PM2.5-related health and economic loss assessment for 338 Chinese cities
China is in a critical stage of ambient air quality management after global attention on pollution in its cities. Industrial development and urbanization have led to alarming levels of air pollution with serious health hazards in densely populated cities. The quantification of cause-specific PM2.5-r...
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| Published in | Environment international Vol. 121; no. Pt 1; pp. 392 - 403 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.12.2018
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | China is in a critical stage of ambient air quality management after global attention on pollution in its cities. Industrial development and urbanization have led to alarming levels of air pollution with serious health hazards in densely populated cities. The quantification of cause-specific PM2.5-related health impacts and corresponding economic loss estimation is crucial for control policies on ambient PM2.5 levels. Based on ground-level direct measurements of PM2.5 concentrations in 338 Chinese cities for the year 2016, this study estimates cause-specific mortality using integrated exposure-response (IER) model, non-linear power law (NLP) model and log-linear (LL) model followed by morbidity assessment using log-linear model. The willingness to pay (WTP) and cost of illness (COI) methods have been used for PM2.5-attributed economic loss assessment. In 2016 in China, the annual PM2.5 concentration ranged between 10 and 157 μg/m3 and 78.79% of the total population was exposed to >35 μg/m3 PM2.5 concentration. Subsequently, the national PM2.5-attributable mortality was 0.964 (95% CI: 0.447, 1.355) million (LL: 1.258 million and NPL: 0.770 million), about 9.98% of total reported deaths in China. Additionally, the total respiratory disease and cardiovascular disease-specific hospital admission morbidity were 0.605 million and 0.364 million. Estimated chronic bronchitis, asthma and emergency hospital admission morbidity were 0.986, 1.0 and 0.117 million respectively. Simultaneously, the PM2.5 exposure caused the economic loss of 101.39 billion US$, which is 0.91% of the national GDP in 2016. This study, for the first time, highlights the discrepancies associated with the three commonly used methodologies applied for cause-specific mortality assessment. Mortality and morbidity results of this study would provide a measurable assessment of 338 cities to the provincial and national policymakers of China for intensifying their efforts on air quality improvement.
The spatial distributions of annual mean PM2.5 concentrations (μg/m3) (left) and corresponding total premature mortality per 100,000 population attributable to PM2.5 (right) in 338 cities in China. [Display omitted]
•This study provides a comprehensive analysis of PM2.5 associated health risk in China using three most prevalent methods.•Total PM2.5-related death was 0.964 million using IER method, 1.258 million using LL and 0.770 million using NPL method.•Cities with high premature mortality were largely located in heavily polluted and densely populated regions.•Total economic loss due to PM2.5 exposure was 101.39 billion US$, about 0.91% of the total Chinese GDP.•Only 8.3% of total premature deaths could be avoided by meeting national PM2.5-target in 2030. |
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| AbstractList | China is in a critical stage of ambient air quality management after global attention on pollution in its cities. Industrial development and urbanization have led to alarming levels of air pollution with serious health hazards in densely populated cities. The quantification of cause-specific PM2.5-related health impacts and corresponding economic loss estimation is crucial for control policies on ambient PM2.5 levels. Based on ground-level direct measurements of PM2.5 concentrations in 338 Chinese cities for the year 2016, this study estimates cause-specific mortality using integrated exposure-response (IER) model, non-linear power law (NLP) model and log-linear (LL) model followed by morbidity assessment using log-linear model. The willingness to pay (WTP) and cost of illness (COI) methods have been used for PM2.5-attributed economic loss assessment. In 2016 in China, the annual PM2.5 concentration ranged between 10 and 157 μg/m3 and 78.79% of the total population was exposed to >35 μg/m3 PM2.5 concentration. Subsequently, the national PM2.5-attributable mortality was 0.964 (95% CI: 0.447, 1.355) million (LL: 1.258 million and NPL: 0.770 million), about 9.98% of total reported deaths in China. Additionally, the total respiratory disease and cardiovascular disease-specific hospital admission morbidity were 0.605 million and 0.364 million. Estimated chronic bronchitis, asthma and emergency hospital admission morbidity were 0.986, 1.0 and 0.117 million respectively. Simultaneously, the PM2.5 exposure caused the economic loss of 101.39 billion US$, which is 0.91% of the national GDP in 2016. This study, for the first time, highlights the discrepancies associated with the three commonly used methodologies applied for cause-specific mortality assessment. Mortality and morbidity results of this study would provide a measurable assessment of 338 cities to the provincial and national policymakers of China for intensifying their efforts on air quality improvement.China is in a critical stage of ambient air quality management after global attention on pollution in its cities. Industrial development and urbanization have led to alarming levels of air pollution with serious health hazards in densely populated cities. The quantification of cause-specific PM2.5-related health impacts and corresponding economic loss estimation is crucial for control policies on ambient PM2.5 levels. Based on ground-level direct measurements of PM2.5 concentrations in 338 Chinese cities for the year 2016, this study estimates cause-specific mortality using integrated exposure-response (IER) model, non-linear power law (NLP) model and log-linear (LL) model followed by morbidity assessment using log-linear model. The willingness to pay (WTP) and cost of illness (COI) methods have been used for PM2.5-attributed economic loss assessment. In 2016 in China, the annual PM2.5 concentration ranged between 10 and 157 μg/m3 and 78.79% of the total population was exposed to >35 μg/m3 PM2.5 concentration. Subsequently, the national PM2.5-attributable mortality was 0.964 (95% CI: 0.447, 1.355) million (LL: 1.258 million and NPL: 0.770 million), about 9.98% of total reported deaths in China. Additionally, the total respiratory disease and cardiovascular disease-specific hospital admission morbidity were 0.605 million and 0.364 million. Estimated chronic bronchitis, asthma and emergency hospital admission morbidity were 0.986, 1.0 and 0.117 million respectively. Simultaneously, the PM2.5 exposure caused the economic loss of 101.39 billion US$, which is 0.91% of the national GDP in 2016. This study, for the first time, highlights the discrepancies associated with the three commonly used methodologies applied for cause-specific mortality assessment. Mortality and morbidity results of this study would provide a measurable assessment of 338 cities to the provincial and national policymakers of China for intensifying their efforts on air quality improvement. China is in a critical stage of ambient air quality management after global attention on pollution in its cities. Industrial development and urbanization have led to alarming levels of air pollution with serious health hazards in densely populated cities. The quantification of cause-specific PM2.5-related health impacts and corresponding economic loss estimation is crucial for control policies on ambient PM2.5 levels. Based on ground-level direct measurements of PM2.5 concentrations in 338 Chinese cities for the year 2016, this study estimates cause-specific mortality using integrated exposure-response (IER) model, non-linear power law (NLP) model and log-linear (LL) model followed by morbidity assessment using log-linear model. The willingness to pay (WTP) and cost of illness (COI) methods have been used for PM2.5-attributed economic loss assessment. In 2016 in China, the annual PM2.5 concentration ranged between 10 and 157 μg/m3 and 78.79% of the total population was exposed to >35 μg/m3 PM2.5 concentration. Subsequently, the national PM2.5-attributable mortality was 0.964 (95% CI: 0.447, 1.355) million (LL: 1.258 million and NPL: 0.770 million), about 9.98% of total reported deaths in China. Additionally, the total respiratory disease and cardiovascular disease-specific hospital admission morbidity were 0.605 million and 0.364 million. Estimated chronic bronchitis, asthma and emergency hospital admission morbidity were 0.986, 1.0 and 0.117 million respectively. Simultaneously, the PM2.5 exposure caused the economic loss of 101.39 billion US$, which is 0.91% of the national GDP in 2016. This study, for the first time, highlights the discrepancies associated with the three commonly used methodologies applied for cause-specific mortality assessment. Mortality and morbidity results of this study would provide a measurable assessment of 338 cities to the provincial and national policymakers of China for intensifying their efforts on air quality improvement. The spatial distributions of annual mean PM2.5 concentrations (μg/m3) (left) and corresponding total premature mortality per 100,000 population attributable to PM2.5 (right) in 338 cities in China. [Display omitted] •This study provides a comprehensive analysis of PM2.5 associated health risk in China using three most prevalent methods.