Literature DB >> 19725463

Impact of ambient air pollution on public health under various traffic policies in Shanghai, China.

Chang-Hong Chen1, Hai-Dong Kan, Cheng Huang, Li Li, Yun-Hui Zhang, Ren-Jie Chen, Bing-Heng Chen.   

Abstract

OBJECTIVE: To investigate the potential impact of ambient air pollution on public health under various traffic policies in Shanghai.
METHODS: The exposure level of Shanghai residents to air pollution under various planned traffic scenarios was estimated, and the public health impact was assessed using concentration-response functions derived from available epidemiological studies.
RESULTS: Our results showed that ambient air pollution in relation to traffic scenarios had a significant impact on the future health status of Shanghai residents. Compared with the base case scenario, implementation of various traffic scenarios could prevent 759-1574, 1885-2420, and 2277-2650 PM10-related avoidable deaths (mean-value) in 2010, 2015, and 2020, respectively. It could also decrease the incidence of several relevant diseases.
CONCLUSION: Our findings emphasize the need to consider air pollution-related health effects as an important impact of traffic policy in Shanghai.

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Year:  2009        PMID: 19725463     DOI: 10.1016/S0895-3988(09)60047-7

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


  3 in total

1.  Study on the traffic air pollution inside and outside a road tunnel in Shanghai, China.

Authors:  Rui Zhou; Shanshan Wang; Chanzhen Shi; Wenxin Wang; Heng Zhao; Rui Liu; Limin Chen; Bin Zhou
Journal:  PLoS One       Date:  2014-11-11       Impact factor: 3.240

2.  Systematic Literature Review of Health Impact Assessments in Low and Middle-Income Countries.

Authors:  Meelan Thondoo; David Rojas-Rueda; Joyeeta Gupta; Daniel H de Vries; Mark J Nieuwenhuijsen
Journal:  Int J Environ Res Public Health       Date:  2019-06-06       Impact factor: 3.390

3.  How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression.

Authors:  Lu Liu; Kai-Hua Wang; Yidong Xiao
Journal:  Front Public Health       Date:  2021-12-23
  3 in total

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