谢立, 刘冰, 孙昼, 黄仁杰, 考庆军, 杨旭辉, 王婧, 王麟, 程瑾. 气象因素对感染性腹泻发病数影响的时间序列研究[J]. 环境卫生学杂志, 2013, 3(6): 486-489.
    引用本文: 谢立, 刘冰, 孙昼, 黄仁杰, 考庆军, 杨旭辉, 王婧, 王麟, 程瑾. 气象因素对感染性腹泻发病数影响的时间序列研究[J]. 环境卫生学杂志, 2013, 3(6): 486-489.
    Xie Li, Liu Bing, Sun Zhou, Huang Renjie, Kao Qingjun, Yang Xuhui, Wang Jing, Wang Lin, Cheng Jin. Meteorological Factors and Infectious Diarrhea in Hangzhou:a Time-series Study[J]. Journal of Environmental Hygiene, 2013, 3(6): 486-489.
    Citation: Xie Li, Liu Bing, Sun Zhou, Huang Renjie, Kao Qingjun, Yang Xuhui, Wang Jing, Wang Lin, Cheng Jin. Meteorological Factors and Infectious Diarrhea in Hangzhou:a Time-series Study[J]. Journal of Environmental Hygiene, 2013, 3(6): 486-489.

    气象因素对感染性腹泻发病数影响的时间序列研究

    Meteorological Factors and Infectious Diarrhea in Hangzhou:a Time-series Study

    • 摘要:
      目的  探讨杭州市气象因素与感染性腹泻发病数的关系。
      方法  选用广义相加模型分析时间序列资料, 在控制与时间有关的长期趋势、季节趋势及与时间有关的混杂因素基础上, 分析杭州市2006-2008年每年5月1日-10月31日间的气温、气压、湿度、云量、降水量、能见度、风速、地表温度等气象因素对感染性腹泻日发病数的影响。
      结果  最高温度、湿度、气压、风速、40 cm地表温度与腹泻日发病数间的关联有统计学意义。
      结论  气温、湿度、气压、风速、地表温度等气象因素对感染性腹泻日发病数可能有影响。

       

      Abstract:
      Objectives  To assess the association between meteorological factors and the incidence of infectious diarrhea in Hangzhou.
      Methods  A generalized additive modeling was used to analyze the data of meteorological factors and the number of infectious diarrhea patients occurred in May 1 to Oct 31 in 2006-2008.Under the control of time-related long-term and seasonal trends and confounding factors, the effect of meteorological factors were analyzed, such as the air temperature, air pressure, humidity, cloud cover, precipitates, visibility, wind speed, and surface temperature at the time while the infectious diarrhea cases occurred.
      Results  The association between the highest air temperature, humidity, air pressure, wind speed and 40 cm surface temperature with the occurrence of infectious diarrhea cases was statistically significant.
      Conclusions  Meteorological factors including air temperature, humidity, air pressure, wind speed, and surface temperature might affect the occurrence of infectious diarrhea cases.

       

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