【摘要】 本文利用北京、广州、太原和长沙四地SARS病例资料和前期及同期气象资料进行了时间相关、地域对比分析 ,结果显示 :当最低气温、平均气温较低和空气干燥 (湿度小 )时 ,预示后期发病人数有较大增加 ;反之 ,当最低气温、平均气温较高和空气潮湿 (湿度大 )时 ,预示后期发病人数有较大减少。此外每次降温过程的出现预示着SARS发病人数将增加。更多还原

【Abstract】 The data of SARS case and meteorological data of previous stage and the same period in Beijing, Guangzhou, Taiyuan and Changsha are analyzed. The results of correlation analysis about time and region contrast show that the number of the infected cases increases greatly on later stage when minimum temperature,mean temperature are low with dry air (Light humidity); On the contrary, if minimum temperature, mean temperature are high and with moist air (heavy humidity), the number of the infected cases will reduce greatly on later stage. Each temperature reducing climate indicates an in crease of SARS cases.更多还原