Evidence map›Paper›PMID 34131234›Full record

ArticleScientific reports2021

The real seroprevalence of SARS-CoV-2 in France and its consequences for virus dynamics.

Chloé Dimeglio, Jean-Michel Loubes, Marcel Miedougé, Fabrice Herin, Jean-Marc Soulat, Jacques Izopet

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

6 authors.

Chloé Dimeglio2 INSERM UMR1291 - CNRS UMR5051, Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), 31300, Toulouse, France. dimeglio.c@chu-toulouse.fr.
Jean-Michel LoubesInstitut de Mathématiques de Toulouse, Université de Toulouse, 31400, Toulouse, France.
Marcel MiedougéVirology Laboratory, CHU Toulouse, Hôpital Purpan, 31300, Toulouse, France.
Fabrice HerinOccupational Diseases Department, Toulouse-Purpan University Hospital, 31000, Toulouse, France.
Jean-Marc SoulatOccupational Diseases Department, Toulouse-Purpan University Hospital, 31000, Toulouse, France.
Jacques Izopet2 INSERM UMR1291 - CNRS UMR5051, Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), 31300, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 virus has spread world-wide since December 2019, killing more than 2.9 million of people. We have adapted a statistical model from the SIR epidemiological models to predict the spread of SARS-CoV-2 in France. Our model is based on several parameters and assumed a 4.2% seroprevalence in Occitania after the first lockdown. The recent use of serological tests to measure the effective seroprevalence of SARS-CoV-2 in the population of Occitania has led to a seroprevalence around 2.4%. This implies to review the parameters of our model to conclude at a lower than expected virus transmission rate, which may be due to infectivity varying with the patient's symptoms or to a constraint due to an uneven population geographical distribution.

Indexed as

COVID-19 Serological TestingAdultCommunicable Disease ControlCOVID-19FemaleFranceHumansMaleMiddle AgedModels, StatisticalSeroepidemiologic Studies

Identifiers

PMID34131234
PMCPMC8206100

What OpenQuestion holds

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LicenceCC BY
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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.