Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China

doi:10.1007/s11356-021-16450-5

	Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China
	Xia, Xiaolin 1,3; Yao, Ling 2,3,5; Lu, Jiaying 2,3,4; Liu, Yangxiaoyue 1,3; Jing, Wenlong 1,3; Li, Yong 1,3
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2021-09-16
页码	11
关键词	Fine particulate matter Health effect Causative impact Acute upper respiratory disease Convergent cross mapping Distributed lag nonlinear model
ISSN号	0944-1344
DOI	10.1007/s11356-021-16450-5
通讯作者	Yao, Ling(yaoling@lreis.ac.cn)
英文摘要	Association between fine particulate matter (PM2.5) and respiratory health has attracted great concern in China. Substantial epidemiological evidences confirm the correlational relationship between PM2.5 and respiratory disease in many Chinese cities. However, the causative impact of PM2.5 on respiratory disease remains uncertain and comparative analysis is limited. This study aims to explore and compare the correlational relationship as well as the causal connection between PM2.5 and upper respiratory tract infection (URTI) in two typical cities (Beijing, Shenzhen) with rather different ambient air environment conditions. The distributed lag nonlinear model (DLNM) was used to detect the correlational relationship between PM2.5 and URTI by revealing the lag effect pattern of PM2.5 on URTI. The convergent cross mapping (CCM) method was applied to explore the causal connection between PM2.5 and URTI. The results from DLNM indicate that an increase of 10 mu g/m(3) in PM2.5 concentration is associated with an increase of 1.86% (95% confidence interval: 0.74%-2.99%) in URTI at a lag of 13 days in Beijing, compared with 2.68% (95% confidence interval: 0.99-4.39%) at a lag of 1 day in Shenzhen. The causality detection with CCM quantitatively demonstrates the significant causative influence of PM2.5 on URTI in both two cities. Findings from the two methods consistently show that people living in low-concentration areas (Shenzhen) are less tolerant to PM2.5 exposure than those in high-concentration areas (Beijing). In general, our study highlights the adverse health effects of PM2.5 pollution on the general public in cities with various PM2.5 levels and emphasizes the needs for the government to provide appropriate solutions to control PM2.5 pollution, even in cities with low PM2.5 concentration.
资助项目	National Natural Science Foundation of China[41771380] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory[GML2019ZD0301] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200103003] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200103006] ; China Postdoctoral Science Foundation[2020M682628] ; State Key Laboratory of Resources and Environmental Information System ; National Postdoctoral Program for Innovative Talents, China[BX20200100] ; Open Research Fund of National Earth Observation Data Center[NODAOP2020002]
WOS关键词	AIR-POLLUTION ; SHORT-TERM ; HOSPITAL ADMISSIONS ; DAILY MORTALITY ; TIME-SERIES ; GASEOUS-POLLUTANTS ; GLOBAL BURDEN ; PM2.5 ; TEMPERATURE ; CAUSALITY
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000696153500007
资助机构	National Natural Science Foundation of China ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory ; GDAS' Project of Science and Technology Development ; China Postdoctoral Science Foundation ; State Key Laboratory of Resources and Environmental Information System ; National Postdoctoral Program for Innovative Talents, China ; Open Research Fund of National Earth Observation Data Center
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/165557]
专题	中国科学院地理科学与资源研究所
通讯作者	Yao, Ling
作者单位	1.Guangdong Acad Sci, Guangzhou Inst Geog,Key Lab Guangdong Utilizat Re, Engn Technol Ctr Remote Sensing Big Data Applicat, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China 5.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Xia, Xiaolin,Yao, Ling,Lu, Jiaying,et al. Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2021:11.
APA	Xia, Xiaolin,Yao, Ling,Lu, Jiaying,Liu, Yangxiaoyue,Jing, Wenlong,&Li, Yong.(2021).Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,11.
MLA	Xia, Xiaolin,et al."Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021):11.