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International Journal of Environmental Health Research Volume 27, 2017 - Issue 2
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Articles

Prospective evaluation of respiratory health benefits from reduced exposure to airborne particulate matter

Yanhui HaoDepartment of Occupational and Environmental Health, School of Public Health, Fudan University, Shanghai, China
,
Guanghui ZhangDepartment of Occupational and Environmental Health, School of Public Health, Fudan University, Shanghai, China
,
Bin HanState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
,
Xiaowen XuDepartment of Occupational and Environmental Health, School of Public Health, Fudan University, Shanghai, China
,
Nannan FengDepartment of Occupational and Environmental Health, School of Public Health, Fudan University, Shanghai, China
,
Yong LiDepartment of Occupational and Environmental Health, School of Public Health, Fudan University, Shanghai, China
,
Wei WangDepartment of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, USA
,
Haidong KanDepartment of Occupational and Environmental Health, School of Public Health, Fudan University, Shanghai, China
,
Zhipeng BaiState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
,
Yiliang ZhuDepartment of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, USA
,
William AuDepartment of Environmental Toxicology, Preventive Medicine and MPH Education Center, Shantou University Medical College, Shantou, ChinaCorrespondence[email protected]
&
Zhao-lin XiaDepartment of Occupational and Environmental Health, School of Public Health, Fudan University, Shanghai, ChinaCorrespondence[email protected]
 show all
Pages 126-135 | Received 30 Oct 2016, Accepted 30 Jan 2017, Published online: 16 Feb 2017

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Songjing Chen & Sizhu Wu. (2020) Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender. International Journal of Environmental Health Research 30:4, pages 435-446.
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