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Nonstandard Finite Difference Scheme for SIRS Epidemic Model with Disease-Related Death

机译:患有疾病相关死亡的SIRS流行病模型的非标准有限差分计划

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It is well known that SIRS epidemic with disease-related death can be described by a system of nonlinear ordinary differential equations (NL ODEs). This model has two equilibrium points where their existence and stability properties are determined by the basic reproduction number [1]. Besides the qualitative properties, it is also often needed to solve the system of NL ODEs. Euler method and 4th order Runge-Kutta (RK4) method are often used to solve the system of NL ODEs. However, both methods may produce inconsistent qualitative properties of the NL ODEs such as converging to wrong equilibrium point, etc. In this paper we apply non-standard finite difference (NSFD) scheme (see [2,3]) to approximate the solution of SIRS epidemic model with disease-related death. It is shown that the discrete system obtained by NSFD scheme is dynamically consistent with the continuous model. By our numerical simulations, we find that the solutions of NSFD scheme are always positive, bounded and convergent to the correct equilibrium point for any step size of integration (h), while those of Euler or RK4 method have the same properties only for relatively small h.
机译:众所周知,通过非线性常微分方程(NL ODES)的系统可以描述与疾病相关死亡的疫情。该模型具有两个平衡点,其中存在和稳定性属性由基本再现数[1]确定。除了定性特性,还需要解决NL杂散系统。欧拉方法和第4阶runge-Kutta(RK4)方法通常用于解决NL杂物系统。然而,这两种方法都可能产生NL杂物的不一致性性质,例如会聚到错误的平衡点等。在本文中,我们应用非标准有限差(NSFD)方案(参见[2,3])以近似溶解SIRS与疾病相关死亡的流行病模型。结果表明,通过NSFD方案获得的离散系统与连续模型动态一致。通过我们的数值模拟,我们发现NSFD方案的解决方案始终是正的,有界和会聚,对于任何步长的整合(h)的正确平衡点,而欧拉或RK4方法的速度仅为相同的属性相对较小H。

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