Evidence map›Paper›PMID 35613100›Full record

ArticlePloS one2022

Trends in social exposure to SARS-Cov-2 in France. Evidence from the national socio-epidemiological cohort-EPICOV.

Josiane Warszawski, Laurence Meyer, Jeanna-Eve Franck, Delphine Rahib, Nathalie Lydié, Anne Gosselin, Emilie Counil, Robin Kreling, Sophie Novelli, Remy Slama and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05336604 (Epidémiologie et Conditions de Vide liées au Covid-19 STUDY OF THE COVID-19), which is not on this map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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.

NCT05336604 completednot on this map

Epidémiologie et Conditions de Vide liées au Covid-19 STUDY OF THE COVID-19 (SARS-CoV-2) EPIDEMIC AND SOCIO-ECONOMIC LIVING

TypeobservationalSponsorInstitut National de la Santé Et de la Recherche Médicale, FranceRan2020 to 2023Enrolled134,391ConditionsGeneral Population
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

18 authors.

Josiane WarszawskiINSERM CESP U1018, Université Paris-Saclay, Le Kremlin-Bicêtre, France.ORCID 0000-0001-8590-7952
Laurence MeyerINSERM CESP U1018, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Jeanna-Eve FranckIris-Institut de Recherche Interdisciplinaire sur les enjeux sociaux, Inserm, Aubervilliers, France.
Delphine RahibSanté Publique France, Saint-Maurice, France.
Nathalie LydiéSanté Publique France, Saint-Maurice, France.
Anne GosselinFrench Institute for Demographic Studies (INED), Aubervilliers, France.
Emilie CounilFrench Institute for Demographic Studies (INED), Aubervilliers, France.
Robin KrelingINSERM CESP U1018, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Sophie NovelliINSERM CESP U1018, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Remy SlamaInstitut thématique de Santé Publique, INSERM, Paris, France.
Philippe RaynaudDREES-Direction de la Recherche, des Etudes, de l'évaluation et des statistiques, Paris, France.
Guillaume BageinDREES-Direction de la Recherche, des Etudes, de l'évaluation et des statistiques, Paris, France.
Vianney CostemalleDREES-Direction de la Recherche, des Etudes, de l'évaluation et des statistiques, Paris, France.
Patrick SillardInstitut National de la statistique et des études économiques, Montrouge, France.
Toscane FourieUnité des Virus Emergents, UVE, Aix Marseille Univ, INSERM 1207, IRD 190, Marseille, France.ORCID 0000-0001-7806-4205
Xavier de LamballerieUnité des Virus Emergents, UVE, Aix Marseille Univ, INSERM 1207, IRD 190, Marseille, France.
Nathalie BajosIris-Institut de Recherche Interdisciplinaire sur les enjeux sociaux, Inserm, Aubervilliers, France.
Epicov Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to study whether social patterns of exposure to SARS-CoV-2 infection changed in France throughout the year 2020, in light to the easing of social contact restrictions.

methodsA population-based cohort of individuals aged 15 years or over was randomly selected from the national tax register to collect socio-economic data, migration history, and living conditions in May and November 2020. Home self-sampling on dried blood was proposed to a 10% random subsample in May and to all in November. A positive anti-SARS-CoV-2 ELISA IgG result against the virus spike protein (ELISA-S) was the primary outcome. The design, including sampling and post-stratification weights, was taken into account in univariate and multivariate analyses.

resultsOf the 134,391 participants in May, 107,759 completed the second questionnaire in November, and respectively 12,114 and 63,524 were tested. The national ELISA-S seroprevalence was 4.5% [95%CI: 4.0%-5.1%] in May and 6.2% [5.9%-6.6%] in November. It increased markedly in 18-24-year-old population from 4.8% to 10.0%, and among second-generation immigrants from outside Europe from 5.9% to 14.4%. This group remained strongly associated with seropositivity in November, after controlling for any contextual or individual variables, with an adjusted OR of 2.1 [1.7-2.7], compared to the majority population. In both periods, seroprevalence remained higher in healthcare professions than in other occupations.

conclusionThe risk of Covid-19 infection increased among young people and second-generation migrants between the first and second epidemic waves, in a context of less strict social restrictions, which seems to have reinforced territorialized socialization among peers.

Indexed as

COVID-19SARS-CoV-2AdolescentAdultAntibodies, ViralFranceHumansImmunoglobulin GSeroepidemiologic StudiesYoung AdultAntibodies, ViralImmunoglobulin G

Identifiers

PMID35613100
PMCPMC9132278

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Registered trials

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.