Time-series analysis of association between air pollution and hospital outpatient visits in a district of Shanghai from 2015 to 2019
10.19428/j.cnki.sjpm.2023.22983
- VernacularTitle:2015—2019年上海市某区大气污染物与医院门诊量的时间序列分析
- Author:
Peng JI
1
;
Xianbiao SHEN
1
;
Zhen YUAN
1
;
Lili YAN
1
;
Cheng YANG
1
Author Information
1. Baoshan District Center for Disease Control and Prevention， Shanghai 201901，China
- Publication Type:Journal Article
- Keywords:
air pollutant;
air pollution;
outpatient visit;
time-series analysis;
generalized linear model;
exposure-response relationship
- From:
Shanghai Journal of Preventive Medicine
2023;35(10):970-975
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo explore the association between air pollutants and hospital outpatient visits in a district of Shanghai. MethodsDaily meteorological data， environmental data， data of outpatient visits to two secondary hospitals and two tertiary hospitals in this district from January 1， 2015 to December 31， 2019 were collected. A Poisson regression generalized linear model was used to analyze the exposure-response relationship between the air pollutants and hospital outpatient visits in this area. ResultsDuring the study period， the total number of outpatient visits in the included hospitals was 17 802 634， with an average daily total of （9 750±4 191） outpatient visits，and an average daily of （761±341） respiratory outpatient visits. In the lag effect of single pollutant model， when the concentration of air pollutant increased by 10 μg·m-3， PM2.5， SO2， NO2 had the maximum lag effect on the number of outpatient visits in the department of internal medicine for respiratory diseases on lag day 4， day 5 and day 7， respectively. And the RR values and 95%CI were 1.002 0（1.001 3‒1.002 6）， 1.0154（1.012 3‒1.018 5）， and 1.006 1（1.005 3‒1.006 9）， respectively. ConclusionThere is a exposure-response relationship between air pollutants and the number of outpatient visits in each department of the hospitals， and different pollutants have different degrees of lag effects.
