Evidence map›Paper›PMID 37101123›Full record

ArticleBMC infectious diseases2023

Social contact patterns during the COVID-19 pandemic in 21 European countries - evidence from a two-year study.

Kerry L M Wong, Amy Gimma, Pietro Coletti, CoMix Europe Working Group, Christel Faes, Philippe Beutels, Niel Hens, Veronika K Jaeger, Andre Karch, Helen Johnson and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
13.9field-weighted citation impact, top 1% of its field
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

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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

12 authors at 5 institutions in 4 countries.

Kerry L M WongDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. kerry.wong@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-4400-2257
Amy GimmaDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Pietro ColettiData Science Institute, I-Biostat, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium.
CoMix Europe Working Group
Christel FaesData Science Institute, I-Biostat, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium.
Philippe BeutelsCentre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium.
Niel HensData Science Institute, I-Biostat, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium.
Veronika K JaegerInstitute of Epidemiology and Social Medicine, University of Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Andre KarchInstitute of Epidemiology and Social Medicine, University of Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Helen JohnsonEuropean Centre for Disease Prevention and Control (ECDC), Solna, Sweden.
WJohn EdmundsDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Christopher I JarvisDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
University of London · GBHasselt University · BEUniversity of Antwerp · BEEuropean Centre for Disease Prevention and Control · SEUNSW Sydney · AU

Funding

European Research Council TransMID 682540Medical Research Council MC_PC_19065
6 · The paper itself

Abstract

backgroundMost countries have enacted some restrictions to reduce social contacts to slow down disease transmission during the COVID-19 pandemic. For nearly two years, individuals likely also adopted new behaviours to avoid pathogen exposure based on personal circumstances. We aimed to understand the way in which different factors affect social contacts - a critical step to improving future pandemic responses.

methodsThe analysis was based on repeated cross-sectional contact survey data collected in a standardized international study from 21 European countries between March 2020 and March 2022. We calculated the mean daily contacts reported using a clustered bootstrap by country and by settings (at home, at work, or in other settings). Where data were available, contact rates during the study period were compared with rates recorded prior to the pandemic. We fitted censored individual-level generalized additive mixed models to examine the effects of various factors on the number of social contacts.

resultsThe survey recorded 463,336 observations from 96,456 participants. In all countries where comparison data were available, contact rates over the previous two years were substantially lower than those seen prior to the pandemic (approximately from over 10 to < 5), predominantly due to fewer contacts outside the home. Government restrictions imposed immediate effect on contacts, and these effects lingered after the restrictions were lifted. Across countries, the relationships between national policy, individual perceptions, or personal circumstances determining contacts varied.

conclusionsOur study, coordinated at the regional level, provides important insights into the understanding of the factors associated with social contacts to support future infectious disease outbreak responses.

Indexed as

COVID-19Cross-Sectional StudiesEuropeHumansPandemicsSARS-CoV-2Contact surveyCOVID-19 pandemicPhysical distancingSARS-CoV-2 transmissionSocial contactsSocial distance

Identifiers

PMID37101123
PMCPMC10132446
OpenAlexW4367050570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.