1. Effects of extreme meteorological factors and high air pollutant concentrations on the incidence of hand, foot and mouth disease in Jining, China.
- Author
-
Cao H, Xu R, Liang Y, Li Q, Jiang W, Jin Y, Wang W, and Yuan J
- Subjects
- China epidemiology, Humans, Incidence, Particulate Matter adverse effects, Particulate Matter analysis, Child, Preschool, Female, Wind, Male, Infant, Sulfur Dioxide analysis, Sulfur Dioxide adverse effects, Meteorological Concepts, Extreme Weather, Child, Hand, Foot and Mouth Disease epidemiology, Air Pollutants adverse effects, Air Pollutants analysis, Air Pollution adverse effects, Air Pollution analysis
- 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, PM
2.5 , SO2 , O3 and HFMD. The cumulative risk of extreme high temperature was higher at the 95th percentile ( P95 th) than at the 90th percentile( P90 th), and the RR values for both reached their maximum at 10-day lag ( P95 th RR = 1.880 (1.261-2.804), P90 th 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 ( P95 th RR = 1.702 (1.389-2.085), P90 th RR = 1.498(1.283-1.750)). The cumulative effect of PM2.5 concentration at the P90 th was largest at 14-day lag ( RR = 1.637 (1.069-2.506)), and the cumulative effect at the P95 th was largest at 10-day lag ( RR = 1.569 (1.021-2.411)). High SO2 concentration at the P95 th 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., Competing Interests: The authors declare that they have no competing interests., (© 2024 Cao et al.)- Published
- 2024
- Full Text
- View/download PDF