空气污染
污染物
环境科学
慢性阻塞性肺病
泊松回归
环境卫生
医学
污染
空气污染物浓度
恶化
环境工程
空气污染物
人口
内科学
化学
有机化学
生物
生态学
作者
Wenjun Du,Weidong Zhang,Hongyu Hu,Miaoyun Zhang,Yiling He,Zhiming Li
出处
期刊:Chemosphere
[Elsevier]
日期:2021-03-01
卷期号:267: 128905-128905
被引量:15
标识
DOI:10.1016/j.chemosphere.2020.128905
摘要
Most cities in China are experiencing severe air pollution due to rapid economic development and accelerated industrialization. Exposure to various air pollutants has been related to acute exacerbations of chronic obstructive pulmonary disease (AECOPD). However, less is known about the spatial association between air pollution and AECOPD hospitalizations in the Yangtze River delta (YRD) economic and industrial region. Jinhua city is located in the YRD region of East China, in the middle of Zhejiang province. For the first time, 1563 AECOPD hospitalization cases in Jinhua during 2019 were enrolled in our analysis. The spatial distribution of six pollutants (SO2, CO, PM10, PM2.5, O3, NO2) and the population temporal-spatial specific air pollutant exposure levels were estimated using the ordinary Kriging model through geographic information system (GIS). Global Moran’s I was used to explore the spatial association between ambient air pollutants and AECOPD hospitalizations. The Z-scores of residential SO2, CO, PM10, PM2.5, O3, and NO2 levels were 31.88, 42.95, 45.90, 32.29, 52.18, and 34.59, respectively. The concentrations of six monitored pollutants and AECOPD hospitalizations showed statistically significant spatial clustering. A generalized linear model (GLM) using a Poisson distribution with the log-link function was used to construct a core model. After adjusting for potential confounders in the model, residential SO2, NO2 and O3 concentrations were significantly associated with increased AECOPD hospitalizations.
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