【摘要】 利用武汉市 1994年～ 1998年五年逐日中暑病例的详细调查资料 ,分析了中暑发病的时间分布特点 ,以及性别、年龄、发病地点等流行病学的统计特征。计算了逐日中暑人数与 2 6项气象要素的单相关系数 ,利用逐步回归筛选因子 ,建立了中暑发病的统计预报模型 ,并进行了等级划分。经检验 ,预报值和实际值比较吻合。更多还原

【Abstract】 By using the detailed data of daily heat invasion cases during five years from 1994 to 1998 in Wuhan,the characteristic of time distribution of heat invasion and the epidemiological statistical features about sex,age and the disease spot had been analysed.The statistical forecast model of heat invasion was set up with progressive regression on the basis of calculating the single correlation coefficient of daily heat invasion numbers and 26 meteorological factors,and the reasonable grade standards were also built up.By experimental test,the results showed that the forecast value and the real value are relatively identical.更多还原