Evidence map›Paper›PMID 34154549›Full record

ArticleBMC public health2021

Rhinovirus prevalence as indicator for efficacy of measures against SARS-CoV-2.

Simo Kitanovski, Gibran Horemheb-Rubio, Ortwin Adams, Barbara Gärtner, Thomas Lengauer, Daniel Hoffmann, Rolf Kaiser, Respiratory Virus Network

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Subacute Thyroiditis-Is it Really Linked to Viral Infection?The Journal of clinical endocrinology and metabolism · 2025
    Article
  3. Respiratory virus circulation during pandemic: Why were some viruses still circulating?Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Impact of rhinovirus on hospitalization during the COVID-19 pandemic: A prospective cohort study.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
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

8 authors.

Simo Kitanovski *Bioinformatics and Computational Biophysics, Faculty of Biology and Centre for Medical Biotechnology (ZMB), University of Duisburg-Essen, Essen, 45141, Germany.
Gibran Horemheb-Rubio *Institute of Virology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, 50935, Germany.
Ortwin AdamsInstitute of Virology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, 40225, Germany.
Barbara GärtnerInstitute of Medical Microbiology and Hygiene, Saarland University Medical Center, Homburg, 66421, Germany.
Thomas LengauerComputational Biology, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, 66123, Germany.
Daniel HoffmannBioinformatics and Computational Biophysics, Faculty of Biology and Centre for Medical Biotechnology (ZMB), University of Duisburg-Essen, Essen, 45141, Germany. daniel.hoffmann@uni-due.de.
Rolf KaiserInstitute of Virology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, 50935, Germany.
Respiratory Virus Network

Funding

German Federal Ministry of Education and Research Project SECOVIT, Grant 01Kl20185B
6 · The paper itself

Abstract

backgroundNon-pharmaceutical measures to control the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) should be carefully tuned as they can impose a heavy social and economic burden. To quantify and possibly tune the efficacy of these anti-SARS-CoV-2 measures, we have devised indicators based on the abundant historic and current prevalence data from other respiratory viruses.

methodsWe obtained incidence data of 17 respiratory viruses from hospitalized patients and outpatients collected by 37 clinics and laboratories between 2010-2020 in Germany. With a probabilistic model for Bayes inference we quantified prevalence changes of the different viruses between months in the pre-pandemic period 2010-2019 and the corresponding months in 2020, the year of the pandemic with noninvasive measures of various degrees of stringency.

resultsWe discovered remarkable reductions δ in rhinovirus (RV) prevalence by about 25% (95% highest density interval (HDI) [-0.35,-0.15]) in the months after the measures against SARS-CoV-2 were introduced in Germany. In the months after the measures began to ease, RV prevalence increased to low pre-pandemic levels, e.g. in August 2020 δ=-0.14 (95% HDI [-0.28,0.12]).

conclusionsRV prevalence is negatively correlated with the stringency of anti-SARS-CoV-2 measures with only a short time delay. This result suggests that RV prevalence could possibly be an indicator for the efficiency for these measures. As RV is ubiquitous at higher prevalence than SARS-CoV-2 or other emerging respiratory viruses, it could reflect the efficacy of noninvasive measures better than such emerging viruses themselves with their unevenly spreading clusters.

Indexed as

COVID-19RhinovirusBayes TheoremGermanyHumansPrevalenceSARS-CoV-2BayesianCOVID-19GermanyModelingRhinovirusSARS-CoV-2

Identifiers

PMID34154549
PMCPMC8215636

What OpenQuestion holds

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LicenceCC BY
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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.