•Total PM2.5-related death was 0.964 million using IER method, 1.258 million using LL and 0.770 million using NPL method.•Cities with high premature mortality were largely located in heavily polluted and densely populated regions.•Total economic loss due to PM2.5 exposure was 101.39 billion US$, about 0.91% of the total Chinese GDP.•Only 8.3% of total premature deaths could be avoided by meeting national PM2.5-target in 2030. China is in a critical stage of ambient air quality management after global attention on pollution in its cities. Industrial development and urbanization have led to alarming levels of air pollution with serious health hazards in densely populated cities. The quantification of cause-specific PM2.5-related health impacts and corresponding economic loss estimation is crucial for control policies on ambient PM2.5 levels. Based on ground-level direct measurements of PM2.5 concentrations in 338 Chinese cities for the year 2016, this study estimates cause-specific mortality using integrated exposure-response (IER) model, non-linear power law (NLP) model and log-linear (LL) model followed by morbidity assessment using log-linear model. The willingness to pay (WTP) and cost of illness (COI) methods have been used for PM2.5-attributed economic loss assessment. In 2016 in China, the annual PM2.5 concentration ranged between 10 and 157 μg/m3 and 78.79% of the total population was exposed to >35 μg/m3 PM2.5 concentration. Subsequently, the national PM2.5-attributable mortality was 0.964 (95% CI: 0.447, 1.355) million (LL: 1.258 million and NPL: 0.770 million), about 9.98% of total reported deaths in China. Additionally, the total respiratory disease and cardiovascular disease-specific hospital admission morbidity were 0.605 million and 0.364 million. Estimated chronic bronchitis, asthma and emergency hospital admission morbidity were 0.986, 1.0 and 0.117 million respectively. Simultaneously, the PM2.5 exposure caused the economic loss of 101.39 billion US$, which is 0.91% of the national GDP in 2016. This study, for the first time, highlights the discrepancies associated with the three commonly used methodologies applied for cause-specific mortality assessment. Mortality and morbidity results of this study would provide a measurable assessment of 338 cities to the provincial and national policymakers of China for intensifying their efforts on air quality improvement. Keywords: China, Spatial distributions of PM2.5, Long-term mortality, Morbidity, Economic loss China is in a critical stage of ambient air quality management after global attention on pollution in its cities. Industrial development and urbanization have led to alarming levels of air pollution with serious health hazards in densely populated cities. The quantification of cause-specific PM2.5-related health impacts and corresponding economic loss estimation is crucial for control policies on ambient PM2.5 levels. Based on ground-level direct measurements of PM2.5 concentrations in 338 Chinese cities for the year 2016, this study estimates cause-specific mortality using integrated exposure-response (IER) model, non-linear power law (NLP) model and log-linear (LL) model followed by morbidity assessment using log-linear model. The willingness to pay (WTP) and cost of illness (COI) methods have been used for PM2.5-attributed economic loss assessment. In 2016 in China, the annual PM2.5 concentration ranged between 10 and 157 μg/m3 and 78.79% of the total population was exposed to >35 μg/m3 PM2.5 concentration. Subsequently, the national PM2.5-attributable mortality was 0.964 (95% CI: 0.447, 1.355) million (LL: 1.258 million and NPL: 0.770 million), about 9.98% of total reported deaths in China. Additionally, the total respiratory disease and cardiovascular disease-specific hospital admission morbidity were 0.605 million and 0.364 million. Estimated chronic bronchitis, asthma and emergency hospital admission morbidity were 0.986, 1.0 and 0.117 million respectively. Simultaneously, the PM2.5 exposure caused the economic loss of 101.39 billion US$, which is 0.91% of the national GDP in 2016. This study, for the first time, highlights the discrepancies associated with the three commonly used methodologies applied for cause-specific mortality assessment. Mortality and morbidity results of this study would provide a measurable assessment of 338 cities to the provincial and national policymakers of China for intensifying their efforts on air quality improvement. |
| Author | Maji, Kamal Jyoti Shiva Nagendra, S.M. Ye, Wei-Feng Arora, Mohit |
| Author_xml | – sequence: 1 givenname: Kamal Jyoti surname: Maji fullname: Maji, Kamal Jyoti email: kamaljm@iitb.ac.in organization: Centre for Environmental Science and Engineering (CESE), Indian Institute of Technology Bombay, Mumbai 400076, India – sequence: 2 givenname: Wei-Feng surname: Ye fullname: Ye, Wei-Feng organization: School of Environment & Natural Resources, Renmin University of China, Beijing 100872, China – sequence: 3 givenname: Mohit surname: Arora fullname: Arora, Mohit email: arora_mohit@mymail.sutd.edu.sg organization: Engineering Product Development Pillar, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore – sequence: 4 givenname: S.M. surname: Shiva Nagendra fullname: Shiva Nagendra, S.M. organization: Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600036, India |
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| Cites_doi | 10.1016/j.envpol.2017.04.075 10.1289/EHP1673 10.1016/j.atmosenv.2012.09.060 10.1016/j.eneco.2018.01.014 10.1016/j.scitotenv.2017.08.254 10.1002/2014JD021641 10.1289/ehp.1408646 10.18356/b19523c6-en 10.1136/bmjopen-2015-009452 10.1016/j.jes.2016.08.024 10.1016/j.atmosenv.2005.10.066 10.1021/acs.est.5b01236 10.1007/s00038-015-0690-y 10.1016/j.scitotenv.2009.12.030 10.1016/j.atmosenv.2017.10.054 10.1016/j.envint.2017.10.015 10.1016/j.scitotenv.2016.11.188 10.1016/j.enpol.2009.09.039 10.1007/s11356-013-1688-8 10.1016/j.envres.2012.08.005 10.3390/ijerph14111321 10.1111/j.1365-2222.2007.02791.x 10.1016/j.scitotenv.2016.06.248 10.1021/acs.est.7b03193 10.1016/S0140-6736(17)30505-6 10.1023/A:1011180018244 10.1016/j.envpol.2016.11.080 10.1016/j.envint.2016.10.003 10.1007/s11869-009-0037-z 10.1016/j.envint.2014.07.016 10.1038/jes.2015.22 10.1016/j.envpol.2017.01.050 10.1016/j.scitotenv.2013.01.077 10.1289/ehp.1103639 10.1016/j.scitotenv.2017.12.064 10.1016/j.envsci.2011.09.007 10.1016/S0140-6736(13)62064-4 10.1371/journal.pone.0135749 10.1007/s11356-016-6270-8 10.1016/j.atmosenv.2010.06.018 10.1016/j.scitotenv.2016.05.165 10.1021/acs.est.5b03709 10.1016/j.envint.2016.09.007 10.1016/S0140-6736(12)61766-8 10.1080/10962247.2017.1407837 10.1016/j.scitotenv.2016.12.134 10.1038/nature15371 10.1088/1748-9326/aa8a32 10.1016/j.envint.2016.03.004 10.1016/j.envpol.2017.02.029 10.1289/ehp.1409111 10.1016/j.atmosenv.2017.09.006 10.1021/acs.est.5b05576 10.2202/2152-2812.1009 10.1088/1748-9326/10/10/104006 10.1016/j.envint.2016.09.003 10.1161/CIRCRESAHA.118.312956 10.1016/j.rssm.2011.04.001 10.1111/risa.12106 10.1016/j.gloenvcha.2011.08.006 10.1289/ehp.1307049 10.5194/acp-15-5715-2015 10.1016/j.envint.2016.11.002 10.1016/j.envpol.2016.03.066 10.1016/j.envint.2017.12.001 10.1016/S0140-6736(16)31597-5 10.1088/1748-9326/aa85d4 10.1007/s11356-017-8575-7 10.1016/S0140-6736(17)32152-9 10.1016/j.envpol.2017.01.060 10.5194/acp-13-7023-2013 10.1016/S0140-6736(17)32366-8 10.5194/acp-13-1377-2013 10.18632/oncotarget.20090 10.1016/j.envint.2017.12.006 10.4315/0362-028X.JFP-11-417 10.1016/j.envpol.2018.01.009 10.1016/j.scitotenv.2014.08.045 10.1289/ehp.0901623 10.1016/j.eneco.2017.10.013 10.1016/j.envpol.2017.04.049 |
