Evidence map›Paper›PMID 40269721›Full record

ArticleBMC infectious diseases2025

Changes in social contact patterns in Germany during the SARS-CoV-2 pandemic - an analysis based on the COVIMOD study.

Huynh Thi Phuong, Antonia Bartz, Andrzej K Jarynowski, Berit Lange, Christopher I Jarvis, Nicole Rübsamen, Rafael T Mikolajczyk, Stefan Scholz, Tom Berger, Torben Heinsohn and 3 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

13 authors.

Huynh Thi PhuongInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Antonia BartzInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Andrzej K JarynowskiSystem Modelling Group, Institute of Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany.
Berit LangeDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany & German Centre for Infection Research, TI BBD, Brunswick, Germany.
Christopher I JarvisLondon School of Hygiene and Tropical Medicine, London, UK.
Nicole RübsamenInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Rafael T MikolajczykInstitute for Medical Epidemiology, Biometrics, and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle, Germany.
Stefan ScholzMedical Faculty of the Martin Luther University Halle-Wittenberg, Halle, Germany, until 01/2022 Immunization Unit, Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Tom BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Torben HeinsohnDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany & German Centre for Infection Research, TI BBD, Brunswick, Germany.
Vitaly BelikSystem Modelling Group, Institute of Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany.
André KarchInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Veronika K JaegerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany. veronika.jaeger@ukmuenster.de.

Funding

the Federal Ministry of Education and Research (BMBF) 031L0299J
6 · The paper itself

Abstract

backgroundDuring the SARS-CoV-2 pandemic, Germany employed several nonpharmaceutical interventions (NPIs) to reduce social contacts and decelerate the virus's spread. Associations between demographics and other factors, e.g. perceived pandemic threat level, might help explain variations in social contact behaviours. We aimed to estimate contact numbers during the pandemic in Germany and assess factors associated with changes therein.

methodsBetween 04/2020 and 12/2021, we conducted an online contact survey (COVIMOD) with 33 waves in Germany. We calculated the mean and 95% confidence interval of daily reported contacts ("people who you met in person and with whom you exchanged at least a few words, or with whom you had physical contact") using bootstrapping. The effects of different factors on the number of contacts were determined by fitting generalized additive models (GAMs).

resultsThe COVIMOD survey recorded 59,585 responses from 7,851 participants across Germany. The overall mean number of daily social contacts during the study period was 3.30 (95%CI: 3.23-3.38), with the number of non-household contacts being twice as high as the number of contacts with household members. The lowest overall number of contacts (2.11, 95%CI: 2.01-2.22) was reported during Germany's strongest contact reduction campaigns (end of 04/2020), when the number of household contacts was three times higher than non-household contacts. The highest number of contacts (6.38, 95%CI: 5.67-7.15) was observed during periods of relaxed measures (June 2020), when household contacts were four times fewer than non-household contacts. The work and school contacts shaped the overall variation of contact patterns in Germany during the pandemic. In participants under 18 years, partially/fully closing schools reduced school contacts by 83% (95%CI: 80-85%) and overall contacts by 39% (95%CI: 36-42%). Higher risk perceptions regarding COVID-19 were associated with 11% (95% CI: 2-17%) more social contacts among all participants and 66% (95%CI: 32-108%) more work contacts in the adult participants.

conclusionsOur study revealed fluctuations in the number of social contacts during the SARS-CoV-2 pandemic in Germany, with substantial variations influenced by NPIs and individual factors. Understanding these factors affecting social contacts is vital for refining disease transmission models and informing future pandemic response strategies.

Indexed as

Contact TracingCOVID-19Social BehaviorAdolescentAdultAgedChildFemaleGermanyHumansMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesYoung AdultContact behaviourHeterogeneityModellingPandemicSARS-CoV-2

Identifiers

PMID40269721
PMCPMC12020284

What OpenQuestion holds

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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.