Evidence map›Paper›PMID 42828621›Full record

ArticleInfection2026

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

Heiko Hampel, Manuela Harries, Carolina J Klett-Tammen, Patrick Marsall, Johanna Griesbaum, Madeleine Fandrich, Alex Dulovic, Jana Prokein, RESPINOW Study Consortium, André Karch and 2 more

Abstract read
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In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Heiko Hampel *Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.ORCID http://orcid.org/0009-0003-6447-845X
Manuela Harries *Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany. Manuela.Harries@helmholtz-hzi.de.ORCID https://orcid.org/0000-0001-5238-0103
Carolina J Klett-TammenDepartment for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.ORCID http://orcid.org/0000-0001-9685-5369
Patrick MarsallNMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0003-1302-6851
Johanna GriesbaumNMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0002-8000-2684
Madeleine FandrichNMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0009-0007-5750-7274
Alex DulovicNMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0003-0017-6738
Jana ProkeinHannover Unified Biobank (HUB), Hannover Medical School (MHH), Hannover, Germany.ORCID http://orcid.org/0000-0002-5493-2642
RESPINOW Study Consortium
André KarchInstitute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany.ORCID http://orcid.org/0000-0003-3014-8543
Veronika K Jaeger *Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany.ORCID http://orcid.org/0000-0002-6913-0976
Berit Lange *Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.ORCID http://orcid.org/0000-0002-9325-9307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza 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.

methodsIn 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.

resultsSerological 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).

conclusionsSerological 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.

Indexed as

Contact frequencyHousehold compositionInfluenzaPublic healthSeroepidemiology

Identifiers

PMID42828621

What Socratic holds

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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 Socratic graph.