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| References | Xue, Zhang (bb0450) 2018; 235 Sun, Jiang, Wang, Fu, Li, Yang, Yin (bb0380) 2014; 119 Korek, Bellander, Lind, Bottai, Eneroth, Caracciolo, de Faire, Fratiglioni, Hilding, Leander, Magnusson, Pedersen, Östenson, Pershagen, Penell (bb0195) 2015; 25 Apte, Marshall, Cohen, Brauer (bb0015) 2015; 49 Maji, Arora, Dikshit (bb2015) 2017; 24 Huang, Xu, Zhang (bb0170) 2012; 15 Matus, Nam, Selin, Lamsal, Reilly, Paltsev (bb0285) 2012; 22 Abajobir, Abbafati, Abbas, Abd-Allah, Abera (bb0005) 2017; 390 Konishi, Ng, Stickley, Nishihata, Shinsugi, Ueda, Takami, Watanabe (bb0190) 2014; 499 Gao, Li, Xu, Xu-ying, Feng-chao, Qiang (bb0105) 2015; 8 Chen, Lin, Su, Cheng (bb0050) 2017; 168 Liu, Huang, Jin, Ma, Liu, Zhang, Liu, Yu, Wang, Bi, Kinney (bb0255) 2017; 227 Guan, Zheng, Chung, Zhong (bb0120) 2016; 388 Zeng, Xie, Zong (bb0470) 2015; 1 Yin, Pizzol, Xu (bb0455) 2017; 226 Rohde, Muller (bb0355) 2015; 10 Giannadaki, Lelieveld, Pozzer (bb0110) 2016; 15 Chen, Shi, Gao, Li, Mao, Zhang, Sun, Bai, Wang (bb0055) 2017; 221 Xie, Sabel, Lu, Zhu, Kan, Nielsen, Wang (bb0435) 2016; 97 Pascal, Corso, Chanel, Declercq, Badaloni, Cesaroni, Henschel, Meister, Haluza, Martin-Olmedo, Medina (bb0325) 2013; 449 R Core Team (bb0350) 2017 Ho, Wong, Yang, Shi, Yang, Bilal, Chan (bb0145) 2018; 112 Li, Lei, Pan, Yu, Si (bb0220) 2016; 5 Wang, Wang, He, Kinney, Li (bb0410) 2018; 110 Brauer, Freedman, Frostad, van Donkelaar, Martin, Dentener, Van Dingenen, Estep, Amini, Apte, Balakrishnan, Barregard, Broday, Feigin, Ghosh, Hopke, Knibbs, Kokubo, Liu, Ma, Morawska, Texcalac Sangrador, Shaddick, Anderson, Vos, Forouzanfar, Burnett, Cohen (bb0030) 2015; 50 Evans, van Donkelaar, Martin, Burnett, Rainham, Birkett, Krewski (bb0075) 2013; 120 Wang, Mauzerall (bb0405) 2006; 40 Menon, Nagendra (bb2025) 2018; 68 Xie (bb0430) 2011; 29 Pope, Burnett, Turner, Cohen, Krewski, Jerrett, Gapstur, Thun (bb0335) 2011; 119 Lelieveld, Evans, Fnais, Giannadaki, Pozzer (bb0210) 2015; 525 World Bank (bb0425) 2017 Yin, Brauer, Cohen, Burnett, Liu, Liu, Liang, Wang, Qi, Wang, Zhou (bb0460) 2017; 125 IHME (bb0180) 2016 Li, Xin, Wang, Wang, Li, Pan, Liu, Wang (bb2000) 2013; 20 Gakidou, Afshin, Abajobir, Abate, Abbafati, Abbas, Abd-Allah (bb0100) 2017; 390 Liu, Cai, Feng, Cao, Lin, Xiao, Li, Liu, Pei, Fu, Yang, Zhang, Ma (bb0270) 2018; 173 Zheng, Xue, Zhang, Geng, Tong, Li, He (bb0510) 2017; 12 Hou, An, Wang, Guo (bb0160) 2010; 408 Miao, Huang, Song (bb2035) 2017; 56 Zhao, Yu, Wang, Fan (bb0490) 2016; 23 Hubbell, Fann, Levy (bb0175) 2009; 2 Lu, Lin, Li, Yao, Fung, Lau (bb0275) 2017; 98 Cohen, Brauer, Burnett, Anderson, Frostad, Estep, Balakrishnan, Brunekreef, Dandona, Dandona, Feigin, Freedman, Hubbell, Jobling, Kan, Knibbs, Liu, Martin, Morawska, Pope, Shin, Straif, Shaddick, Thomas, van Dingenen, van Donkelaar, Vos, Murray, Forouzanfar (bb0070) 2017; 389 Lanzi, Dellink, Chateau (bb0200) 2018 NBSC (bb2055) 2015 Fu, Jiang, Lin, Liu, Wang (bb2040) 2015; 5 OECD (bb0310) 2012 UN (United Nations) (bb0395) 2017 Tian, Zeng, Dong, Guo, Wu, Pan, Li, Liu (bb0390) 2017; 12 WHO (bb0420) 2016 Héroux, Anderson, Atkinson, Brunekreef, Cohen, Forastiere, Hurley, Katsouyanni, Krewski, Krzyzanowski, Künzli, Mills, Querol, Ostro, Walton (bb0140) 2015; 60 Zhao, Li, Zhang, Jiang, Lin, Peters, Li, Geng, Zheng, Huo, Zhang, Davis, He (bb0495) 2017 Lin, Ratnapradipa, Wang, Zhang, Xu, Yao, Dong, Liu, Clark, Dick, Xiao, Zeng, Li, Qian, Ma (bb0245) 2017; 161 Jiang, Hong, Zheng, Zheng, Guan, Gouldson, Zhang, He (bb0185) 2015; 10 Xie, Dai, Dong, Hanaoka, Masui (bb0440) 2016; 50 Cai, Wang, Zhao, Wang, Chang, Hao (bb0040) 2017; 580 Zheng, Pozzer, Cao, Lelieveld (bb0505) 2015; 15 Chen, Wang, Ma, Zhang (bb0045) 2013; 382 Song, Wu, Xie, He, Chen, Wang, Lin, Jin, Wang, Liu, Dai, Liu, Wang, Mao (bb0370) 2017; 227 Liu, Han, Tang, Zhu, Zhu (bb0250) 2016; 568 van Donkelaar, Martin, Brauer, Boys (bb0400) 2015; 123 State Council (bb0375) 2013 NBSC (bb0300) 2016 Persson, Norinder, Hjalte, Gralén (bb0330) 2001; 23 OECD (bb0320) 2016 Braathen, Lindhjem, Navrud (bb0025) 2010 WHO (bb0415) 2006 Song, He, Wu, Jin, Chen, Li, Ren, Zhang, Mao (bb0365) 2017; 223 OECD (bb0315) 2014 Feng, Ye, Feng, Ren, Huang, Zhang, Zhang, Du, Ma (bb0090) 2017; 14 Zhou, Hammitt, Fu, Gao, Liu, Levy (bb0515) 2014; 34 Hoffmann, Batz, Morris (bb0150) 2012; 75 OSPC (Office for the Sixth Population Census of each province/municipality) (bb2045) 2012 Liu, Huang, Ma, Jin, Liu, Wang, Liu, Wang, Jantunen, Bi, Kinney (bb0260) 2017; 98 Chowdhury, Dey (bb0060) 2016; 91 Fang, Naik, Horowitz, Mauzerall (bb0080) 2013; 13 Hammitt, Robinson (bb0130) 2011; 2 Zhang, Aunan, Martin Seip, Larssen, Liu, Zhang (bb0475) 2010; 38 Li, Williams, Guo (bb0215) 2016; 214 Clean Air Asia (bb0065) 2016 Pope, Cohen, Burnett (bb0340) 2018; 122 Ferreri, Peng, Bell, Ya, Li, Brooke Anderson (bb0095) 2017 Ko, Tam, Wong, Lai, Wong, Leung, Ng, Hui (bb2010) 2007; 37 Burnett, Pope, Arden, Ezzati, Olives, Lim, Mehta, Shin, Singh, Hubbell, Brauer, Anderson, Smith, Balmes, Bruce, Kan, Laden, Prüss-Ustün, Turner, Gapstur, Diver, Cohen (bb0035) 2014; 122 Shi, Zanobetti, Kloog, Coull, Koutrakis, Melly, Schwartz (bb0360) 2016; 124 Lim, Vos, Flaxman, Danaei, Shibuya, Adair-Rohani (bb0230) 2012; 380 Guo, Cheng, Chen, Zhou, Wang (bb0125) 2010; 44 Liu, Yan, Ding, Wang, Fu, Zhao, Zhang, Duan, Qiu, Zheng (bb0265) 2017; 584–585 Li, Horton, Bader, Liu, Sun, Kinney (bb0225) 2018; 112 Lin, Liu, Xiao, Zeng, Li, Guo, Zhang, Xu, Tao, Xian, Syberg, Qian, Ma (bb0235) 2016; 96 NBSC (bb0305) 2017 HEI (bb2030) 2016 Tang, Wang, Nie, Chen, Niu, Kan, Chen, Perera (bb0385) 2014; 73 Qiu, Yu, Wang, Tian, Tse, Wong (bb2005) 2013; 64 Fang, Wang, Li, Yu, Lu, Qian (bb0085) 2016; 569–570 van Donkelaar, Martin, Brauer, Kahn, Levy, Verduzco, Villeneuve (bb2020) 2010; 118 Zhang, Ou, Yang, Qi, Nam, Zhang, Zhang (bb0480) 2017; 68 Lelieveld, Barlas, Giannadaki, Pozzer (bb0205) 2013; 13 He, Gong, Yu, Yu, Wu, Mao, Song, Zhao, Liu, Li, Li (bb0135) 2017; 223 Zhao, Liang, Chen, Chen, Guan, Li (bb0500) 2017; 8 Hu, Huang, Chen, Liao, Zhang, Wang, Zhang, Ying (bb0165) 2017; 51 NBSC (National Bureau of Statistics of China) (bb2050) 2014 Giannadaki, Giannakis, Pozzer, Lelieveld (bb0115) 2018; 622–623 Maji, Dikshit, Arora, Deshpande (bb0280) 2018; 612 NBSC (10.1016/j.envint.2018.09.024_bb2055) 2015 HEI (10.1016/j.envint.2018.09.024_bb2030) 2016 Jiang (10.1016/j.envint.2018.09.024_bb0185) 2015; 10 Hu (10.1016/j.envint.2018.09.024_bb0165) 2017; 51 Chen (10.1016/j.envint.2018.09.024_bb0045) 2013; 382 Konishi (10.1016/j.envint.2018.09.024_bb0190) 2014; 499 Liu (10.1016/j.envint.2018.09.024_bb0270) 2018; 173 Lelieveld (10.1016/j.envint.2018.09.024_bb0205) 2013; 13 Gakidou (10.1016/j.envint.2018.09.024_bb0100) 2017; 390 Li (10.1016/j.envint.2018.09.024_bb2000) 2013; 20 Persson (10.1016/j.envint.2018.09.024_bb0330) 2001; 23 Xie (10.1016/j.envint.2018.09.024_bb0430) 2011; 29 Giannadaki (10.1016/j.envint.2018.09.024_bb0110) 2016; 15 IHME (10.1016/j.envint.2018.09.024_bb0180) 2016 Song (10.1016/j.envint.2018.09.024_bb0365) 2017; 223 Zheng (10.1016/j.envint.2018.09.024_bb0510) 2017; 12 Liu (10.1016/j.envint.2018.09.024_bb0250) 2016; 568 Lelieveld (10.1016/j.envint.2018.09.024_bb0210) 2015; 525 NBSC (10.1016/j.envint.2018.09.024_bb0300) 2016 Miao (10.1016/j.envint.2018.09.024_bb2035) 2017; 56 Ho (10.1016/j.envint.2018.09.024_bb0145) 2018; 112 Li (10.1016/j.envint.2018.09.024_bb0215) 2016; 214 Ferreri (10.1016/j.envint.2018.09.024_bb0095) 2017 Maji (10.1016/j.envint.2018.09.024_bb0280) 2018; 612 Tang (10.1016/j.envint.2018.09.024_bb0385) 2014; 73 Li (10.1016/j.envint.2018.09.024_bb0220) 2016; 5 Hubbell (10.1016/j.envint.2018.09.024_bb0175) 2009; 2 R Core Team (10.1016/j.envint.2018.09.024_bb0350) 2017 Song (10.1016/j.envint.2018.09.024_bb0370) 2017; 227 Cohen (10.1016/j.envint.2018.09.024_bb0070) 2017; 389 Fang (10.1016/j.envint.2018.09.024_bb0085) 2016; 569–570 Shi (10.1016/j.envint.2018.09.024_bb0360) 2016; 124 Liu (10.1016/j.envint.2018.09.024_bb0255) 2017; 227 Braathen (10.1016/j.envint.2018.09.024_bb0025) 2010 Yin (10.1016/j.envint.2018.09.024_bb0455) 2017; 226 NBSC (National Bureau of Statistics of China) (10.1016/j.envint.2018.09.024_bb2050) 2014 Sun (10.1016/j.envint.2018.09.024_bb0380) 2014; 119 Zhao (10.1016/j.envint.2018.09.024_bb0490) 2016; 23 Tian (10.1016/j.envint.2018.09.024_bb0390) 2017; 12 Chen (10.1016/j.envint.2018.09.024_bb0055) 2017; 221 Guo (10.1016/j.envint.2018.09.024_bb0125) 2010; 44 Brauer (10.1016/j.envint.2018.09.024_bb0030) 2015; 50 Lin (10.1016/j.envint.2018.09.024_bb0245) 2017; 161 Guan (10.1016/j.envint.2018.09.024_bb0120) 2016; 388 OSPC (Office for the Sixth Population Census of each province/municipality) (10.1016/j.envint.2018.09.024_bb2045) 2012 Zhang (10.1016/j.envint.2018.09.024_bb0480) 2017; 68 Menon (10.1016/j.envint.2018.09.024_bb2025) 2018; 68 Feng (10.1016/j.envint.2018.09.024_bb0090) 2017; 14 Hammitt (10.1016/j.envint.2018.09.024_bb0130) 2011; 2 Lanzi (10.1016/j.envint.2018.09.024_bb0200) 2018 Chowdhury (10.1016/j.envint.2018.09.024_bb0060) 2016; 91 Apte (10.1016/j.envint.2018.09.024_bb0015) 2015; 49 Lu (10.1016/j.envint.2018.09.024_bb0275) 2017; 98 Burnett (10.1016/j.envint.2018.09.024_bb0035) 2014; 122 Wang (10.1016/j.envint.2018.09.024_bb0405) 2006; 40 Zhang (10.1016/j.envint.2018.09.024_bb0475) 2010; 38 Pascal (10.1016/j.envint.2018.09.024_bb0325) 2013; 449 Qiu (10.1016/j.envint.2018.09.024_bb2005) 2013; 64 Chen (10.1016/j.envint.2018.09.024_bb0050) 2017; 168 Liu (10.1016/j.envint.2018.09.024_bb0265) 2017; 584–585 Xie (10.1016/j.envint.2018.09.024_bb0435) 2016; 97 Yin (10.1016/j.envint.2018.09.024_bb0460) 2017; 125 Liu (10.1016/j.envint.2018.09.024_bb0260) 2017; 98 OECD (10.1016/j.envint.2018.09.024_bb0320) 2016 Lim (10.1016/j.envint.2018.09.024_bb0230) 2012; 380 OECD (10.1016/j.envint.2018.09.024_bb0310) 2012 Korek (10.1016/j.envint.2018.09.024_bb0195) 2015; 25 Fu (10.1016/j.envint.2018.09.024_bb2040) 2015; 5 Maji (10.1016/j.envint.2018.09.024_bb2015) 2017; 24 Matus (10.1016/j.envint.2018.09.024_bb0285) 2012; 22 Zheng (10.1016/j.envint.2018.09.024_bb0505) 2015; 15 Evans (10.1016/j.envint.2018.09.024_bb0075) 2013; 120 Gao (10.1016/j.envint.2018.09.024_bb0105) 2015; 8 van Donkelaar (10.1016/j.envint.2018.09.024_bb0400) 2015; 123 Ko (10.1016/j.envint.2018.09.024_bb2010) 2007; 37 WHO (10.1016/j.envint.2018.09.024_bb0415) 2006 Zhao (10.1016/j.envint.2018.09.024_bb0500) 