Time series study on the correlation between atmospheric particulate matter and confirmed cases of influenza in Pudong New Area, Shanghai
10.3969/j.issn.1006-2483.2021.01.009
- VernacularTitle:大气颗粒物与上海浦东新区流感确诊病例相关性的时间序列研究
- Author:
Zou CHEN
1
,
2
,
3
;
Yunping WANG
1
,
2
;
Dan LIU
1
,
2
;
Weiping ZHU
1
,
2
;
Huozheng GU
1
;
Qi ZHAO
3
;
Lipeng HAO
1
,
2
Author Information
1. Shanghai Pudong New Area Center for Disease Control and Prevention，Shanghai 200136，China
2. Fudan University Pudong Institute of Preventive Medicine，Shanghai 200136，China
3. School of Public Health，Fudan University，Shanghai 200032，China
- Publication Type:Journal Article
- Keywords:
PM2.5;
PM10;
Influenza;
Generalized additive model
- From:
Journal of Public Health and Preventive Medicine
2021;32(1):36-39,71
- CountryChina
- Language:Chinese
-
Abstract:
Objective To understand the correlation between atmospheric particulate matter and confirmed cases of influenza in Pudong New Area, Shanghai, and to provide a basis for formulating relevant control measures. Methods The meteorological factors (average temperature, relative humidity, and atmospheric pressure), atmospheric pollutants (PM2.5, PM10, SO2, NO2, CO, and O3) and confirmed cases of influenza of different ages and genders from January 1, 2014 to December 31, 2018 were collected. Data was fitted to a generalized additive model of Poisson distribution to assess the correlation between atmospheric particulate matter (PM2.5, PM10) and the number of confirmed cases of influenza. Results There was a correlation between atmospheric particulate matter and the number of confirmed cases of influenza in Pudong New Area. For each increase of 10 μg/m3 in the concentration of the two types of particulate matter, the confirmed cases increased by 0.638% (95%CI: 0.413%~0.864%), and 0.520% (95%CI: 0.324%~0.715%), respectively, when the lag was 0-7d (lag07). People of different ages and genders were affected by atmospheric particulate matter differently. After incorporating the effects of SO2, NO2, CO, and O3 in the multi-pollutant model, the effect of atmospheric particulate matter on the number of influenza cases had changed. Conclusion The increase of atmospheric particulate matter (PM2.5, PM10) concentration increased the number of confirmed cases of influenza in Pudong New Area.
