Impact of subgroup distribution on seasonality of human respiratory syncytial virus: A global systematic analysis
Author:
Deng Shuyu1ORCID, Guo Ling1, Cohen Cheryl23, Meijer Adam4, Moyes Jocelyn2, Pasittungkul Siripat5, Poovorawan Yong5, Teirlinck Anne4, Boven Michiel van4, Wanlapakorn Nasamon5, Wolter Nicole23, Paget John6, Nair Harish73ORCID, Li You17ORCID, Deng Shuyu, Guo Ling, Li You, Cohen Cheryl, Moyes Jocelyn, Wolter Nicole, von Gottberg Anne, Meijer Adam, Teirlinck Anne, Boven Michiel van, Pasittungkul Siripat, Poovorawan Yong, Wanlapakorn Nasamon, Paget John, Nair Harish, Aerssens Jeroen, Ispas Gabriela, Ahani Bahar, Atwell Jessica, Begier Elizabeth, Htar Tin Tin, Bangert Mathieu, Kramer Rolf, Vernhes Charlotte, Beutels Philippe, Bont Louis, Campbell Harry, Nair Harish, Li You, Osei-Yeboah Richard, Wang Xin, Cohen Rachel, Dos Santos Gael, Last Theo, Kumar Veena, Machin Nuria, Nohynek Hanna, Openshaw Peter, Paget John, Pollard Andrew, Teirlinck Anne,
Affiliation:
1. School of Public Health, Nanjing Medical University , Nanjing , China 2. Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases , Johannesburg , South Africa 3. Faculty of Health Sciences, University of the Witwatersrand , Johannesburg , South Africa 4. National Institute for Public Health and the Environment (RIVM) - Centre for Infectious Disease Control , Bilthoven , the Netherlands 5. Centre of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University , Bangkok , Thailand 6. Netherlands Institute for Health Services Research (Nivel) , Utrecht , the Netherlands 7. Centre for Global Health, Usher Institute, University of Edinburgh , Edinburgh , United Kingdom
Abstract
Abstract
Introduction
Previous studies reported inconsistent findings regarding the association between respiratory syncytial virus (RSV) subgroup distribution and timing of RSV seasonal epidemics, possibly due to not accounting for confounders such as meteorological factors. We aimed to improve the understanding of the association through a global-level systematic analysis that accounted for these potential confounders.
Methods
We compiled published data on RSV seasonality through a systematic literature review, and supplemented with unpublished data shared by international collaborators. RSV seasonal characteristics were defined for each study-year based on the annual cumulative proportion (ACP) of RSV-positive cases, with ACP of 10% and 90% being defined as season onset and offset, respectively. Linear regression models with study-level clustered standard errors were conducted to analyse the association of proportion of RSV-A with the corresponding RSV season onset and offset separately, while accounting for meteorological factors.
Results
We included a total of 36 studies from 36 sites in 20 countries, which cumulatively provided data for 179 study-years in 1995–2019. Overall, year-on-year variations in RSV season onset, offset, and duration were generally comparable among tropical, sub-tropical, and temperate regions. Regression analysis by latitude groups showed that RSV subgroup distribution was not significantly associated with RSV season onset or offset globally; the only exception was for RSV season offset in the tropics in one model, possibly by chance. Models that included both RSV subgroup distribution and meteorological factors only jointly explained 2–4% of the variations in RSV season onset and offset.
Conclusion
Globally, RSV subgroup distribution had negligible impact on the RSV seasonal characteristics. RSV subgroup distribution and meteorological factors jointly could only explain limited year-on-year variations in RSV season onset and offset. The role of population susceptibility, mobility, and viral interference should be examined in future studies.
Publisher
Oxford University Press (OUP)
Subject
Infectious Diseases,Immunology and Allergy
Cited by
1 articles.
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