详细信息
Epidemiological trends and climate-driven dynamics of children respiratory infections in Lanzhou, China: a multi-pathogen time-series analysis ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Epidemiological trends and climate-driven dynamics of children respiratory infections in Lanzhou, China: a multi-pathogen time-series analysis
作者:Wang, Biao[1,2];Zhang, Hui[1];Liang, Shu[1];Wei, Huan[1];Zhang, Lianmei[3];Wang, Miao[1];Zhang, Huimin[1];Zhang, Xiaoshu[1,2];Dong, Maoxing[1]
第一作者:Wang, Biao;王波;王渤;王斌;王博
通信作者:Zhang, HM[1];Zhang, XS[1];Dong, MX[1];Zhang, XS[2]
机构:[1]Gansu Prov Ctr Dis Control & Prevent, Lanzhou, Peoples R China;[2]Gansu Univ Chinese Med, Publ Hlth Sch, Lanzhou, Peoples R China;[3]Lanzhou Ctr Dis Control & Prevent, Microbiol Lab, Lanzhou, Peoples R China
第一机构:Gansu Prov Ctr Dis Control & Prevent, Lanzhou, Peoples R China
通信机构:[1]corresponding author), Gansu Prov Ctr Dis Control & Prevent, Lanzhou, Peoples R China;[2]corresponding author), Gansu Univ Chinese Med, Publ Hlth Sch, Lanzhou, Peoples R China.|[10735]甘肃中医药大学;
年份:2026
卷号:16
起止页码:1777468
外文期刊名:FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
收录:;Scopus(收录号:2-s2.0-105041243341);WOS:【SCI-EXPANDED(收录号:WOS:001782393500001)】;
基金:The author(s) declared that financial support was received for this work and/or its publication. This study was supported by theGansu Provincial Key Research and Development Program-Social Development Field Special Project (No.: 23YFFA0051) ; the Gansu Provincial Disease Prevention and Control Research Project (No.: GSJKKY2025-44) and the Gansu Provincial Health Industry Science and Technology Innovation Major Project (Grant NO. GSWSKY2024-022).
语种:英文
外文关键词:children; climate sensitivity monitoring; distribution lag nonlinear model; epidemiology; meteorological factors; respiratory infections
摘要:Objective The COVID-19 pandemic significantly affected the transmission of respiratory pathogens worldwide. This study aimed to describe the epidemiological characteristics of respiratory infections among children in Lanzhou, China, during the post-pandemic period and to investigate how meteorological factors influence the transmission of respiratory pathogens in the Lanzhou region. Methods During the study period, 42.5% of children tested positive for respiratory pathogens (32.8% single, 9.7% mixed infections). Predominant pathogens were influenza virus (IFV, 12.3%), adenovirus (HAdV, 8.2%), rhinovirus (RV, 7.5%), and respiratory syncytial virus (RSV, 6.7%). RSV and IFV peaked in infants <1 year (14.1% and 13.5%), while Mycoplasma pneumoniae (MP) was highest in school-aged children (8.5%). Mixed infections increased with age (2.8% to 11.6%), with no sex differences. Seasonal patterns varied: IFV peaked in winter (26.9%), enteroviruses in summer (18.9%), and RSV showed bimodal winter-spring distribution. IFV negatively correlated with temperature (r = -0.50) and positively with atmospheric pressure (r = 0.37). RSV negatively correlated with temperature (r = -0.49), while MP positively correlated with humidity and pressure.Nonlinear lag modeling showed immediate meteorological effects (0-week lag). IFV showed elevated risk under extreme low temperatures and high pressure (RR: 10.395 and 18.597), though wide confidence intervals warrant caution. HAdV and MP risks increased similarly. Conversely, HPIV and RV showed protective associations at low temperatures or high wind speeds. Wind speed appeared protective against most pathogens, but this observational finding requires interventional validation. Conclusion Pediatric respiratory pathogen prevalence in Lanzhou exhibited distinct age-dependent and seasonal characteristics, with pathogen-specific meteorological associations. Detection risks for IFV, RSV, HAdV, and MP increased with low temperatures and high pressure, while RV and HPIV showed opposite patterns. The protective wind speed effect suggests ventilation improvements may reduce transmission risk, though this hypothesis-generating conclusion requires further validation. These findings inform age-stratified, seasonally-adapted prevention strategies and meteorological early warning systems.
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