Effects of extreme meteorological factors and high air pollutant concentrations on the incidence of hand, foot and mouth disease in Jining, China

作者全名：Cao, Haoyue; Xu, Rongrong; Liang, Yongmei; Li, Qinglin; Jiang, Wenguo; Jin, Yudi; Wang, Wenjun; Yuan, Juxiang

作者地址：[Cao, Haoyue; Li, Qinglin; Yuan, Juxiang] North China Univ Sci & Technol, Sch Publ Hlth, Tangshan, Hebei, Peoples R China; [Xu, Rongrong] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing, Peoples R China; [Liang, Yongmei] Jining Ctr Dis Control & Prevent, Business Management Dept, Jining, Shandong, Peoples R China; [Jiang, Wenguo] Jining Ctr Dis Control & Prevent, Infect Dis Prevent & Control Dept, Jining, Shandong, Peoples R China; [Jin, Yudi] Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing, Peoples R China; [Wang, Wenjun] Weifang Nursing Vocat Coll, Weifang, Shandong, Peoples R China

通信作者：Yuan, JX (通讯作者)，North China Univ Sci & Technol, Sch Publ Hlth, Tangshan, Hebei, Peoples R China.; Wang, WJ (通讯作者)，Weifang Nursing Vocat Coll, Weifang, Shandong, Peoples R China.

来源：PEERJ

ESI学科分类：Multidisciplinary

WOS号：WOS:001247349000003

JCR分区：Q2

影响因子：2.3

年份：2024

卷号：12

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Extreme meteorological factors; High pollutant concentration; Influencing factors; Hand; foot and mouth disease

摘要：Background: The evidence on the effects of extreme meteorological conditions and high air pollution levels on incidence of hand, foot and mouth disease (HFMD) is limited. Moreover, results of the available studies are inconsistent. Further investigations are imperative to elucidate the specific issue. Methods: Data on the daily cases of HFMD, meteorological factors and air pollution were obtained from 2017 to 2022 in Jining City. We employed distributed lag nonlinear model (DLNM) incorporated with Poisson regression to explore the impacts of extreme meteorological conditions and air pollution on HFMD incidence. Results: We found that there were nonlinear relationships between temperature, wind speed, PM2.5, SO2, O3 and HFMD. The cumulative risk of extreme high temperature was higher at the 95th percentile (P95th) than at the 90th percentile (P90th), and the RR values for both reached their maximum at 10 -day lag (P95th RR = 1.880 (1.261-2.804), P90th RR = 1.787 (1.244-2.569)), the hazardous effect of extreme low temperatures on HFMD is faster than that of extreme high temperatures. The cumulative effect of extreme low wind speeds reached its maximum at 14 -day lag (P95th RR = 1.702 (1.389-2.085), P90th RR = 1.498 (1.283-1.750)). The cumulative effect of PM2.5 concentration at the P90th was largest at 14 -day lag (RR = 1.637 (1.069-2.506)), and the cumulative effect at the P95th was largest at 10 -day lag (RR = 1.569 (1.021-2.411)). High SO2 concentration at the P95th at 14 -day lag was associated with higher risk for HFMD (RR: 1.425 (1.001-2.030)). Conclusion: Our findings suggest that high temperature, low wind speed, and high concentrations of PM2.5 and SO2 are associated with an increased risk of HFMD. This study not only adds insights to the understanding of the impact of extreme meteorological conditions and high levels of air pollutants on HFMD incidence but also holds practical significance for the development and enhancement of an early warning system for HFMD.

基金机构：National Key Projects of Research and Development of China [2016YFC0900605]

基金资助正文：<B>Funding</B> This work was supported by the National Key Projects of Research and Development of China (No. 2016YFC0900605) . The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.