Spatiotemporal Changes in Fine Particulate Matter Pollution and the Associated Mortality Burden in China between 2015 and 2016

Luwei Feng, Bo Ye, Huan Feng, Fu Ren, Shichun Huang, Xiaotong Zhang, Yunquan Zhang, Qingyun Du and Lu Ma
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Luwei Feng: School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
Bo Ye: Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
Huan Feng: Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
Fu Ren: School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
Shichun Huang: Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
Xiaotong Zhang: Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
Yunquan Zhang: Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
Qingyun Du: School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
Lu Ma: Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China

IJERPH, 2017, vol. 14, issue 11, 1-15

Abstract: In recent years, research on the spatiotemporal distribution and health effects of fine particulate matter (PM 2.5 ) has been conducted in China. However, the limitations of different research scopes and methods have led to low comparability between regions regarding the mortality burden of PM 2.5 . A kriging model was used to simulate the distribution of PM 2.5 in 2015 and 2016. Relative risk (RR) at a specified PM 2.5 exposure concentration was estimated with an integrated exposure–response (IER) model for different causes of mortality: lung cancer (LC), ischaemic heart disease (IHD), cerebrovascular disease (stroke) and chronic obstructive pulmonary disease (COPD). The population attributable fraction (PAF) was adopted to estimate deaths attributed to PM 2.5 . 72.02% of cities experienced decreases in PM 2.5 from 2015 to 2016. Due to the overall decrease in the PM 2.5 concentration, the total number of deaths decreased by approximately 10,658 per million in 336 cities, including a decrease of 1400, 1836, 6312 and 1110 caused by LC, IHD, stroke and COPD, respectively. Our results suggest that the overall PM 2.5 concentration and PM 2.5 -related deaths exhibited decreasing trends in China, although air quality in local areas has deteriorated. To improve air pollution control strategies, regional PM 2.5 concentrations and trends should be fully considered.

Keywords: PM 2.5; spatiotemporal characteristics; population exposure; mortality burden; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
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