Volume 18 Issue 1
Feb.  2005
Turn off MathJax
Article Contents
Article Navigation >  Biomedical and Environmental Sciences  > 2005  >  18(1): 1-4

HAI-DONG KAN, BING-HENG CHEN, CHAO-WEI FU, Shun-Zhang Yu, LI-NA MU. Relationship Between Ambient Air Pollution and Daily Mortality of SARS in Beijing[J]. Biomedical and Environmental Sciences, 2005, 18(1): 1-4.
Citation: HAI-DONG KAN, BING-HENG CHEN, CHAO-WEI FU, Shun-Zhang Yu, LI-NA MU. Relationship Between Ambient Air Pollution and Daily Mortality of SARS in Beijing[J]. Biomedical and Environmental Sciences, 2005, 18(1): 1-4.
shu

Relationship Between Ambient Air Pollution and Daily Mortality of SARS in Beijing

  • Department of Environmental Health,School of Public Health,Fudan University,Shanghai 200032,China

  • Department of Epidemiology,School of Public Health,Fudan University,Shanghai 200032,China

  • Institute of Preventive Medicine,School of Public Health,Fudan University,Shanghai 200032,China

Funds:  The current work was funded by Shanghai Municipal Committee of Science and Technology through(03DZ19612 and 03DZ05052)
  • Objective To study the relationship between ambient air pollution and daily mortality of SARS in Beijing. Methods The approach of time-series Poisson regression was used to assess the relationship between daily SARS mortality, ambient air pollution, and other factors from April 25 to May 31, 2003 in Beijing. Results An increase of each 10 μμg/m3 over a 5-day moving average of PM10, SO2 and NO2 corresponded to 1.06 (1.00-1.12), 0.74 (0.48-1.13) and 1.22 (1.01-1.48) relative risks (RRs) of daily SARS mortality, respectively. The relative risks (RRs) values depended largely on the selection of lag days. Conclusion The daily mortality of SARS might be associated with certain air pollutants in Beijing.
  • 加载中
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Get Citation
PDF
XML

Article Metrics

Article views(4911) PDF downloads(227) Cited by()

Proportional views
Related

Relationship Between Ambient Air Pollution and Daily Mortality of SARS in Beijing

  • Department of Environmental Health,School of Public Health,Fudan University,Shanghai 200032,China
  • Department of Epidemiology,School of Public Health,Fudan University,Shanghai 200032,China
  • Institute of Preventive Medicine,School of Public Health,Fudan University,Shanghai 200032,China
Funds:  The current work was funded by Shanghai Municipal Committee of Science and Technology through(03DZ19612 and 03DZ05052)

Abstract: Objective To study the relationship between ambient air pollution and daily mortality of SARS in Beijing. Methods The approach of time-series Poisson regression was used to assess the relationship between daily SARS mortality, ambient air pollution, and other factors from April 25 to May 31, 2003 in Beijing. Results An increase of each 10 μμg/m3 over a 5-day moving average of PM10, SO2 and NO2 corresponded to 1.06 (1.00-1.12), 0.74 (0.48-1.13) and 1.22 (1.01-1.48) relative risks (RRs) of daily SARS mortality, respectively. The relative risks (RRs) values depended largely on the selection of lag days. Conclusion The daily mortality of SARS might be associated with certain air pollutants in Beijing.

HAI-DONG KAN, BING-HENG CHEN, CHAO-WEI FU, Shun-Zhang Yu, LI-NA MU. Relationship Between Ambient Air Pollution and Daily Mortality of SARS in Beijing[J]. Biomedical and Environmental Sciences, 2005, 18(1): 1-4.
Citation: HAI-DONG KAN, BING-HENG CHEN, CHAO-WEI FU, Shun-Zhang Yu, LI-NA MU. Relationship Between Ambient Air Pollution and Daily Mortality of SARS in Beijing[J]. Biomedical and Environmental Sciences, 2005, 18(1): 1-4.
shu

    HTML

Catalog

    Biomedical and Environmental Sciences ISSN 0895-3988 CN 11-2816/Q

    Publish Under the Auspices of Chinese Center for Disease Control and Prevention

    Distributed by Chinese Center for Disease Control and Prevention

    All Rights Reserved by Chinese Center for Disease Control and Prevention

    京ICP备11024750号-4     京公网京备11011402013006号

    Quick Links

    Supported by Beijing Renhe Information Technology Co. Ltd E-mail: info@rhhz.net 百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return