Understanding the local-level variations in seasonality of human respiratory syncytial virus infection: a systematic analysis

作者：Sheng Ye, Shuyu Deng, Yumeng Miao, David Torres-Fernández, Quique Bassat, Xin Wang, You Li · 发表于：BMC Medicine · 年份：2025 · DOI：10.1186/s12916-025-03888-4 · 被引用次数：13 · 研究领域：Respiratory viral infections research、Neonatal Respiratory Health Research、Cystic Fibrosis Research Advances

BACKGROUND: While previous reports characterised global and regional variations in RSV seasonality, less is known about local variations in RSV seasonal characteristics. This study aimed to understand the local-level variations in RSV seasonality and to explore the role of geographical, meteorological, and socio-demographic factors in explaining these variations. METHODS: We conducted a systematic literature review to identify published studies reporting data on local-level RSV season onset, offset, or duration for at least two local sites. In addition, we included three datasets of RSV activity from Japan, Spain, and Scotland with available site-specific data. RSV season onset, offset, and duration were defined using the annual cumulative proportion method. We estimated between-site variations within a region using the earliest onset, the earliest offset, and the shortest duration of RSV season of that region as the references and synthesised the variations across regions by a multi-level mixed-effects meta-analysis. Using the three datasets from Japan, Spain and Scotland, we applied linear regression models with clustered standard errors to explore the association of geographical, meteorological, and socio-demographic factors with the season onset and offset, respectively. RESULTS: We included 7 published studies identified from the systematic literature search. With the additional 3 datasets, these data sources covered 888,447 RSV-positive cases from 101 local study sites ...