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“SARS”病死率数学模型实例分析 被引量:3

The Instance Analysis of Mortality Mathematical Model on SARS
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摘要 在疫情结束以前,确定病死率的问题是一个困难的问题;由于预测方法不同,各地区公布的数字差别很大,也为疫情控制措施的制订带来了不便.在给出了动态病死率的概念,动态病死率极限值概念及疫情得到有效控制的日期动态病死率作为病死率近似值概念的基础上,作出了疫情得到有效控制的基本假设;给出了2个前陡后缓的"Ω"形曲线,对疫程进行了预测;并为疫情预测与控制提供了一种新的分析工具. It is a difficult problem to determine the mortality before the 'SARS' disease is controlled. Different forecast methods bring different results. It has brought difficulties to make effective measures to control the epidemic situation. The paper develops the definition of the dynamic mortality and the limit value of the dynamic mortality. When the disease is controlled, the current dynamic mortality is used as the mortality. The paper also gives the basic precondition that the epidemic situation had been controlled, draws two curves like the symbol 'Ω', and forecasts the epidemic situation. The paper introduces the effective analytical tools to forecast and control the epidemic situation.
作者 陈庆华
出处 《装备指挥技术学院学报》 2003年第4期98-101,共4页 Journal of the Academy of Equipment Command & Technology
关键词 SARS 病死率 数学模型 疫情控制 动态病死率 疫情预测 mortality dynamic mortality epidemic situation control mathematical model
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参考文献2

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同被引文献14

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  • 8陈征,Nakamura Tsuyoshi.基于竞争风险理论和概要型数据的病死率估计模型[J].中国卫生统计,2010,27(3):249-252. 被引量:7
  • 9韩栋,陈征,陈平雁,Nakamura Tsuyoshi.轮廓似然函数及其应用[J].中国卫生统计,2012,29(4):478-480. 被引量:5
  • 10卢梓航,周立志,韩栋,周燕丰,陈征.竞争风险型数据的统计处理及应用[J].现代预防医学,2013,40(5):804-807. 被引量:8

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