2017; 8 Lin (10.1016/j.envint.2018.09.024_bb0235) 2016; 96 Cai (10.1016/j.envint.2018.09.024_bb0040) 2017; 580 van Donkelaar (10.1016/j.envint.2018.09.024_bb2020) 2010; 118 Hou (10.1016/j.envint.2018.09.024_bb0160) 2010; 408 Hoffmann (10.1016/j.envint.2018.09.024_bb0150) 2012; 75 Wang (10.1016/j.envint.2018.09.024_bb0410) 2018; 110 Pope (10.1016/j.envint.2018.09.024_bb0335) 2011; 119 OECD (10.1016/j.envint.2018.09.024_bb0315) 2014 UN (United Nations) (10.1016/j.envint.2018.09.024_bb0395) 2017 Clean Air Asia (10.1016/j.envint.2018.09.024_bb0065) Giannadaki (10.1016/j.envint.2018.09.024_bb0115) 2018; 622–623 Pope (10.1016/j.envint.2018.09.024_bb0340) 2018; 122 World Bank (10.1016/j.envint.2018.09.024_bb0425) 2017 Li (10.1016/j.envint.2018.09.024_bb0225) 2018; 112 He (10.1016/j.envint.2018.09.024_bb0135) 2017; 223 Zhao (10.1016/j.envint.2018.09.024_bb0495) 2017 Xue (10.1016/j.envint.2018.09.024_bb0450) 2018; 235 Zhou (10.1016/j.envint.2018.09.024_bb0515) 2014; 34 WHO (10.1016/j.envint.2018.09.024_bb0420) 2016 Xie (10.1016/j.envint.2018.09.024_bb0440) 2016; 50 Abajobir (10.1016/j.envint.2018.09.024_bb0005) 2017; 390 State Council (10.1016/j.envint.2018.09.024_bb0375) Rohde (10.1016/j.envint.2018.09.024_bb0355) 2015; 10 Huang (10.1016/j.envint.2018.09.024_bb0170) 2012; 15 Héroux (10.1016/j.envint.2018.09.024_bb0140) 2015; 60 Zeng (10.1016/j.envint.2018.09.024_bb0470) 2015; 1 NBSC (10.1016/j.envint.2018.09.024_bb0305) 2017 Fang (10.1016/j.envint.2018.09.024_bb0080) 2013; 13 |
| References_xml | – volume: 91 start-page: 283 year: 2016 end-page: 290 ident: bb0060 article-title: Cause-specific premature death from ambient PM2.5exposure in India: estimate adjusted for baseline mortality publication-title: Environ. Int. – year: 2017 ident: bb0305 article-title: China Statistical Yearbook 2017 – volume: 380 start-page: 2224 year: 2012 end-page: 2260 ident: bb0230 article-title: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 publication-title: Lancet – volume: 118 start-page: 847 year: 2010 end-page: 855 ident: bb2020 article-title: Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application publication-title: Environ. Health Perspect. – year: 2016 ident: bb0420 article-title: Ambient Air Pollution: A Global Assessment of Exposure and Burden of Disease – volume: 227 start-page: 334 year: 2017 end-page: 347 ident: bb0370 article-title: Air pollution in China: status and spatiotemporal variations publication-title: Environ. Pollut. – volume: 68 start-page: 415 year: 2018 end-page: 429 ident: bb2025 article-title: Personal exposure to fine particulate matter concentrations in central business district of a tropical coastal city publication-title: J. Air Waste Manage. Assoc. – volume: 120 start-page: 33 year: 2013 end-page: 42 ident: bb0075 article-title: Estimates of global mortality attributable to particulate air pollution using satellite imagery publication-title: Environ. Res. – volume: 60 start-page: 619 year: 2015 end-page: 627 ident: bb0140 article-title: Quantifying the health impacts of ambient air pollutants: recommendations of a WHO/Europe project publication-title: Int. J. Public Health – volume: 98 start-page: 160 year: 2017 end-page: 170 ident: bb0275 article-title: Assessment of health burden caused by particulate matter in southern China using high-resolution satellite observation publication-title: Environ. Int. – volume: 1 start-page: 127 year: 2015 end-page: 133 ident: bb0470 article-title: Behavioral choice and willingness to pay for reducing PM2.5 health risk – tanking Beijing residents as an example publication-title: China Popul. Resour. Environ. – volume: 173 start-page: 53 year: 2018 end-page: 61 ident: bb0270 article-title: Long-term mortality benefits of air quality improvement during the twelfth five-year-plan period in 31 provincial capital cities of China publication-title: Atmos. Environ. – year: 2016 ident: bb0300 article-title: China Statistical Yearbook 2016 – volume: 390 start-page: 1345 year: 2017 end-page: 1422 ident: bb0100 article-title: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 publication-title: Lancet – volume: 97 start-page: 180 year: 2016 end-page: 186 ident: bb0435 article-title: Long-term trend and spatial pattern of PM2.5 induced premature mortality in China publication-title: Environ. Int. – year: 2018 ident: bb0200 article-title: The sectoral and regional economic consequences of outdoor air pollution to 2060 publication-title: Energy Econ. – volume: 125 year: 2017 ident: bb0460 article-title: Long-term fine particulate matter exposure and nonaccidental and cause-specific mortality in a large national cohort of Chinese men publication-title: Environ. Health Perspect. – volume: 5 year: 2016 ident: bb0220 article-title: Economic evaluation of the air pollution effect on public health in China's 74 cities publication-title: Springerplus – volume: 569–570 start-page: 1545 year: 2016 end-page: 1552 ident: bb0085 article-title: Mortality effects assessment of ambient PM 2.5 pollution in the 74 leading cities of China publication-title: Sci. Total Environ. – volume: 119 start-page: 4380 year: 2014 end-page: 4398 ident: bb0380 article-title: Investigation of the sources and evolution processes of severe haze pollution in Beijing in January 2013 publication-title: J. Geophys. Res. Atmos. – volume: 390 start-page: 1151 year: 2017 end-page: 1210 ident: bb0005 article-title: Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016 publication-title: Lancet – volume: 13 start-page: 7023 year: 2013 end-page: 7037 ident: bb0205 article-title: Model calculated global, regional and megacity premature mortality due to air pollution publication-title: Atmos. Chem. Phys. – year: 2012 ident: bb2045 article-title: Tabulation on the 2010 Population Census of Each Province/Municipality – year: 2010 ident: bb0025 article-title: Valuing Lives Saved From Environmental, Transport and Health Policies: A Meta-Analysis of Stated Preference Studies – volume: 68 start-page: 478 year: 2017 end-page: 489 ident: bb0480 article-title: Socioeconomic burden of air pollution in China: province-level analysis based on energy economic model publication-title: Energy Econ. – volume: 15 start-page: 38 year: 2012 end-page: 47 ident: bb0170 article-title: Valuing the health risks of particulate air pollution in the Pearl River Delta, China publication-title: Environ. Sci. Pol. – volume: 22 start-page: 55 year: 2012 end-page: 66 ident: bb0285 article-title: Health damages from air pollution in China publication-title: Glob. Environ. Chang. – volume: 29 start-page: 343 year: 2011 end-page: 349 ident: bb0430 article-title: Values and limitations of statistical models publication-title: Res. Soc. Stratif. Mobil. – volume: 124 start-page: 46 year: 2016 end-page: 52 ident: bb0360 article-title: Low-concentration PM2.5 and mortality: estimating acute and chronic effects in a population-based study. Environ publication-title: Health Perspect. – volume: 235 start-page: 497 year: 2018 end-page: 504 ident: bb0450 article-title: Associating ambient exposure to fine particles and human fertility rates in China publication-title: Environ. Pollut. – volume: 34 start-page: 683 year: 2014 end-page: 697 ident: bb0515 article-title: Major factors influencing the health impacts from controlling air pollutants with nonlinear chemistry: an application to China publication-title: Risk Anal. – volume: 8 start-page: 66438 year: 2017 end-page: 66448 ident: bb0500 article-title: Association between air pollution and cardiovascular mortality in China: a systematic review and meta-analysis publication-title: Oncotarget – volume: 8 start-page: 697 year: 2015 end-page: 700 ident: bb0105 article-title: Evaluation of atmospheric PM2.5 health economics loss based on willingness to pay publication-title: J. Environ. Health – volume: 56 start-page: 102 year: 2017 end-page: 113 ident: bb2035 article-title: An economic assessment of the health effects and crop yield losses caused by air pollution in mainland China publication-title: J. Environ. Sci. – volume: 622–623 start-page: 1304 year: 2018 end-page: 1316 ident: bb0115 article-title: Estimating health and economic benefits of reductions in air pollution from agriculture publication-title: Sci. Total Environ. – volume: 49 start-page: 8057 year: 2015 end-page: 8066 ident: bb0015 article-title: Addressing global mortality from ambient PM publication-title: Environ. Sci. Technol. – volume: 449 start-page: 390 year: 2013 end-page: 400 ident: bb0325 article-title: Assessing the public health impacts of urban air pollution in 25 European cities: results of the Aphekom project publication-title: Sci. Total Environ. – volume: 226 start-page: 356 year: 2017 end-page: 369 ident: bb0455 article-title: External costs of PM2.5 pollution in Beijing, China: uncertainty analysis of multiple health impacts and costs publication-title: Environ. Pollut. – volume: 64 start-page: 296 year: 2013 end-page: 302 ident: bb2005 article-title: Differential effects of fine and coarse particles on daily emergency cardiovascular hospitalizations in Hong Kong publication-title: Atmos. Environ. – volume: 122 year: 2014 ident: bb0035 article-title: An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure