用五阶龙格库塔法分析SIRS流行病模型的稳定性

Tulus, T. Marpaung, D. Destawandi, M. R. Syahputra, Suriati
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引用次数: 0

摘要

疾病的传播可通过感染链内直接或间接的相互作用发生。在某些情况下,有些疾病可能成为地方病;一种疾病在一个地区长期爆发的状况。这种情况可以用一定的假设建立数学模型,并用解析解和数值解求解。在本研究中,我们通过建立传染病SIRS流行的数学模型来分析疾病传播的稳定性,通过龙格-库塔5阶方法得到该数学模型的数值解,并用MATLAB R2010软件进行仿真。模拟结果表明,疾病传播率越大,恢复率越低,可能导致自然死亡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability Analysis of the SIRS Epidemic Model using the Fifth-order Runge Kutta Method
: Transmission of the diseases can occur through interactions within the infection chain either directly or indirectly. In some cases, there are diseases that can enter endemic conditions; conditions of an outbreak of a disease in an area over a long period of time. This condition can be mathematically modeled by using certain assumptions and solved by the analytical and numerical solutions. In this research, we analyze the stability of disease spread by building a mathematical model of SIRS epidemic in infectious disease, whose numerical solution is obtained through Runge-Kutta 5 th Order Method and simulated with MATLAB R2010 software. In the result of the simulation, it is concluded that the greater the rate of disease transmission, the lower the rate of recovery is and natural death can be caused endemic condition.
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