The Positivity of Numerical Method for Susceptible-Infected-Recovered-Susceptible Epidemic Model

被引：0
|
作者：
Feng, Feng [1 ]
Wang, Zong [1 ]
机构：
[1] Ningxia Univ, Yinchuan 750021, Ningxia, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2020年 / 2020卷
关键词：
NONLINEAR INCIDENCE; VACCINATION; STABILITY; THRESHOLD;
D O I：
10.1155/2020/6825284
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Sudden environmental perturbations may affect the positivity of the solution of the susceptible-infected-recovered-susceptible (SIRS) model. Most of the SIRS epidemic models have no analytical solution. Thus, in order to find the appropriate solution, the numerical technique becomes more essential for us to solve the dynamic behavior of epidemics. In this paper, we are concerned with the positivity of the numerical solution of a stochastic SIRS epidemic model. A new numerical method that is the balanced implicit method (BIM) is set, which preserves the positivity under given conditions. The BIM method can maintain positive numerical solution. An illustrative numerical instance is presented for the numerical BIM of the stochastic SIRS model.
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页数：10
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