Please use this identifier to cite or link to this item:http://hdl.handle.net/20.500.12105/14222
Defining the seasonality of respiratory syncytial virus around the world: National and subnational surveillance data from 12 countries
Staadegaard, Lisa | Caini, Saverio | Wangchuk, Sonam | Thapa, Binay | de Almeida, Walquiria Aparecida Ferreira | de Carvalho, Felipe Cotrim | Fasce, Rodrigo A | Bustos, Patricia | Kyncl, Jan | Novakova, Ludmila | Caicedo, Alfredo Bruno | de Mora Coloma, Domenica Joseth | Meijer, Adam | Hooiveld, Mariëtte | Huang, Q Sue | Wood, Tim | Guiomar, Raquel | Rodrigues, Ana Paula | Lee, Vernon Jian Ming | Ang, Li Wei | Cohen, Cheryl | Moyes, Jocelyn | Larrauri, Amparo ISCIII | Delgado-Sanz, Concepcion ISCIII | Demont, Clarisse | Bangert, Mathieu ISCIII | Dückers, Michel | van Summeren, Jojanneke | Paget, John
Influenza Other Respi Viruses. 2021 Nov;15(6):732-741
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.
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