Chapter title |
Ambient Air Pollution and Morbidity in Chinese
|
---|---|
Chapter number | 6 |
Book title |
Ambient Air Pollution and Health Impact in China
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-981-10-5657-4_6 |
Pubmed ID | |
Book ISBNs |
978-9-81-105656-7, 978-9-81-105657-4
|
Authors |
Li-Wen Hu, Wayne R. Lawrence, Yimin Liu, Bo-Yi Yang, Xiao-Wen Zeng, Wen Chen, Guang-Hui Dong |
Abstract |
The rapid economic growth in China is coupled with a severe ambient air pollution, which poses a huge threat to human health and the sustainable development of social economy. The rapid urbanization and industrialization over the last three decades have placed China as one of countries with the greatest disease burden in world. Notably, the prevalence rate of chronic noncommunicable diseases (CND), including respiratory diseases, CVD, and stroke, in 2010 reaches 16.9%. The continuous growth of the incidence of CND urgent needs for effective regulatory action for health protection. This study aims to evaluate the impact of rapid urbanization on status of ambient air pollution and associated adverse health effects on the incidence and the burden of CND and risk assessment. Our findings would be greatly significant in the prediction of the risk of ambient air pollution on CND and for evidence-based policy making and risk management in China. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 9 | 17% |
Student > Master | 5 | 10% |
Researcher | 5 | 10% |
Student > Doctoral Student | 2 | 4% |
Student > Postgraduate | 2 | 4% |
Other | 6 | 12% |
Unknown | 23 | 44% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 8 | 15% |
Nursing and Health Professions | 7 | 13% |
Social Sciences | 3 | 6% |
Computer Science | 2 | 4% |
Arts and Humanities | 2 | 4% |
Other | 7 | 13% |
Unknown | 23 | 44% |