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Impact of Subgroup Distribution on Seasonality of Human Respiratory Syncytial Virus: A Global Systematic Analysis.
- Source :
-
The Journal of infectious diseases [J Infect Dis] 2024 Mar 01; Vol. 229 (Supplement_1), pp. S25-S33. - Publication Year :
- 2024
-
Abstract
- Background: Previous studies reported inconsistent findings regarding the association between respiratory syncytial virus (RSV) subgroup distribution and timing of RSV season. We aimed to further understand the association by conducting a global-level systematic analysis.<br />Methods: We compiled published data on RSV seasonality through a systematic literature review, and unpublished data shared by international collaborators. Using annual cumulative proportion (ACP) of RSV-positive cases, we defined RSV season onset and offset as ACP reaching 10% and 90%, respectively. Linear regression models accounting for meteorological factors were constructed to analyze the association of proportion of RSV-A with the corresponding RSV season onset and offset.<br />Results: We included 36 study sites from 20 countries, providing data for 179 study-years in 1995-2019. Globally, RSV subgroup distribution was not significantly associated with RSV season onset or offset globally, except for RSV season offset in the tropics in 1 model, possibly by chance. Models that included RSV subgroup distribution and meteorological factors explained only 2%-4% of the variations in timing of RSV season.<br />Conclusions: Year-on-year variations in RSV season onset and offset are not well explained by RSV subgroup distribution or meteorological factors. Factors including population susceptibility, mobility, and viral interference should be examined in future studies.<br />Competing Interests: Potential conflicts of interest. C. C. reports grants from Sanofi Pasteur, US Centers for Disease Control and Prevention, Welcome Trust, Programme for Applied Technologies in Health, Bill and Melinda Gates Foundation, and South African Medical Research Council. H. N. reports grants from World Health Organization, the National Institute for Health Research, Pfizer, and the Foundation for Influenza Epidemiology; and personal fees from the Bill and Melinda Gates Foundation, Pfizer, ReViral, GSK, Merck, Icosavax, Sanofi, Novavax, Abbvie, and the Foundation for Influenza Epidemiology, outside the submitted work. Y. L. reports grants from Wellcome Trust and GSK; and personal fees from Pfizer, outside the submitted work. All other authors declare no conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Subjects :
- Humans
Linear Models
Seasons
Viral Interference
Respiratory Syncytial Virus, Human
Subjects
Details
- Language :
- English
- ISSN :
- 1537-6613
- Volume :
- 229
- Issue :
- Supplement_1
- Database :
- MEDLINE
- Journal :
- The Journal of infectious diseases
- Publication Type :
- Academic Journal
- Accession number :
- 37249267
- Full Text :
- https://doi.org/10.1093/infdis/jiad192