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通过对无锡市流行性出血热20年流行病学有关资料的14个因素进行相关和逐步回归分析,结果流行性出血热发病率与5月,8月份月平均气温、国民人均收入呈负相关,与鼠密度呈正相关。逐步回归方程引入了鼠密度,5月份气温和8月份气温3个因素。经验证该方程计算出的理论年发病率与实际年发病率基本一致。
Through the correlation and stepwise regression analysis of 14 factors related epidemiological data of epidemic hemorrhagic fever in Wuxi City, the incidence of epidemic hemorrhagic fever was negatively correlated with the monthly average temperature in May and August, There was a positive correlation with mouse density. Stepwise regression equation introduced the three factors of rat density, temperature in May and temperature in August. It is verified that the theoretical annual incidence rate calculated by this equation is basically consistent with the actual annual incidence rate.