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了解人类呼吸道合胞病毒感染季节性的地方层面差异:一项系统分析。

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

作者信息

Ye Sheng, Deng Shuyu, Miao Yumeng, Torres-Fernandez David, Bassat Quique, Wang Xin, Li You

机构信息

Department of Epidemiology, National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing, China.

ISGlobal, Barcelona, Spain.

出版信息

BMC Med. 2025 Jan 29;23(1):55. doi: 10.1186/s12916-025-03888-4.

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.

摘要

背景

虽然先前的报告描述了呼吸道合胞病毒(RSV)季节性的全球和区域差异,但对于RSV季节性特征的局部差异了解较少。本研究旨在了解RSV季节性的局部差异,并探讨地理、气象和社会人口因素在解释这些差异中的作用。

方法

我们进行了一项系统的文献综述,以确定已发表的研究,这些研究报告了至少两个本地地点的RSV季节开始、结束或持续时间的数据。此外,我们纳入了来自日本、西班牙和苏格兰的三个RSV活动数据集,这些数据集包含特定地点的数据。RSV季节开始、结束和持续时间采用年度累积比例法定义。我们以该地区RSV季节最早开始、最早结束和最短持续时间为参考,估计区域内不同地点之间的差异,并通过多层次混合效应荟萃分析综合各区域的差异。利用来自日本、西班牙和苏格兰的三个数据集,我们应用带有聚类标准误的线性回归模型,分别探讨地理、气象和社会人口因素与季节开始和结束之间的关联。

结果

我们纳入了从系统文献检索中确定的7项已发表研究。加上另外3个数据集,这些数据源涵盖了1995年至2020年期间来自101个本地研究地点的888,447例RSV阳性病例。据估计,区域内RSV季节的局部差异为:季节开始时间为6周(41天,95%置信区间:25 - 57),季节结束时间为5周(32天,13 - 50),季节持续时间为6周(40天,20 - 59),且各年份差异显著。多个因素,如温度、相对湿度、风速、家庭年收入、人口规模、纬度和经度,分别可共同解释季节开始和结束差异的66%至84%和35%至49%,尽管它们的个体效应因不同区域而异。

结论

RSV季节开始的局部差异可能高达6周,这可能受到气象、地理和社会人口因素的影响。本研究报告的这些差异可能对地方层面的医疗资源规划和免疫策略具有重要意义。

试验注册

PROSPERO CRD42023482432

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/818b/11781002/4e90c2c1b8e5/12916_2025_3888_Fig1_HTML.jpg

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