Evidence map›Paper›PMID 40275825›Full record

ArticleInfluenza and other respiratory viruses2025

The Role of Viral Interference in Shaping RSV Epidemics Following the 2009 H1N1 Influenza Pandemic.

Ke Li, Deus Thindwa, Daniel M Weinberger, Virginia E Pitzer

Abstract read
In one paragraph

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ke LiDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0002-1252-670X
Deus ThindwaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0003-4845-7862
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0003-1178-8086
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0003-1015-2289

Funding

Predicting and monitoring variations in the effects of vaccines against RSVR01AI137093 · NIAID · YALE UNIVERSITY · PI Virginia E Pitzer, Daniel Martin Weinberger · 2018 to 2026
$3.4M
NIAID NIH HHS R01 AI137093NIH HHS R01AI137093
6 · The paper itself

Abstract

backgroundDisruptions in respiratory syncytial virus (RSV) activity were observed in different countries following the 2009 influenza pandemic. Given the limited use of non-pharmaceutical interventions, these disruptions provide an opportunity to probe viral interference due to the out-of-season epidemics. The objectives of the study are twofold: to characterize atypical RSV activity in the United States (US) and to explore the mechanisms underlying changes in RSV epidemics following the pandemic.

methodsLaboratory-confirmed RSV cases across 10 US regions from June 2007 to July 2019 were analyzed. A dynamic time warping method was used to characterize RSV activity in different seasons. A two-pathogen model was constructed to explore viral interference mechanisms. A sampling-importance-resampling method was applied to estimate the effects of viral interference.

resultsWe found that RSV activity was reduced following the influenza pandemic in the 2009/10 season across all regions in the US. By contrast, we found an enhanced but delayed RSV epidemic across the US in the 2010/11 season. Using a mathematical model, we explored three potential viral interference mechanisms that could explain the change of RSV activity following the pandemic. The pandemic influenza may interfere with RSV to reduce susceptibility to RSV coinfection, or shorten the RSV infectious period, or decrease RSV infectivity in co-infections.

conclusionsThis study provides statistical evidence for atypical RSV seasons following the influenza pandemic in the US and sheds light on viral interference mechanisms affecting RSV epidemics, offering a model-fitting framework for analyzing surveillance data at the population level.

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza, HumanPandemicsRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsViral InterferenceHumansModels, TheoreticalSeasonsUnited Statesmathematical modelingPandemic H1N1 influenza virusRSVvirus interference

Identifiers

PMID40275825
PMCPMC12022500

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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.