Evidence map›Paper›PMID 41981545›Full record

ArticleBMC public health2026

Estimating the effect of self-protection on transmission dynamics of SARS-CoV-2 in Germany in 2021: a modelling study.

Marvin Schulte, Neele Leithäuser, Jan Mohring

Abstract read
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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Marvin SchulteFraunhofer Institute for Industrial Mathematics, Fraunhofer-Platz 1, Kaiserslautern, 67663, Germany. marvin.schulte@itwm.fraunhofer.de.
Neele LeithäuserFraunhofer Institute for Industrial Mathematics, Fraunhofer-Platz 1, Kaiserslautern, 67663, Germany.
Jan MohringFraunhofer Institute for Industrial Mathematics, Fraunhofer-Platz 1, Kaiserslautern, 67663, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, German states implemented non-pharmaceutical interventions, while individuals also adopted self-initiated protective behavior. Most epidemiological studies tend to focus on one of these aspects, but in reality, both factors influence transmission dynamics simultaneously. In this study, we investigate the effect of self-protection and NPIs on the transmission dynamics of SARS-CoV-2 in Germany during 2021 and identify the corresponding model parameters based on publicly available data.

methodsWe present a unified mathematical model that integrates both self-initiated protective behavior and mandated policies. By using infection and intensive care unit data from four German states, we identify all behavioral and some viral parameters, while some are set according to literature values. Since the data alone do not reveal the cause of reduction, we use the different functional structures of self-protection and non-pharmaceutical interventions to determine their respective influence. Based on these parameters, we conduct counterfactual simulations, modeling the absence of one of the mechanisms, respectively, while assuming that the other mechanism is left unchanged.

resultsOur findings indicate that both mechanisms substantially reduced transmission. Self-protection reduced the transmission less than mandated policies most of the time, but provided between 67.6 (± 6.9) % and 81.9 (± 2.1) % further reduction of the transmission rate at highest reported values of intensive care unit occupancy. Through counterfactual simulations, we demonstrate that the absence of policies or self-protection would have resulted in higher case numbers or the need for stronger adaptations.

conclusionThe results emphasize the crucial role of self-protection in addition to mandated policies in controlling the spread of the virus. Our research highlights the importance of incorporating self-protective behavior and mandated policies jointly in epidemiological models, which are used for policy evaluation.

Indexed as

COVID-19GermanyHumansIntensive Care UnitsModels, TheoreticalPandemicsSARS-CoV-2Adaptive behaviorBehavioral-epidemiological modelCompartmental modelCOVID-19EpidemiologyInfectious disease dynamicsParameter estimation

Identifiers

PMID41981545
PMCPMC13085613

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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.