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收集流行病学资料,评价防治效果,可为今后工作提供数据。以电子计算器可用指数函数曲线模型分析患病率数据,预测流行趋势。用CASIO fx-3600p计算器,以经对数转换后的直线回归模型也可进行演算。已知各年度患病率随年代呈指数下降趋势。设患病率与年代的关系为y=e~(a+bx)(y为患病率,x为年代常数值)。上式即为1ny=a+bx取本地区近10年内每年的患病率(已知数),用CASIO fx-3600P计算器的直线回归功能,按规定顺序演算,即可预测今后各年度的患病率。
Epidemiological data collection, evaluation of prevention and treatment results, can provide data for future work. Using an electronic calculator, an exponential function curve model can be used to analyze the prevalence data and predict the epidemic trend. Using the CASIO fx-3600p calculator, a logarithmically transformed linear regression model can be used for calculations as well. The annual prevalence is known to decline exponentially with age. Set the prevalence and age of the relationship y = e ~ (a + bx) (y is the prevalence, x is the age constant value). The above formula is 1ny = a + bx Take the annual prevalence (known number) of the past 10 years in this region, use the linear regression function of CASIO fx-3600P calculator, calculate in accordance with the specified order, you can predict the future years Prevalence.