris, France.
Viet-Thi TranInserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, 75004, Paris, France. thi.tran-viet@aphp.fr.

Funding

Université Paris Cité IDEX UP 2021-I-012
6 · The paper itself

Abstract

During the early phase of outbreaks, awareness of the presence of the disease plays an important role in transmission dynamics. To investigate the processes of how people become aware of a disease, we conducted two complementary investigations. First, we surveyed 868 academic researchers in France, on the time and circumstances when they became aware of COVID-19 as an important event. We found that 25% did so before February 18th (first death in France), 50% did so before March 10th (first presidential allocution) and 75% did so before March 16th (announcement of the lockdown). Awareness came from nine categories of circumstances: (1) decisions taken by the government (elicited by 35.7% participants); (2) information from media or social media (24.7%); (3) conversation with friends (22.4%); (4) observed changes in their personal lives (14.0%); (5) decisions taken by the employer (9.2%); (6) observed changes at work (9.9%); (7) suspected case of COVID-19 in their entourage (3.1%); (8) fear for oneself or their entourage (2.8%) and (9) self-appraisal of scientific reports (2.8%). Second, we appraised three general media in France (a television news show, a radio news show, and a newspaper) and showed that COVID-19 became a preeminent topic only after March 1st 2020 when the epidemic is present on national soil. Our results show that multiple intricated factors prompt the awareness of an emerging infectious disease. Awareness is not solely driven by general media as they begin to focus on the topic late.

Indexed as

COVID-19EpidemicsCommunicable Disease ControlFranceHumansSARS-CoV-2AwarenessCOVID-19Sociology

Identifiers

PMID38514722
PMCPMC10958011

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Registered trials

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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.