publication-title: Environ. Health Perspect. – volume: 2 start-page: 99 year: 2009 end-page: 110 ident: bb0175 article-title: Methodological considerations in developing local-scale health impact assessments: balancing national, regional, and local data publication-title: Air Qual. Atmos. Health – volume: 5 year: 2015 ident: bb2040 article-title: An ecological analysis of PM 2.5 concentrations and lung cancer mortality rates in China publication-title: BMJ Open – volume: 389 start-page: 1907 year: 2017 end-page: 1918 ident: bb0070 article-title: Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015 publication-title: Lancet – volume: 168 start-page: 23 year: 2017 end-page: 35 ident: bb0050 article-title: Spatial variation of multiple air pollutants and their potential contributions to all-cause, respiratory, and cardiovascular mortality across China in 2015–2016 publication-title: Atmos. Environ. – volume: 112 start-page: 10 year: 2018 end-page: 22 ident: bb0145 article-title: Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days publication-title: Environ. Int. – volume: 580 start-page: 197 year: 2017 end-page: 209 ident: bb0040 article-title: The impact of the “air pollution prevention and control action plan” on PM 2.5 concentrations in Jing-Jin-Ji region during 2012–2020 publication-title: Sci. Total Environ. – volume: 96 start-page: 91 year: 2016 end-page: 97 ident: bb0235 article-title: Mortality burden of ambient fine particulate air pollution in six Chinese cities: results from the Pearl River Delta study publication-title: Environ. Int. – start-page: 1 year: 2017 end-page: 23 ident: bb0495 article-title: Effects of atmospheric transport and trade on air pollution mortality in China publication-title: Atmos. Chem. Phys. Discuss. – volume: 10 year: 2015 ident: bb0355 article-title: Air pollution in China: mapping of concentrations and sources publication-title: PLoS One – volume: 612 start-page: 683 year: 2018 end-page: 693 ident: bb0280 article-title: Estimating premature mortality attributable to PM 2.5 exposure and benefit of air pollution control policies in China for 2020 publication-title: Sci. Total Environ. – volume: 23 start-page: 121 year: 2001 end-page: 134 ident: bb0330 article-title: The value of a statistical life in transport: findings from a new contingent valuation study in Sweden publication-title: J. Risk Uncertain. – volume: 408 start-page: 4026 year: 2010 end-page: 4032 ident: bb0160 article-title: An evaluation of resident exposure to respirable particulate matter and health economic loss in Beijing during Beijing 2008 Olympic Games publication-title: Sci. Total Environ. – volume: 214 start-page: 17 year: 2016 end-page: 25 ident: bb0215 article-title: Health benefits from improved outdoor air quality and intervention in China publication-title: Environ. Pollut. – year: 2016 ident: bb2030 article-title: Burden of Disease Attributable to Coal-Burning and Other Air Pollution Sources in China – volume: 123 start-page: 135 year: 2015 end-page: 143 ident: bb0400 article-title: Use of satellite observations for long-term exposure assessment of global concentrations of fine particulate matter publication-title: Environ. Health Perspect. – volume: 12 year: 2017 ident: bb0510 article-title: Air quality improvements and health benefits from China's clean air action since 2013 publication-title: Environ. Res. Lett. – volume: 23 start-page: 11716 year: 2016 end-page: 11728 ident: bb0490 article-title: Economic evaluation of health losses from air pollution in Beijing, China publication-title: Environ. Sci. Pollut. Res. – volume: 75 start-page: 1292 year: 2012 end-page: 1302 ident: bb0150 article-title: Annual cost of illness and quality-adjusted life year losses in the United States due to 14 foodborne pathogens publication-title: J. Food Prot. – volume: 568 start-page: 1253 year: 2016 end-page: 1262 ident: bb0250 article-title: Estimating adult mortality attributable to PM 2.5 exposure in China with assimilated PM 2.5 concentrations based on a ground monitoring network publication-title: Sci. Total Environ. – volume: 50 start-page: 4836 year: 2016 end-page: 4843 ident: bb0440 article-title: Economic impacts from PM 2.5 pollution-related health effects in China: a provincial-level analysis publication-title: Environ. Sci. Technol. – volume: 10 year: 2015 ident: bb0185 article-title: To what extent can China's near-term air pollution control policy protect air quality and human health? A case study of the Pearl River Delta region publication-title: Environ. Res. Lett. – volume: 24 start-page: 11559 year: 2017 end-page: 11572 ident: bb2015 article-title: Burden of disease attributed to ambient PM2.5 and PM10 exposure in 190 cities in China publication-title: Environ. Sci. Pollut. Res. – year: 2017 ident: bb0395 article-title: World Population Prospects: The 2017 Revision – volume: 44 start-page: 3369 year: 2010 end-page: 3377 ident: bb0125 article-title: Estimation of economic costs of particulate air pollution from road transport in China publication-title: Atmos. Environ. – volume: 525 start-page: 367 year: 2015 end-page: 371 ident: bb0210 article-title: The contribution of outdoor air pollution sources to premature mortality on a global scale publication-title: Nature – start-page: 1 year: 2017 end-page: 9 ident: bb0095 article-title: The January 2013 Beijing “Airpocalypse” and its acute effects on emergency and outpatient visits at a Beijing hospital publication-title: Air Qual. Atmos. Health – volume: 227 start-page: 15 year: 2017 end-page: 23 ident: bb0255 article-title: The nexus between urbanization and PM 2.5 related mortality in China publication-title: Environ. Pollut. – volume: 15 start-page: 5715 year: 2015 end-page: 5725 ident: bb0505 article-title: Long-term (2001–2012) concentrations of fine particulate matter (PM2.5) and the impact on human health in Beijing, China publication-title: Atmos. Chem. Phys. – year: 2014 ident: bb2050 article-title: China Statistical Yearbook – year: 2012 ident: bb0310 article-title: Mortality Risk Valuation in Environment, Health and Transport Policies – volume: 14 start-page: 1321 year: 2017 ident: bb0090 article-title: Spatiotemporal changes in fine particulate matter pollution and the associated mortality burden in China between 2015 and 2016 publication-title: Int. J. Environ. Res. Public Health – volume: 51 start-page: 9950 year: 2017 end-page: 9959 ident: bb0165 article-title: Premature mortality attributable to particulate matter in China: source contributions and responses to reductions publication-title: Environ. Sci. Technol. – year: 2016 ident: bb0065 article-title: China Air 2016: Air Pollution Prevention and Control Progress in Chines Cities – volume: 110 start-page: 105 year: 2018 end-page: 112 ident: bb0410 article-title: A county-level estimate of PM2.5related chronic mortality risk in China based on multi-model exposure data publication-title: Environ. Int. – year: 2016 ident: bb0180 article-title: Poor Air Quality Kills 5.5 Million Worldwide Annually – year: 2015 ident: bb2055 article-title: China statistical yearbook 2015 – volume: 382 start-page: 1959 year: 2013 end-page: 1960 ident: bb0045 article-title: China tackles the health effects of air pollution publication-title: Lancet – volume: 37 start-page: 1312 year: 2007 end-page: 1319 ident: bb2010 article-title: Effects of air pollution on asthma hospitalization rates in different age groups in Hong Kong publication-title: Clin. Exp. Allergy – volume: 15 year: 2016 ident: bb0110 article-title: Implementing the US air quality standard for PM2.5 worldwide can prevent millions of premature deaths per year publication-title: Environ. Health – volume: 221 start-page: 311 year: 2017 end-page: 317 ident: bb0055 article-title: Assessment of population exposure to PM 2.5 for mortality in China and its public health benefit based on BenMAP publication-title: Environ. Pollut. – year: 2017 ident: bb0350 article-title: R: A Language and Environment for Statistical Computing – volume: 12 year: 2017 ident: bb0390 article-title: Addressing the source contribution of PM 2.5 on mortality: an evaluation study of its impacts on excess mortality in China publication-title: Environ. Res. Lett. – volume: 73 start-page: 235 year: 2014 end-page: 242 ident: bb0385 article-title: Health benefits of improving air quality in Taiyuan, China publication-title: Environ. Int. – volume: 25 start-page: 517 year: 2015 end-page: 523 ident: bb0195 article-title: Traffic-related air pollution exposure and incidence of stroke in four cohorts from Stockholm publication-title: J. Expo. Sci. Environ. Epidemiol. – volume: 2 start-page: 1 year: 2011 end-page: 29 ident: bb0130 article-title: The income elasticity of the value per statistical life: transferring estimates between high and low income populations publication-title: J. Benefit-Cost Anal. – volume: 38 start-page: 491 year: 2010 end-page: 502 ident: bb0475 article-title: The assessment of health damage caused by air pollution and its implication for policy making in Taiyuan, Shanxi, China publication-title: Energy Policy – volume: 223 start-page: 575 year: 2017 end-page: 586 ident: bb0365 article-title: Health burden attributable to ambient PM2.5 in China