Evidence map›Paper›PMID 41017287›Full record

ArticleInfluenza and other respiratory viruses2025

Absences, Symptoms and Respiratory Viruses in a Swiss School: Longitudinal Study With Serial Saliva Sampling.

Nicolas Banholzer, David Kronthaler, Pascal Bittel, Lavinia Furrer, James D Munday, Matthias Egger, Tina Hascher, Philipp Jent, Lukas Fenner

Abstract read
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Article in Influenza and other respiratory viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Nicolas BanholzerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
David KronthalerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Pascal BittelMultidisciplinary Center for Infectious Diseases (MCID), University of Bern, Bern, Switzerland.
Lavinia FurrerInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.
James D MundayDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Matthias EggerPopulation Health Sciences, University of Bristol, Bristol, UK.
Tina HascherMultidisciplinary Center for Infectious Diseases (MCID), University of Bern, Bern, Switzerland.
Philipp JentMultidisciplinary Center for Infectious Diseases (MCID), University of Bern, Bern, Switzerland.
Lukas FennerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0003-3309-4835

Funding

Multidisciplinary Center for Infectious Diseases (MCID)National Institute of Allergy and Infectious Diseases (NIAID) 5U01-AI069924-05Swiss National Science Foundation 32FP30-189498
6 · The paper itself

Abstract

backgroundViral respiratory infections contribute to sick days in school children. We monitored respiratory infections, absences, and symptoms in a Swiss school.

methodsSerial saliva sampling (three per week) and daily recording of absences and symptoms over 6 weeks during the winter of 2023/24 in four Swiss school classes (age 14-15).

resultsWe analyzed 1047 samples of 67/84 (80%) participants, identifying 87 infection episodes across eight viruses: 28 (32%) human rhinovirus, 18 (21%) influenza A/B, 11 (13%) respiratory syncytial virus, 14 (16%) human coronaviruses, 6 (7%) parainfluenza virus, and 5 (6%) influenza B; SARS-CoV-2 was not detected. Spatiotemporal trends revealed seasonal epidemic trends and evidence of transmission within classes. Viral loads (interquartile range 29.5-36.9 Ct) and duration of detection (modeled range 3.2-5.3 days) were similar for all viruses. School absences were more likely temporally associated with influenza B infections than with other respiratory viral infections (> 99% vs. 38%, p = 0.005), and the absences tended to be longer (average 4.2 vs. 2.2 days). Symptoms varied depending on the pathogen detected, with absences temporally associated with human rhinovirus and parainfluenza virus infections commonly involving runny nose and sore throat, while absences associated with influenza infections often involved fever.

conclusionsClass-specific distribution patterns suggest a major contribution of within-class to overall respiratory virus transmission. Respiratory viruses showed certain distinct profiles in relation to school absences and symptoms. This highlights the importance of infection control measures, including vaccination, and virus-specific monitoring to better understand transmission dynamics in schools.

Indexed as

AbsenteeismRespiratory Tract InfectionsSalivaVirus DiseasesVirusesAdolescentFemaleHumansLongitudinal StudiesMaleRhinovirusSchoolsSeasonsSwitzerlandViral Loadmolecular epidemiologyrespiratory virusesschool absencessymptomstransmission

Identifiers

PMID41017287
PMCPMC12477406

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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.