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

Author:

Cao Haoyue1,Xu Rongrong2,Liang Yongmei3,Li Qinglin1,Jiang Wenguo4,Jin Yudi5,Wang Wenjun6,Yuan Juxiang1

Affiliation:

1. School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China

2. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China

3. Business Management Department, Jining Center For Disease Control And Prevention, Jining, Shandong, China

4. Infectious Disease Prevention and Control Department, Jining Center For Disease Control And Prevention, Jining, Shandong, China

5. Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

6. Weifang Nursing Vocational College, Weifang, Shandong, China

Abstract

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.

Funder

National Key Projects of Research and Development of China

Publisher

PeerJ

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