publication-title: Environ. Pollut. – volume: 20 start-page: 6433 year: 2013 end-page: 6444 ident: bb2000 article-title: The acute effects of fine particles on respiratory mortality and morbidity in Beijing, 2004–2009 publication-title: Environ. Sci. Pollut. Res. – year: 2013 ident: bb0375 article-title: The Notice on the Action Plan of the Air Pollution Prevention and Control from the State Council – year: 2016 ident: bb0320 article-title: The Economic Consequences of Outdoor Air Pollution – volume: 584–585 start-page: 307 year: 2017 end-page: 317 ident: bb0265 article-title: Sources and spatial distribution of particulate polycyclic aromatic hydrocarbons in Shanghai, China publication-title: Sci. Total Environ. – volume: 112 start-page: 1 year: 2018 end-page: 9 ident: bb0225 article-title: Long-term projections of temperature-related mortality risks for ischemic stroke, hemorrhagic stroke, and acute ischemic heart disease under changing climate in Beijing, China publication-title: Environ. Int. – volume: 223 start-page: 484 year: 2017 end-page: 496 ident: bb0135 article-title: Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities publication-title: Environ. Pollut. – volume: 499 start-page: 125 year: 2014 end-page: 132 ident: bb0190 article-title: Particulate matter modifies the association between airborne pollen and daily medical consultations for pollinosis in Tokyo publication-title: Sci. Total Environ. – year: 2006 ident: bb0415 article-title: WHO air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide publication-title: Global Update 2005. Summary of Risk Assessment – volume: 388 start-page: 1939 year: 2016 end-page: 1951 ident: bb0120 article-title: Impact of air pollution on the burden of chronic respiratory diseases in China: time for urgent action publication-title: Lancet – volume: 13 start-page: 1377 year: 2013 end-page: 1394 ident: bb0080 article-title: Air pollution and associated human mortality: the role of air pollutant emissions, climate change and methane concentration increases from the preindustrial period to present publication-title: Atmos. Chem. Phys. – volume: 98 start-page: 75 year: 2017 end-page: 81 ident: bb0260 article-title: Spatial and temporal trends in the mortality burden of air pollution in China: 2004–2012 publication-title: Environ. Int. – volume: 122 start-page: 1645 year: 2018 end-page: 1647 ident: bb0340 article-title: Cardiovascular disease and fine particulate matter publication-title: Circ. Res. – year: 2017 ident: bb0425 article-title: The Cost of Air Pollution: Strengthening the Economic Case for Action – volume: 161 start-page: 27 year: 2017 end-page: 33 ident: bb0245 article-title: Hourly peak concentration measuring the PM2.5-mortality association: results from six cities in the Pearl River Delta study. Atmos publication-title: Environment – year: 2014 ident: bb0315 article-title: The Cost of Air Pollution: Health Impacts of Road Transport – volume: 40 start-page: 1706 year: 2006 end-page: 1721 ident: bb0405 article-title: Evaluating impacts of air pollution in China on public health: implications for future air pollution and energy policies publication-title: Atmos. Environ. – volume: 50 start-page: 79 year: 2015 end-page: 88 ident: bb0030 article-title: Ambient air pollution exposure estimation for the global burden of disease 2013 publication-title: Environ. Sci. Technol. – volume: 119 start-page: 1616 year: 2011 end-page: 1621 ident: bb0335 article-title: Lung cancer and cardiovascular disease mortality associated with ambient air pollution and cigarette smoke: shape of the exposure-response relationships publication-title: Environ. Health Perspect. – volume: 227 start-page: 334 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0370 article-title: Air pollution in China: status and spatiotemporal variations publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.04.075 – volume: 1 start-page: 127 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0470 article-title: Behavioral choice and willingness to pay for reducing PM2.5 health risk – tanking Beijing residents as an example publication-title: China Popul. Resour. Environ. – volume: 125 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0460 article-title: Long-term fine particulate matter exposure and nonaccidental and cause-specific mortality in a large national cohort of Chinese men publication-title: Environ. Health Perspect. doi: 10.1289/EHP1673 – volume: 64 start-page: 296 year: 2013 ident: 10.1016/j.envint.2018.09.024_bb2005 article-title: Differential effects of fine and coarse particles on daily emergency cardiovascular hospitalizations in Hong Kong publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2012.09.060 – year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0320 – year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0200 article-title: The sectoral and regional economic consequences of outdoor air pollution to 2060 publication-title: Energy Econ. doi: 10.1016/j.eneco.2018.01.014 – volume: 612 start-page: 683 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0280 article-title: Estimating premature mortality attributable to PM 2.5 exposure and benefit of air pollution control policies in China for 2020 publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2017.08.254 – volume: 119 start-page: 4380 year: 2014 ident: 10.1016/j.envint.2018.09.024_bb0380 article-title: Investigation of the sources and evolution processes of severe haze pollution in Beijing in January 2013 publication-title: J. Geophys. Res. Atmos. doi: 10.1002/2014JD021641 – volume: 123 start-page: 135 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0400 article-title: Use of satellite observations for long-term exposure assessment of global concentrations of fine particulate matter publication-title: Environ. Health Perspect. doi: 10.1289/ehp.1408646 – ident: 10.1016/j.envint.2018.09.024_bb0375 – year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0395 doi: 10.18356/b19523c6-en – volume: 5 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb2040 article-title: An ecological analysis of PM 2.5 concentrations and lung cancer mortality rates in China publication-title: BMJ Open doi: 10.1136/bmjopen-2015-009452 – volume: 56 start-page: 102 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb2035 article-title: An economic assessment of the health effects and crop yield losses caused by air pollution in mainland China publication-title: J. Environ. Sci. doi: 10.1016/j.jes.2016.08.024 – volume: 40 start-page: 1706 year: 2006 ident: 10.1016/j.envint.2018.09.024_bb0405 article-title: Evaluating impacts of air pollution in China on public health: implications for future air pollution and energy policies publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2005.10.066 – volume: 49 start-page: 8057 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0015 article-title: Addressing global mortality from ambient PM2.5 publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.5b01236 – year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0300 – volume: 60 start-page: 619 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0140 article-title: Quantifying the health impacts of ambient air pollutants: recommendations of a WHO/Europe project publication-title: Int. J. Public Health doi: 10.1007/s00038-015-0690-y – volume: 408 start-page: 4026 year: 2010 ident: 10.1016/j.envint.2018.09.024_bb0160 article-title: An evaluation of resident exposure to respirable particulate matter and health economic loss in Beijing during Beijing 2008 Olympic Games publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2009.12.030 – volume: 15 issue: 88 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0110 article-title: Implementing the US air quality standard for PM2.5 worldwide can prevent millions of premature deaths per year publication-title: Environ. Health – year: 2015 ident: 10.1016/j.envint.2018.09.024_bb2055 – volume: 173 start-page: 53 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0270 article-title: Long-term mortality benefits of air quality improvement during the twelfth five-year-plan period in 31 provincial capital cities of China publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2017.10.054 – volume: 110 start-page: 105 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0410 article-title: A county-level estimate of PM2.5related chronic mortality risk in China based on multi-model exposure data publication-title: Environ. Int. doi: 10.1016/j.envint.2017.10.015 – volume: 161 start-page: 27 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0245 article-title: Hourly peak concentration measuring the PM2.5-mortality association: results from six cities in the Pearl River Delta study. Atmos publication-title: Environment – volume: 580 start-page: 197 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0040 article-title: The impact of the “air pollution prevention and control action plan” on PM 2.5 concentrations in Jing-Jin-Ji region during 2012–2020 publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.11.188 – year: 2014 ident: 10.1016/j.envint.2018.09.024_bb2050 – volume: 38 start-page: 491 year: 2010 ident: 10.1016/j.envint.2018.09.024_bb0475 article-title: The