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基于SIR模型的新冠肺炎疫情传播预测分析

Prediction and Analysis of Propagation of Novel Coronavirus Pneumonia Epidemic Based on SIR Model

  • 摘要: 针对新冠肺炎疫情传播情况,考虑传染病死亡者因素,改进经典的SIR传染病模型。将人群分为未感染者、感染者、治愈者、感染死亡者四类,建立四类人群所占比例的微分方程组。以2020年1月23日国家卫健委官网发布的新冠肺炎疫情数据作为初始值,采用改进的SIR模型方程和龙格库塔法模拟计算四类人群所占比例随时间变化的关系,预测新冠肺炎疫情的传播规律,且将预测结果与实际时间节点感染者、治愈者、死亡者的人数进行比较。得出当治愈率和死亡率取值分别为0.042 386和0.022 778时,1月23日至2月2日的日接触率大于0.3,1月23日至2月22日的日接触率大于0.2且小于0.3;在日接触率取定值时,计算出感染者比例的最大值及达到最大值的时间、治愈者和死亡者比例的极限值;推导出新冠肺炎疫情不蔓延的条件,得出最有效的防控方法是降低日接触率。

     

    Abstract: In view of the novel coronavirus pneumonia epidemic situation, taking the factor of infectious disease death into account, the classical SIR epidemic model was improved. The crowd was divided into four categories:the uninfected, infected, cured and dead, and the differential equations of the proportion of four groups were established. The novel coronavirus pneumonia data published by the National Health Commission on March 23, 2020 were taken as the initial value. The improved SIR equation and Runge Kutta method were used to simulate the relationship between the proportion of four groups of people and time, and the propagation rule of novel coronavirus pneumonia epidemic was predicted,and the predicted results were compared with the number of infected, cured and dead people in the actual time node.When the cure rate and death rate are 0.042 386 and 0.022 778 respectively, the daily contact rate from March 23 to February 2 is more than 0.3, and the daily contact rate from March 23 to February 22 is more than 0.2 and less than 0.3. When the daily contact rate is set, the maximum value of the proportion of the infected and the time to reach the maximum value, and the limit value of the proportion of the cured and the dead are calculated. The conditions for the novel coronavirus pneumonia outbreak are deduced, and the most effective prevention and control way is to reduce the daily contact rate.

     

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