Chunlei Han1, Rongbin Xu2, Tingting Ye2, Yang Xie3, Yang Zhao4, Haiyun Liu5, Wenhua Yu2, Yajuan Zhang6, Shanshan Li2, Zhongwen Zhang1, Yimin Ding7, Kun Han8, Chang Fang9, Baocheng Ji10, Wenhui Zhai11, Yuming Guo12. 1. School of Public Health and Management, Binzhou Medical University, Yantai, Shandong Province 264003, PR China. 2. School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia. 3. School of Economics and Management, Beihang University, Beijing 100191, PR China; Key Laboratory of Big Data-Based Precision Medicine, Ministry of Industry and Information Technology, Beihang University, Beijing 100191, PR China. 4. The George Institute for Global Health at Peking University Health Science Center, Beijing 100600, PR China; WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, VIC 3010, Australia. 5. Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, PR China. 6. School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, PR China. 7. School of Software, Tongji University, Shanghai 200092, PR China. 8. GuotaiJunan Securities, Shanghai 200030, PR China; School of Economics, Fudan University, Shanghai 200433, PR China. 9. School of Public Health, Haerbin Medical University, Harbin, Heilongjiang 150081, PR China. 10. Linyi Municipal Ecology and Environment Bureau, Linyi, Shandong 276000, PR China. 11. College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, PR China. 12. School of Public Health and Management, Binzhou Medical University, Yantai, Shandong Province 264003, PR China; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia. Electronic address: yuming.guo@monash.edu.
Abstract
OBJECTIVE: Quantifying the spatial and socioeconomic variation of mortality burden attributable to particulate matters with aerodynamic diameter ≤ 2.5 µm (PM2.5) has important implications for pollution control policy. This study aims to examine the regional and socioeconomic disparities in the mortality burden attributable to long-term exposure to ambient PM2.5 in China. METHODS: Using data of 296 cities across China from 2015 to 2019, we estimated all-cause mortality (people aged ≥ 16 years) attributable to the long-term exposure to ambient PM2.5 above the new WHO air quality guideline (5 µg/m3). Attributed fraction (AF), attributed deaths (AD), attributed mortality rate (AMR) and total value of statistical life lost (VSL) by regional and socioeconomic levels were reported. RESULTS: Over the period of 2015-2019, 17.0% [95% confidence interval (CI): 7.4-25.2] of all-cause mortality were attributable to long-term exposure to ambient PM2.5, corresponding to 1,425.2 thousand deaths (95% CI: 622.4-2,099.6), 103.5/105 (95% CI: 44.9-153.3) AMR, and 1006.9 billion USD (95% CI: 439.8-1483.4) total VSL per year. The AMR decreased from 120.5/105 (95% CI: 52.9-176.6) to 92.7/105 (95% CI:39.9-138.5) from 2015 to 2019. The highest mortality burden was observed in the north region (annual average AF = 24.2%, 95% CI: 10.8-35.1; annual average AMR = 137.0/105, 95% CI: 60.9-198.5). The highest AD and economic loss were observed in the east region (annual average AD = 390.0 thousand persons, 95% CI: 170.3-574.6; annual total VSL = 275.6 billion USD, 95% CI: 120.3-406.0). Highest AMR was in the cities with middle level of GDP per capita (PGDP)/urbanization. The majority of the top ten cities of AF, AMR and VSL were in high and middle PGDP/urbanization regions. CONCLUSION: There were significant regional and socioeconomic disparities in PM2.5 attributed mortality burden among Chinese cities, suggesting differential mitigation policies are required for different regions in China.
OBJECTIVE: Quantifying the spatial and socioeconomic variation of mortality burden attributable to particulate matters with aerodynamic diameter ≤ 2.5 µm (PM2.5) has important implications for pollution control policy. This study aims to examine the regional and socioeconomic disparities in the mortality burden attributable to long-term exposure to ambient PM2.5 in China. METHODS: Using data of 296 cities across China from 2015 to 2019, we estimated all-cause mortality (people aged ≥ 16 years) attributable to the long-term exposure to ambient PM2.5 above the new WHO air quality guideline (5 µg/m3). Attributed fraction (AF), attributed deaths (AD), attributed mortality rate (AMR) and total value of statistical life lost (VSL) by regional and socioeconomic levels were reported. RESULTS: Over the period of 2015-2019, 17.0% [95% confidence interval (CI): 7.4-25.2] of all-cause mortality were attributable to long-term exposure to ambient PM2.5, corresponding to 1,425.2 thousand deaths (95% CI: 622.4-2,099.6), 103.5/105 (95% CI: 44.9-153.3) AMR, and 1006.9 billion USD (95% CI: 439.8-1483.4) total VSL per year. The AMR decreased from 120.5/105 (95% CI: 52.9-176.6) to 92.7/105 (95% CI:39.9-138.5) from 2015 to 2019. The highest mortality burden was observed in the north region (annual average AF = 24.2%, 95% CI: 10.8-35.1; annual average AMR = 137.0/105, 95% CI: 60.9-198.5). The highest AD and economic loss were observed in the east region (annual average AD = 390.0 thousand persons, 95% CI: 170.3-574.6; annual total VSL = 275.6 billion USD, 95% CI: 120.3-406.0). Highest AMR was in the cities with middle level of GDP per capita (PGDP)/urbanization. The majority of the top ten cities of AF, AMR and VSL were in high and middle PGDP/urbanization regions. CONCLUSION: There were significant regional and socioeconomic disparities in PM2.5 attributed mortality burden among Chinese cities, suggesting differential mitigation policies are required for different regions in China.
Authors: Peiyue Tu; Ya Tian; Yujia Hong; Lu Yang; Jiayi Huang; Haoran Zhang; Xin Mei; Yanhua Zhuang; Xin Zou; Chao He Journal: Int J Environ Res Public Health Date: 2022-09-25 Impact factor: 4.614