Contact behavior and serological evidence of influenza reinfection across three post-COVID-19 pandemic seasons in a nationwide German cohort

Abstract Background Influenza remains a global public health burden. While interpersonal contacts drive transmission, their association with individual-level reinfection risk is not well quantified, particularly in the post-COVID-19 period. We assessed the relationship between contact frequency and serological evidence of influenza reinfection across three consecutive seasons. Methods In this multicentre, population-based panel study conducted between 2020 and 2024, binding antibody titers against hemagglutinin antigens of three influenza subtypes (A(H1N1), A(H3N2), and B) were measured by a bead-based multiplex immunoassay. Serological evidence of influenza reinfection was defined by fold-changes relative to the preceding season; with adjustments to minimize misclassification due to influenza vaccination. Logistic regression models were designed to estimate crude odds ratios (ORs) and DAG-informed adjusted odds ratios (aORs) for reinfection associated with total, household, and non-household contacts. Results Serological reinfection was detected in 14% (2021/22), 17% (2022/23), and 12% (2023/24) of participants. Among self-reported unvaccinated participants, reinfection was detected in 6%, 13% and 17% across the respective seasons. Non-household contacts were associated with increased odds of reinfection in one season (2022/23: aOR 1.008, 95% CI 1.002–1.014), while household contacts were associated with higher odds of reinfection in two seasons (2022/23: aOR 1.285, 95% CI 0.905–1.823; 2023/24: aOR 1.267, 95% CI 0.685–2.343). Conclusions Serological evidence of reinfection among unvaccinated participants in comparison with all participants aligned more closely with surveillance data in 2021/22. Residual misclassification of vaccination or preceding infections may partly explain the absence of an association in 2021/22. Associations between contact behavior and reinfection were season-specific, with household contacts showing the strongest and most consistent effects.

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Publication Details

Journal
Infection
Published
2026-10-03
DOI
https://doi.org/10.1007/s15010-026-02947-z
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
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article

Contact behavior and serological evidence of influenza reinfection across three post-COVID-19 pandemic seasons in a nationwide German cohort

Olga Hovardovska, Melanie Schienle, Philipp Dönges, Berit Lange et al.
Infection
Influenza Virus Research Studies
article

Contact behavior and serological evidence of influenza reinfection across three post-COVID-19 pandemic seasons in a nationwide German cohort

Olga Hovardovska, Melanie Schienle, Philipp Dönges, Berit Lange, Isti Rodiah, Cornelia Gottschick, Daniel Junker, Carolina Judith Klett-Tammen, Nicole Schneiderhan‐Marra, Daniel Wolffram, Patrick Marsall, Nils Bardeck, Sebastián Contreras, Torben Heinsohn, Manuela Harries, Jana Prokein, Johanna Marie Griesbaum, Alex Dulovic, Viola Priesemann, Johannes Bracher, André Karch, Veronika K. Jaeger, Ulrich Reinacher, Felix Guenther, Madeleine Fandrich, Rafael Mikolajczyk, Carolina Klett-Tammen, Wolfgang Bock, Claudia Denkinger, Laura-Inés Boehler, Tyll Krüger, Rolf Kaiser, Heiko Hampel, Alex Kuhlmann, Michael Böhm, Lisa Koeppe
article en

Abstract

Abstract Background Influenza remains a global public health burden. While interpersonal contacts drive transmission, their association with individual-level reinfection risk is not well quantified, particularly in the post-COVID-19 period. We assessed the relationship between contact frequency and serological evidence of influenza reinfection across three consecutive seasons. Methods In this multicentre, population-based panel study conducted between 2020 and 2024, binding antibody titers against hemagglutinin antigens of three influenza subtypes (A(H1N1), A(H3N2), and B) were measured by a bead-based multiplex immunoassay. Serological evidence of influenza reinfection was defined by fold-changes relative to the preceding season; with adjustments to minimize misclassification due to influenza vaccination. Logistic regression models were designed to estimate crude odds ratios (ORs) and DAG-informed adjusted odds ratios (aORs) for reinfection associated with total, household, and non-household contacts. Results Serological reinfection was detected in 14% (2021/22), 17% (2022/23), and 12% (2023/24) of participants. Among self-reported unvaccinated participants, reinfection was detected in 6%, 13% and 17% across the respective seasons. Non-household contacts were associated with increased odds of reinfection in one season (2022/23: aOR 1.008, 95% CI 1.002–1.014), while household contacts were associated with higher odds of reinfection in two seasons (2022/23: aOR 1.285, 95% CI 0.905–1.823; 2023/24: aOR 1.267, 95% CI 0.685–2.343). Conclusions Serological evidence of reinfection among unvaccinated participants in comparison with all participants aligned more closely with surveillance data in 2021/22. Residual misclassification of vaccination or preceding infections may partly explain the absence of an association in 2021/22. Associations between contact behavior and reinfection were season-specific, with household contacts showing the strongest and most consistent effects.

Infection
University of Münster (DE), Medizinische Hochschule Hannover (DE), Natural and Medical Sciences Institute (DE), Helmholtz Centre for Infection Research (DE), University of Tübingen (DE)
Openalex Percentile: Top 11%
Influenza Virus Research Studies
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