- VernacularTitle:上海市浦东新区流感样病例与大气颗粒物的相关性分析
- Author:
Zou CHEN
1
;
Yuan-ping WANG
1
;
Dan LIU
1
;
Wei-ping ZHU
1
;
Qi ZHAO
2
;
Yi-xin ZHOU
1
Author Information
- Publication Type:Journal Article
- Keywords: PM2.5; PM10; Influenza-like illness; Generalized additive model
- From: Journal of Public Health and Preventive Medicine 2022;33(5):32-35
- CountryChina
- Language:Chinese
- Abstract: Objective To assess the association between atmospheric particulate matter and influenza-like illness in Pudong New Area so as to provide a basis for formulating relevant control measures. Methods The Poisson distribution generalized addition model was used in this study to evaluate the relationship between atmospheric particulate matter (PM2.5, PM10) and the number of daily influenza-like illness cases using the data of meteorological factors, air pollutants and influenza-like cases obtained from January 1, 2013 to December 31, 2018 in Pudong New Area. Results There was a correlation between atmospheric particulate matter (PM2.5, PM10) and the number of influenza-like illness cases in Pudong New Area. For every 10 μg/m3 increase in the concentration of the two particulate matter, the number of influenza-like illness cases increased by 2.48% (95%CI: 2.27% -2.68%) and1.87% (95%CI: 1.70% - 2.04%) after a lag of 0-7d (lag0 - lag7). After incorporating the effects of SO2 and NO22 in the multi-pollutant model, the effect of atmospheric particulate matter on the number of influenza-like illness cases increased. Conclusion The increases in the concentrations of atmospheric particulate matter (PMluate the relationship between atmospheric particulate matter (PM, PM10) may increase the number of influenza-like illness cases in Pudong New Area.


