2026-08-29T14:20:53Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/142222025-04-04T09:15:20Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608

00925njm 22002777a 4500 dc Staadegaard, Lisa author Caini, Saverio author Wangchuk, Sonam author Thapa, Binay author Ferreira de Almeida, Walquiria Aparecida author Cotrim de Carvalho, Felipe author Fasce, Rodrigo A author Bustos, Patricia author Kyncl, Jan author Novakova, Ludmila author Caicedo, Alfredo Bruno author de Mora Coloma, Domenica Joseth author Meijer, Adam author Hooiveld, Mariëtte author Huang, Q Sue author Wood, Tim author Guiomar, Raquel author Rodrigues, Ana Paula author Lee, Vernon Jian Ming author Ang, Li Wei author Cohen, Cheryl author Moyes, Jocelyn author Larrauri, Amparo author Delgado-Sanz, Concepcion author Demont, Clarisse author Bangert, Mathieu author Dückers, Michel author van Summeren, Jojanneke author Paget, John author 2021-11 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. Influenza Other Respi Viruses. 2021 Nov;15(6):732-741 10.1111/irv.12885 1750-2659 Influenza and Other Respiratory Viruses 34255934 http://hdl.handle.net/20.500.12105/14222 Epidemiology Respiratory syncytial virus Seasonality Surveillance Defining the seasonality of respiratory syncytial virus around the world: National and subnational surveillance data from 12 countries