Epidemiological trends and climatic drivers of pediatric respiratory infections in Wuhan, China: a multi-pathogen analysis.

IF 4.8 2区 医学 Q2 IMMUNOLOGY
Frontiers in Cellular and Infection Microbiology Pub Date : 2025-09-04 eCollection Date: 2025-01-01 DOI:10.3389/fcimb.2025.1624638
Changzhen Li, Lei Xi, Jingjing Rao, Feng Tang, Yun Xiang, Xiaomei Wang
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引用次数: 0

Abstract

Objectives: To characterize the epidemiology of pediatric respiratory infections and evaluate the lagged, nonlinear associations between meteorological factors and pathogen activity in post-COVID-19 Wuhan, China.

Methods: A total of 28,903 respiratory specimens were collected from pediatric patients at a tertiary hospital between November 2023 and February 2025. Seven pathogens-Mycoplasma pneumoniae, adenovirus, respiratory syncytial virus (RSV), influenza A/B, and parainfluenza virus types I/III-were detected using multiplex RT-PCR. Epidemiological patterns were analyzed by age, sex, seasonality, and clinical setting. Daily meteorological data (temperature, relative humidity, wind speed) were aggregated citywide and temporally matched to case data. Spearman correlation and generalized additive models integrated with distributed lag nonlinear models (GAM-DLNMs) were used to assess pathogen-specific climatic sensitivity.

Results: M. pneumoniae (18.9%), adenovirus (14.5%), and RSV (9.1%) were the most prevalent pathogens. Distinct age- and sex-specific distributions were observed, with M. pneumoniae peaking in school-aged boys and RSV in infants. Seasonal peaks were evident: RSV and influenza A predominated in winter, while adenovirus peaked in spring. Meteorological analysis revealed pathogen-specific associations: low humidity preceded RSV surges by 7-14 days; influenza B was strongly associated with wind exposure; and extreme climatic conditions showed heterogeneous effects on transmission risk across pathogens.

Conclusions: This study demonstrates the utility of GAM-DLNMs in capturing climate-sensitive, time-lagged transmission dynamics for multiple pediatric respiratory pathogens. The findings support the development of localized, climate-informed early warning systems to enhance respiratory disease surveillance and preparedness.

中国武汉儿童呼吸道感染的流行病学趋势和气候驱动因素:多病原体分析。
目的:了解武汉市新冠肺炎疫情后儿童呼吸道感染的流行病学特征,并评估气象因素与病原体活性之间的滞后非线性关联。方法:于2023年11月至2025年2月在某三级医院收集儿科患者呼吸道标本28903份。采用多重RT-PCR检测肺炎支原体、腺病毒、呼吸道合胞病毒(RSV)、流感A/B和副流感病毒I/ iii型7种病原体。按年龄、性别、季节性和临床情况分析流行病学模式。每日气象数据(温度、相对湿度、风速)在全市范围内汇总,并与病例数据进行时间匹配。采用Spearman相关模型和结合分布滞后非线性模型(GAM-DLNMs)的广义加性模型来评估病原体特异性气候敏感性。结果:肺炎支原体(18.9%)、腺病毒(14.5%)和呼吸道合胞病毒(9.1%)是最常见的病原体。观察到明显的年龄和性别特异性分布,肺炎支原体在学龄男孩中达到高峰,而呼吸道合胞病毒在婴儿中达到高峰。季节性高峰明显,RSV和甲型流感以冬季为主,腺病毒以春季为主。气象分析显示病原特异性关联:低湿度比RSV激增早7-14天;乙型流感与风暴露密切相关;极端气候条件对病原体传播风险的影响也不尽相同。结论:本研究证明了gam - dlnm在捕捉多种儿童呼吸道病原体的气候敏感、时滞传播动态方面的实用性。研究结果支持开发局部气候预警系统,以加强呼吸系统疾病的监测和防范。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
7.00%
发文量
1817
审稿时长
14 weeks
期刊介绍: Frontiers in Cellular and Infection Microbiology is a leading specialty journal, publishing rigorously peer-reviewed research across all pathogenic microorganisms and their interaction with their hosts. Chief Editor Yousef Abu Kwaik, University of Louisville is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Cellular and Infection Microbiology includes research on bacteria, fungi, parasites, viruses, endosymbionts, prions and all microbial pathogens as well as the microbiota and its effect on health and disease in various hosts. The research approaches include molecular microbiology, cellular microbiology, gene regulation, proteomics, signal transduction, pathogenic evolution, genomics, structural biology, and virulence factors as well as model hosts. Areas of research to counteract infectious agents by the host include the host innate and adaptive immune responses as well as metabolic restrictions to various pathogenic microorganisms, vaccine design and development against various pathogenic microorganisms, and the mechanisms of antibiotic resistance and its countermeasures.
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