Open AccessDefining the seasonality of respiratory syncytial virus around the world: National and subnational surveillance data from 12 countries
Author(s) -
Staadegaard Lisa,
Caini Saverio,
Wangchuk Sonam,
Thapa Binay,
Almeida Walquiria Aparecida Ferreira,
Carvalho Felipe Cotrim,
Fasce Rodrigo A.,
Bustos Patricia,
Kyncl Jan,
Novakova Ludmila,
Caicedo Alfredo Bruno,
Mora Coloma Domenica Joseth,
Meijer Adam,
Hooiveld Mariëtte,
Huang Q. Sue,
Wood Tim,
Guiomar Raquel,
Rodrigues Ana Paula,
Lee Ver Jian Ming,
Ang Li Wei,
Cohen Cheryl,
Moyes Jocelyn,
Larrauri Amparo,
DelgadoSanz Concepción,
Demont Clarisse,
Bangert Mathieu,
Dückers Michel,
Summeren Jojanneke,
Paget John
Publication year - 2021
Publication title -
influenza and other respiratory viruses
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.743
H-Index - 57
eISSN - 1750-2659
pISSN - 1750-2640
DOI - 10.1111/irv.12885
Subject(s) - seasonality , temperate climate , covid-19 , respiratory tract infections , demography , environmental health , geography , virology , respiratory system , medicine , biology , ecology , disease , infectious disease (medical specialty) , sociology
Background Respiratory syncytial virus (RSV) infections are one of the leading causes of lower respiratory tract infections and have a major burden on society. For prevention and control to be deployed effectively, an improved understanding of the seasonality of RSV is necessary. Objectives The main objective of this study was to contribute to a better understanding of RSV seasonality by examining the GERi multi‐country surveillance dataset. Methods RSV seasons were included in the analysis if they contained ≥100 cases. Seasonality was determined using the “average annual percentage” method. Analyses were performed at a subnational level for the United States and Brazil. Results We included 601 425 RSV cases from 12 countries. Most temperate countries experienced RSV epidemics in the winter, with a median duration of 10–21 weeks. Not all epidemics fit this pattern in a consistent manner, with some occurring later or in an irregular manner. More variation in timing was observed in (sub)tropical countries, and we found substantial differences in seasonality at a subnational level. No association was found between the timing of the epidemic and the dominant RSV subtype. Conclusions Our findings suggest that geographical location or climatic characteristics cannot be used as a definitive predictor for the timing of RSV epidemics and highlight the need for (sub)national data collection and analysis.