Bibliographic Details
| Title: |
Understanding the local-level variations in seasonality of human respiratory syncytial virus infection: a systematic analysis. |
| Authors: |
Ye, Sheng1 (AUTHOR), Deng, Shuyu1 (AUTHOR), Miao, Yumeng1 (AUTHOR), Torres-Fernandez, David2,3 (AUTHOR), Bassat, Quique2,3,4,5,6,7 (AUTHOR), Wang, Xin8,9 (AUTHOR) xin.wang@njmu.edu.cn, Li, You1,9,10 (AUTHOR) you.li@njmu.edu.cn |
| Source: |
BMC Medicine. 1/29/2025, Vol. 23 Issue 1, p1-11. 11p. |
| Subject Terms: |
*RESPIRATORY syncytial virus infections, *INCOME, *RESPIRATORY syncytial virus, *SOCIODEMOGRAPHIC factors, *WIND speed |
| Abstract: |
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 during 1995 to 2020. Local-level variations in RSV season within a region were estimated to be 6 weeks (41 days, 95% CI: 25–57) for season onset, 5 weeks (32 days, 13–50) for season offset, and 6 weeks (40 days, 20–59) for season duration, with substantial differences across years. Multiple factors, such as temperature, relative humidity, wind speed, annual household income, population size, latitude, and longitude, could jointly explain 66% to 84% and 35% to 49% of the variations in season onset and offset, respectively, although their individual effects varied by individual regions. Conclusions: Local-level variations in RSV season onset could be as much as 6 weeks, which could be influenced by meteorological, geographical, and socio-demographic factors. The reported variations in this study could have important implications for local-level healthcare resources planning and immunisation strategy. Trial registration: PROSPERO CRD42023482432. [ABSTRACT FROM AUTHOR] |
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