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DC Field | Value | Language |
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dc.contributor.author | Qilong, Cao | - |
dc.contributor.author | Guoqiang, Rui | - |
dc.date.accessioned | 2018-08-23T02:14:12Z | - |
dc.date.available | 2018-08-23T02:14:12Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://lrc.quangbinhuni.edu.vn:8181/dspace/handle/DHQB_123456789/3819 | - |
dc.description.abstract | Abstract Background PM2.5 has become a major component of air pollution in China and has led to a series of health problems. The mortality rate caused by lung cancer has reached the point where it cannot be ignored in China. Air pollution is becoming more and more serious in China, which is increasingly affecting people’s lives and health. Methods Considering the variations in the geographical environment in China, this paper studied the relationship between PM2.5 concentration and lung cancer mortality based on the geographical weighted regression model in 31 provinces in 2004 and 2008, autonomous regions and municipalities of China. Results The results indicated there was a significant positive correlation between PM2.5 concentration and lung cancer mortality (r = 0.0052, P = 0.036). Additionally, the longer the time of exposure to PM2.5 is, the higher morbidity is. Conclusion It is suggested that the Chinese government should launch some environmental policy, especially in those areas with severe PM2.5 pollutions, and keep the citizens away from exposure to PM2.5 pollution in the long term. | en_US |
dc.language.iso | en | en_US |
dc.publisher | BioMed Central | en_US |
dc.subject | Medicine: | en_US |
dc.subject | Public | en_US |
dc.subject | aspects o fmedicine | en_US |
dc.title | Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model | en_US |
Appears in Collections: | Environmental sciences |
Files in This Item:
File | Description | Size | Format | |
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Cao2018_Article_StudyOnPM25PollutionAndTheMort.pdf | 1.32 MB | Adobe PDF | View/Open |
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