Evidence map›Paper›PMID 40235291›Full record

ArticleInfluenza and other respiratory viruses2025

Using Multiple Methods to Estimate Respiratory Syncytial Virus (RSV)-associated Hospitalization Rates in Children Aged < 5 Years-Hamilton County, Ohio, 2009-2017.

Elizabeth J Harker, Ryan Wiegand, Erica Billig Rose, Marilyn Rice, Christina Quigley, Chelsea Rohlfs, Susan I Gerber, Gayle E Langley, Heidi L Moline, Mary Allen Staat and 1 more

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. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Elizabeth J HarkerNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-2010-4379
Ryan WiegandNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Erica Billig RoseNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0001-7056-511X
Marilyn RiceDivision of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Christina QuigleyDivision of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Chelsea RohlfsDivision of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Susan I GerberNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Gayle E LangleyNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Heidi L MolineNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mary Allen StaatDivision of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Meredith L McMorrowNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0001-6363-4033

Funding

CDC HHS U01IP000458GlaxoSmithKlineNCIRD CDC HHS U01 IP000458
6 · The paper itself

Abstract

backgroundRespiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infection in children less than 5 years of age worldwide. In the United States, RSV commonly causes hospitalization in young children and is the leading cause of hospitalizations in infants. As new RSV immunizations become available, burden estimates are critical to guide the implementation of recommendations and quantify impact.

methodsWe estimated RSV-associated hospitalization rates at a large US pediatric medical center during an 8-year period using five approaches, namely, estimation directly from active and passive surveillance systems, both a crude and stratified capture-recapture analysis of data from both systems, and estimation based on discharge diagnosis codes. The stratified analysis was performed to ensure adherence with the capture-recapture methodology assumption that samples are independent and participants have an equal probability of being observed within each system.

resultsOverall, estimated RSV-associated hospitalization rates per 1000 children were 4.0 (2.5, 6.1) based on adjusted estimates from active surveillance, 1.7 (2.1, 4.4) from passive surveillance, 7.9 (5.7, 13.0) from crude capture-recapture analysis, 5.0 (3.8, 7.2) from the stratified capture-recapture, and 4.4 (4.0, 4.9) from discharge diagnosis codes.

conclusionsEach method has limitations and inherent biases that may impact the estimation of the burden of RSV. Capture-recapture analysis may be a useful tool to estimate the burden of RSV, but needs to be adjusted to account for possible violation of the assumptions of independence and equal probability of capture to ensure accurate approximation of disease burden and avoid over estimation.

Indexed as

HospitalizationRespiratory Syncytial Virus InfectionsChild, PreschoolFemaleHumansInfantInfant, NewbornMaleOhioRespiratory Syncytial Virus, Humanburden estimatescapture–recapture analysisrespiratory syncytial virus

Identifiers

PMID40235291
PMCPMC12000681

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