Evidence map›Paper›PMID 39953405›Full record

ArticleBMC infectious diseases2025

Evolution of social contacts patterns in France over the SARS-CoV-2 pandemic: results from the SocialCov survey.

Flora Soussand, Armiya Youssouf Abdou, Marie Sanchez, Bich-Tram Huynh, Coralie Giese, Cécile Tran-Kiem, Guillaume Béraud, Didier Guillemot, Simon Cauchemez, Lulla Opatowski and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Flora SoussandMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, U1332 INSERM, UMR2000 CNRS, Paris, France.
Armiya Youssouf AbdouEpidemiology and Modelling of Bacterial Escape to Antimicrobials, Institut Pasteur, Paris, France.
Marie SanchezData Management Core Facility, Institut Pasteur, Paris, France.
Bich-Tram HuynhEpidemiology and Modelling of Bacterial Escape to Antimicrobials, Institut Pasteur, Paris, France.
Coralie GieseDGS, French Ministry for Health, Paris, France.
Cécile Tran-KiemMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, U1332 INSERM, UMR2000 CNRS, Paris, France.
Guillaume BéraudInfectious Diseases Department, University Hospital of Orléans, LI²RSO, University of Orléans, Orléans, France.
Didier GuillemotEpidemiology and Modelling of Bacterial Escape to Antimicrobials, Institut Pasteur, Paris, France.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, U1332 INSERM, UMR2000 CNRS, Paris, France.
Lulla Opatowski *Epidemiology and Modelling of Bacterial Escape to Antimicrobials, Institut Pasteur, Paris, France. lulla.opatowski@pasteur.fr.
Paolo Bosetti *Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, U1332 INSERM, UMR2000 CNRS, Paris, France. paolo.bosetti@pasteur.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-pharmaceutical measures such as lockdowns, curfews and place closures were implemented in France during 2020-2022 to reduce contacts in the population, to limit the spread of SARS-CoV-2 and reduce COVID-19 healthcare burden. Individuals also changed their behaviours as a response to the pandemic. Here, we present the results of the SocialCov survey that characterise the evolution of contacts in France between December 2020 and May 2022 to better understand the short and long term impact of these interventions on social mixing.

methodsA questionnaire was advertised over six independent communication campaigns through the governmental application TousAntiCovid between December 2020 and June 2022. Participants were asked to detail social contacts in the previous day, including contact age, location, duration and type (physical/conversational).

resultsOver the six distinct campaigns, 44,396 individuals participated in the survey, declaring 300,735 contacts in total. The patterns of contacts strongly evolved over time, along with the progressive easing of national mitigation measures. The number of contacts in the French population increased from 5.3 contacts per day on average in December 2020 to 9.7 in May 2022. Mixing patterns were affected by age of participants, holidays and weekends. Healthcare workers declared 18.4 contacts on average during working days, roughly twice more than other workers. Reported risk perception changed throughout the two year period.

conclusionsResults provide a detailed picture of contact evolution over the years 2020-2022 in France. In addition to a major evolution of contact density over time, this study highlights strong heterogeneities in contact patterns according to age, employment and weekend/vacation periods. The contact matrices provided here can be used to inform age-stratified transmission models of respiratory pathogens in the context of implementation of multiple non-pharmaceutical measures.

Indexed as

Contact TracingCOVID-19AdolescentAdultAgedChildFemaleFranceHumansInfantMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesYoung AdultAge-structured contact matricesInfectious disease dynamicsNon-pharmaceutical interventionsSARS-CoV-2Social contacts

Identifiers

PMID39953405
PMCPMC11829358

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LicenceCC BY
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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.