Evidence map›Paper›PMID 35690802›Full record

ArticleBMC public health2022

Respiratory viruses dynamics and interactions: ten years of surveillance in central Europe.

Gibran Horemheb-Rubio, Ralf Eggeling, Norbert Schmeiβer, Nico Pfeifer, Thomas Lengauer, Barbara C Gärtner, Christiane Prifert, Matthias Kochanek, Christoph Scheid, Ortwin Adams and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

21 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Population-level respiratory virus-virus interactions, Puerto Rico, 2013-2023.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
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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 at 9 institutions in 2 countries.

Gibran Horemheb-Rubio *Institute of Virology, Faculty of Medicine and University Hospital Cologne, Köln, Germany.
Ralf Eggeling *Methods in Medical Informatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.
Norbert SchmeiβerMedeora GmbH, Cologne, Germany.
Nico PfeiferMethods in Medical Informatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.
Thomas LengauerInstitute of Virology, Faculty of Medicine and University Hospital Cologne, Köln, Germany.
Barbara C GärtnerInstitute of Medicine Microbiology and Hygiene, University of the Saarland Kirrberger Homburg/Saar, Homburg, Germany.
Christiane PrifertFaculty of Medicine, Institute for Virology and Immunobiology, Würzburg University, Würzburg, Germany.
Matthias KochanekUniversity of Cologne, Department I of Internal Medicine, Center for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Cologne, Germany.
Christoph ScheidUniversity of Cologne, Department I of Internal Medicine, Center for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Cologne, Germany.
Ortwin AdamsUniversity of Düsseldorf, Medical Faculty, Institute for Virology, Düsseldorf, Germany.
Rolf Kaiser *Institute of Virology, Faculty of Medicine and University Hospital Cologne, Köln, Germany. rolf.kaiser@uk-koeln.de.
Respiratory Virus Network
Max Planck Institute for Informatics · DEHeinrich Heine University Düsseldorf · DESaarland University · DEUniversity of Würzburg · DETH Köln - University of Applied Sciences · DEUniversity of Cologne · DEGerman Center for Infection Research · DEInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower respiratory tract infections are among the main causes of death. Although there are many respiratory viruses, diagnostic efforts are focused mainly on influenza. The Respiratory Viruses Network (RespVir) collects infection data, primarily from German university hospitals, for a high diversity of infections by respiratory pathogens. In this study, we computationally analysed a subset of the RespVir database, covering 217,150 samples tested for 17 different viral pathogens in the time span from 2010 to 2019.

methodsWe calculated the prevalence of 17 respiratory viruses, analysed their seasonality patterns using information-theoretic measures and agglomerative clustering, and analysed their propensity for dual infection using a new metric dubbed average coinfection exclusion score (ACES).

resultsAfter initial data pre-processing, we retained 206,814 samples, corresponding to 1,408,657 performed tests. We found that Influenza viruses were reported for almost the half of all infections and that they exhibited the highest degree of seasonality. Coinfections of viruses are frequent; the most prevalent coinfection was rhinovirus/bocavirus and most of the virus pairs had a positive ACES indicating a tendency to exclude each other regarding infection.

conclusionsThe analysis of respiratory viruses dynamics in monoinfection and coinfection contributes to the prevention, diagnostic, treatment, and development of new therapeutics. Data obtained from multiplex testing is fundamental for this analysis and should be prioritized over single pathogen testing.

Indexed as

CoinfectionRespiratory Tract InfectionsVirus DiseasesVirusesHumansInfantRhinovirusCoinfectionRespiratory virusesSeasonalitySurveillanceViral exclusion

Identifiers

PMID35690802
PMCPMC9187845
OpenAlexW4282946400

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.