assessment of health damage caused by air pollution and its implication for policy making in Taiyuan, Shanxi, China publication-title: Energy Policy doi: 10.1016/j.enpol.2009.09.039 – volume: 20 start-page: 6433 year: 2013 ident: 10.1016/j.envint.2018.09.024_bb2000 article-title: The acute effects of fine particles on respiratory mortality and morbidity in Beijing, 2004–2009 publication-title: Environ. Sci. Pollut. Res. doi: 10.1007/s11356-013-1688-8 – year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0350 – volume: 120 start-page: 33 year: 2013 ident: 10.1016/j.envint.2018.09.024_bb0075 article-title: Estimates of global mortality attributable to particulate air pollution using satellite imagery publication-title: Environ. Res. doi: 10.1016/j.envres.2012.08.005 – volume: 14 start-page: 1321 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0090 article-title: Spatiotemporal changes in fine particulate matter pollution and the associated mortality burden in China between 2015 and 2016 publication-title: Int. J. Environ. Res. Public Health doi: 10.3390/ijerph14111321 – volume: 37 start-page: 1312 year: 2007 ident: 10.1016/j.envint.2018.09.024_bb2010 article-title: Effects of air pollution on asthma hospitalization rates in different age groups in Hong Kong publication-title: Clin. Exp. Allergy doi: 10.1111/j.1365-2222.2007.02791.x – volume: 569–570 start-page: 1545 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0085 article-title: Mortality effects assessment of ambient PM 2.5 pollution in the 74 leading cities of China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.06.248 – volume: 51 start-page: 9950 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0165 article-title: Premature mortality attributable to particulate matter in China: source contributions and responses to reductions publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.7b03193 – year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0420 – volume: 389 start-page: 1907 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0070 article-title: Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015 publication-title: Lancet doi: 10.1016/S0140-6736(17)30505-6 – volume: 23 start-page: 121 year: 2001 ident: 10.1016/j.envint.2018.09.024_bb0330 article-title: The value of a statistical life in transport: findings from a new contingent valuation study in Sweden publication-title: J. Risk Uncertain. doi: 10.1023/A:1011180018244 – volume: 221 start-page: 311 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0055 article-title: Assessment of population exposure to PM 2.5 for mortality in China and its public health benefit based on BenMAP publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2016.11.080 – volume: 98 start-page: 75 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0260 article-title: Spatial and temporal trends in the mortality burden of air pollution in China: 2004–2012 publication-title: Environ. Int. doi: 10.1016/j.envint.2016.10.003 – year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0180 – volume: 2 start-page: 99 year: 2009 ident: 10.1016/j.envint.2018.09.024_bb0175 article-title: Methodological considerations in developing local-scale health impact assessments: balancing national, regional, and local data publication-title: Air Qual. Atmos. Health doi: 10.1007/s11869-009-0037-z – volume: 73 start-page: 235 year: 2014 ident: 10.1016/j.envint.2018.09.024_bb0385 article-title: Health benefits of improving air quality in Taiyuan, China publication-title: Environ. Int. doi: 10.1016/j.envint.2014.07.016 – volume: 25 start-page: 517 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0195 article-title: Traffic-related air pollution exposure and incidence of stroke in four cohorts from Stockholm publication-title: J. Expo. Sci. Environ. Epidemiol. doi: 10.1038/jes.2015.22 – year: 2012 ident: 10.1016/j.envint.2018.09.024_bb2045 – year: 2006 ident: 10.1016/j.envint.2018.09.024_bb0415 article-title: WHO air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide – volume: 223 start-page: 484 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0135 article-title: Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.01.050 – volume: 449 start-page: 390 year: 2013 ident: 10.1016/j.envint.2018.09.024_bb0325 article-title: Assessing the public health impacts of urban air pollution in 25 European cities: results of the Aphekom project publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2013.01.077 – volume: 119 start-page: 1616 year: 2011 ident: 10.1016/j.envint.2018.09.024_bb0335 article-title: Lung cancer and cardiovascular disease mortality associated with ambient air pollution and cigarette smoke: shape of the exposure-response relationships publication-title: Environ. Health Perspect. doi: 10.1289/ehp.1103639 – volume: 622–623 start-page: 1304 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0115 article-title: Estimating health and economic benefits of reductions in air pollution from agriculture publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2017.12.064 – volume: 15 start-page: 38 year: 2012 ident: 10.1016/j.envint.2018.09.024_bb0170 article-title: Valuing the health risks of particulate air pollution in the Pearl River Delta, China publication-title: Environ. Sci. Pol. doi: 10.1016/j.envsci.2011.09.007 – volume: 382 start-page: 1959 year: 2013 ident: 10.1016/j.envint.2018.09.024_bb0045 article-title: China tackles the health effects of air pollution publication-title: Lancet doi: 10.1016/S0140-6736(13)62064-4 – ident: 10.1016/j.envint.2018.09.024_bb0065 – year: 2012 ident: 10.1016/j.envint.2018.09.024_bb0310 – volume: 5 issue: 402 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0220 article-title: Economic evaluation of the air pollution effect on public health in China's 74 cities publication-title: Springerplus – volume: 10 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0355 article-title: Air pollution in China: mapping of concentrations and sources publication-title: PLoS One doi: 10.1371/journal.pone.0135749 – volume: 23 start-page: 11716 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0490 article-title: Economic evaluation of health losses from air pollution in Beijing, China publication-title: Environ. Sci. Pollut. Res. doi: 10.1007/s11356-016-6270-8 – volume: 44 start-page: 3369 year: 2010 ident: 10.1016/j.envint.2018.09.024_bb0125 article-title: Estimation of economic costs of particulate air pollution from road transport in China publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2010.06.018 – year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0305 – volume: 568 start-page: 1253 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0250 article-title: Estimating adult mortality attributable to PM 2.5 exposure in China with assimilated PM 2.5 concentrations based on a ground monitoring network publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.05.165 – volume: 50 start-page: 79 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0030 article-title: Ambient air pollution exposure estimation for the global burden of disease 2013 publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.5b03709 – volume: 96 start-page: 91 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0235 article-title: Mortality burden of ambient fine particulate air pollution in six Chinese cities: results from the Pearl River Delta study publication-title: Environ. Int. doi: 10.1016/j.envint.2016.09.007 – volume: 380 start-page: 2224 year: 2012 ident: 10.1016/j.envint.2018.09.024_bb0230 article-title: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 publication-title: Lancet doi: 10.1016/S0140-6736(12)61766-8 – volume: 68 start-page: 415 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb2025 article-title: Personal exposure to fine particulate matter concentrations in central business district of a tropical coastal city publication-title: J. Air Waste Manage. Assoc. doi: 10.1080/10962247.2017.1407837 – volume: 584–585 start-page: 307 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0265 article-title: Sources and spatial distribution of particulate polycyclic aromatic hydrocarbons in Shanghai, China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.12.134 – volume: 525 start-page: 367 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0210 article-title: The contribution of outdoor air pollution sources to premature mortality on a global scale publication-title: Nature doi: 10.1038/nature15371 – volume: 12 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0510 article-title: Air quality improvements and health benefits from China's clean air action since 2013 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/aa8a32 – volume: 91 start-page: 283 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0060 article-title: Cause-specific premature death from ambient PM2.5exposure in India: estimate adjusted for baseline mortality publication-title: Environ. Int. doi: 10.1016/j.envint.2016.03.004 – volume: 226 start-page: 356 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0455 article-title: External costs of PM2.5 pollution in Beijing, China: uncertainty analysis of multiple health impacts and costs publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.02.029 – volume: 124 start-page: 46 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0360 article-title: Low-concentration PM2.5 and mortality: estimating acute and chronic effects in a population-based study. Environ publication-title: Health Perspect. doi: 10.1289/ehp.1409111 – volume: 168 start-page: 23 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0050 article-title: Spatial variation of multiple air pollutants and their potential contributions to all-cause, respiratory, and cardiovascular mortality across China in 2015–2016 publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2017.09.006 – start-page: 1 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0495 article-title: Effects of atmospheric transport and trade on air pollution mortality in China publication-title: Atmos. Chem. Phys. Discuss. – volume: 50 start-page: 4836 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0440 article-title: Economic impacts from PM 2.5 pollution-related health effects in China: a provincial-level analysis publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.5b05576 – volume: 2 start-page: 1 year: 2011 ident: 10.1016/j.envint.2018.09.024_bb0130 article-title: The income elasticity of the value per statistical life: transferring estimates between high and low income populations publication-title: J. Benefit-Cost Anal. doi: 10.2202/2152-2812.1009 – volume: 8 start-page: 697 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0105 article-title: Evaluation of atmospheric PM2.5 health economics loss based on willingness to pay publication-title: J. Environ. Health – volume: 10 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0185 article-title: To what extent can China's near-term air pollution control policy protect air quality and human health? A case study of the Pearl River Delta region publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/10/10/104006 – year: 2014 ident: 10.1016/j.envint.2018.09.024_bb0315 – volume: 97 start-page: 180 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0435 article-title: Long-term trend and spatial pattern of PM2.5 induced premature mortality in China publication-title: Environ. Int. doi: 10.1016/j.envint.2016.09.003 – volume: 122 start-page: 1645 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0340 article-title: Cardiovascular disease and fine particulate matter publication-title: Circ. Res. doi: 10.1161/CIRCRESAHA.118.312956 – volume: 29 start-page: 343 year: 2011 ident: 10.1016/j.envint.2018.09.024_bb0430 article-title: Values and limitations of statistical models publication-title: Res. Soc. Stratif. Mobil. doi: 10.1016/j.rssm.2011.04.001 – volume: 34 start-page: 683 year: 2014 ident: 10.1016/j.envint.2018.09.024_bb0515 article-title: Major factors influencing the health impacts from controlling air pollutants with nonlinear chemistry: an application to China publication-title: Risk Anal. doi: 10.1111/risa.12106 – year: 2016 ident: 10.1016/j.envint.2018.09.024_bb2030 – volume: 22 start-page: 55 year: 2012 ident: 10.1016/j.envint.2018.09.024_bb0285 article-title: Health damages from air pollution in China publication-title: Glob. Environ. Chang. doi: 10.1016/j.gloenvcha.2011.08.006 – volume: 122 year: 2014 ident: 10.1016/j.envint.2018.09.024_bb0035 article-title: An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure publication-title: Environ. Health Perspect. doi: 10.1289/ehp.1307049 – volume: 15 start-page: 5715 year: 2015 ident: 10.1016/j.envint.2018.09.024_bb0505 article-title: Long-term (2001–2012) concentrations of fine particulate matter (PM2.5) and the impact on human health in Beijing, China publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-15-5715-2015 – volume: 98 start-page: 160 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0275 article-title: Assessment of health burden caused by particulate matter in southern China using high-resolution satellite observation publication-title: Environ. Int. doi: 10.1016/j.envint.2016.11.002 – volume: 214 start-page: 17 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0215 article-title: Health benefits from improved outdoor air quality and intervention in China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2016.03.066 – volume: 112 start-page: 10 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0145 article-title: Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days publication-title: Environ. Int. doi: 10.1016/j.envint.2017.12.001 – volume: 388 start-page: 1939 year: 2016 ident: 10.1016/j.envint.2018.09.024_bb0120 article-title: Impact of air pollution on the burden of chronic respiratory diseases in China: time for urgent action publication-title: Lancet doi: 10.1016/S0140-6736(16)31597-5 – volume: 12 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0390 article-title: Addressing the source contribution of PM 2.5 on mortality: an evaluation study of its impacts on excess mortality in China publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/aa85d4 – volume: 24 start-page: 11559 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb2015 article-title: Burden of disease attributed to ambient PM2.5 and PM10 exposure in 190 cities in China publication-title: Environ. Sci. Pollut. Res. doi: 10.1007/s11356-017-8575-7 – volume: 390 start-page: 1151 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0005 article-title: Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016 publication-title: Lancet doi: 10.1016/S0140-6736(17)32152-9 – volume: 223 start-page: 575 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0365 article-title: Health burden attributable to ambient PM2.5 in China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.01.060 – start-page: 1 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0095 article-title: The January 2013 Beijing “Airpocalypse” and its acute effects on emergency and outpatient visits at a Beijing hospital publication-title: Air Qual. Atmos. Health – volume: 13 start-page: 7023 year: 2013 ident: 10.1016/j.envint.2018.09.024_bb0205 article-title: Model calculated global, regional and megacity premature mortality due to air pollution publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-13-7023-2013 – volume: 390 start-page: 1345 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0100 article-title: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 publication-title: Lancet doi: 10.1016/S0140-6736(17)32366-8 – volume: 13 start-page: 1377 year: 2013 ident: 10.1016/j.envint.2018.09.024_bb0080 article-title: Air pollution and associated human mortality: the role of air pollutant emissions, climate change and methane concentration increases from the preindustrial period to present publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-13-1377-2013 – volume: 8 start-page: 66438 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0500 article-title: Association between air pollution and cardiovascular mortality in China: a systematic review and meta-analysis publication-title: Oncotarget doi: 10.18632/oncotarget.20090 – year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0425 – volume: 112 start-page: 1 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0225 article-title: Long-term projections of temperature-related mortality risks for ischemic stroke, hemorrhagic stroke, and acute ischemic heart disease under changing climate in Beijing, China publication-title: Environ. Int. doi: 10.1016/j.envint.2017.12.006 – volume: 75 start-page: 1292 year: 2012 ident: 10.1016/j.envint.2018.09.024_bb0150 article-title: Annual cost of illness and quality-adjusted life year losses in the United States due to 14 foodborne pathogens publication-title: J. Food Prot. doi: 10.4315/0362-028X.JFP-11-417 – volume: 235 start-page: 497 year: 2018 ident: 10.1016/j.envint.2018.09.024_bb0450 article-title: Associating ambient exposure to fine particles and human fertility rates in China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2018.01.009 – volume: 499 start-page: 125 year: 2014 ident: 10.1016/j.envint.2018.09.024_bb0190 article-title: Particulate matter modifies the association between airborne pollen and daily medical consultations for pollinosis in Tokyo publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2014.08.045 – volume: 118 start-page: 847 year: 2010 ident: 10.1016/j.envint.2018.09.024_bb2020 article-title: Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application publication-title: Environ. Health Perspect. doi: 10.1289/ehp.0901623 – volume: 68 start-page: 478 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0480 article-title: Socioeconomic burden of air pollution in China: province-level analysis based on energy economic model publication-title: Energy Econ. doi: 10.1016/j.eneco.2017.10.013 – volume: 227 start-page: 15 year: 2017 ident: 10.1016/j.envint.2018.09.024_bb0255 article-title: The nexus between urbanization and PM 2.5 related mortality in China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.04.049 – year: 2010 ident: 10.1016/j.envint.2018.09.024_bb0025 |
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| Title | PM2.5-related health and economic loss assessment for 338 Chinese cities |
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