摘要
用麻风发病率(y_1)和患病率(y_2)作因变量,刚人均工农业总产值(x_1)、人均国民收入(x_2)、农业人口比重(x_3)、卫技人员比重(x_4)、年平均气温(x_5)和年平均降雨量(x_6)作自变量,用中国广西百色地区1956～1992年36年的数据作为基本资料,以逐步回归法分别建立y_1和y_2的多元回归模型。对各变量间的简单相关及引入模型中的自变量作了分析,说明人口、经济和气候对嘛风流行均有不同程度的影响,其中x_4、x_2、x_3对y_1影响较大,x_1、X_2和x_3对y_2的影响较明显。
Multiple regression models of two dependent variables-incidence (Y1) and prevalence (Y2) of leprosy have been set xup,using data of Baise Prefecture ofGuangxi in 1956 to 1992 and taking gross output value of industry and agriculture per capita (X1) national income per capita (X2),proportions of agricultural population (X3)and he 1th workers (X4) annual mean air temperature (X5) and annual rainfall (X6)asindependent variables.Analyses of simple correlations of the variables with independent variables used in models showed that factors of population,economy and climate could exert some influence on endemicity of leprosy and the impacts' of factors X4,X2 and X3on the incidence and of factors X1,X2 and X3 on the prevalence are more notable.
