Evidence map›Paper›PMID 42862470›Full record

ArticleInfection2026

Co-occurrence of viral respiratory pathogens: prevalence, seasonal distribution, and symptomatology in outpatients in Bavaria, Germany, from April 2025 - March 2026.

Aline I Schöllkopf, Jennifer Flechsler, Rebecca Gerstner, Johannes Lutmayr, Alexander Nikola, Julia Papst, Sandra Schmidt, Veronika Zacherl, Caroline Herr, Ute Eberle 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.

Aline I SchöllkopfDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany. Aline.Schoellkopf@lgl.bayern.de.ORCID https://orcid.org/0009-0005-3930-5666
Jennifer FlechslerDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Rebecca GerstnerDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Johannes LutmayrDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Alexander NikolaDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Julia PapstDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Sandra SchmidtDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Veronika ZacherlDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Caroline HerrDepartment of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Ute Eberle *Department of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Andreas Sing *Department of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany.
Nikolaus Ackermann *Department of Public Health Microbiology, Bavarian Health and Food Safety Authority (LGL), Veterinärstraße 2, 85764, Oberschleißheim, Germany. Nikolaus.Ackermann@lgl.bayern.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Bavarian Influenza Sentinel (BIS + C) monitors the circulation of respiratory viruses in outpatients in Bavaria, Germany. After the Covid-19 pandemic, the molecular surveillance program was expanded for improved insight into the rate of viral infections. Only limited information on viral co-infections is yet available, so this study provides an insight into their co-occurrence, seasonal distribution, and symptomatic outcome.

methodsFrom calendar week 15/2025 to 14/2026, general practitioners and pediatricians collected swab samples from outpatients with acute respiratory diseases, that were tested for twelve viral pathogens using qPCR multiplex systems.

resultsAt least one virus was found in 58.8% of the outpatients (n = 7,416/12,614) including 4.1% (n = 520) multiple viral detection, primarily in patients younger than 5 years and more frequent in males. The frequency of multiple virus detection ranges from 6.7% in influenza A (n = 118/1,761) to 43.3% in adenoviruses (n = 154/356) positive tested samples. The most common pathogens in multiple detections were entero-/rhinoviruses involved in 11.9% (n = 292/2,459). Differences in the reported symptoms between single- and co-infections have been found, including less muscle/joint pain in influenza A co-infections. The detected Ct values in co-infections compared to mono-infections were lower for SARS-CoV-2, adenoviruses, entero-/rhinoviruses, and coronaviruses.

conclusionThe frequency of multi-infections follows the seasonality of the corresponding viruses. Especially children under 5 years of age are affected by co-infections. Among the studied viruses, influenza A showed the lowest relative rate of co-detection, in line with its pronounced seasonality - a pattern that warrants further investigation.

Indexed as

Co-infectionMolecular epidemiologyMultiplex polymerase chain reactionRespiratory tract infectionsRespiratory virusesSentinel surveillance

Identifiers

PMID42862470

What OpenQuestion holds

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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.