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
Nonlinear stochastic modeling has significant role in the all discipline of sciences. The essential ...
In this paper, we propose new mathematical models with nonlinear incidence rate and double epidemic ...
Epidemic and infectious disease fall into the category of time dependent dynamic system. The model u...
Abstract In this paper we propose the balanced implicit numerical techniques for maintaining the non...
This work concerns about the numerical solution to the stochastic epidemic model proposed by Cai et ...
We consider Susceptible-Infected-Recovered (SIR) models of infectious disease spread without and wit...
Stochastic SIRS models play a key role in formulating and analyzing the transmission of infectious d...
In this paper, a numerical study has been undertaken on the susceptible-infectedrecovered (SIR) epi...
We introduce random fluctuations on contact and recovery rates in three basic deterministic models i...
In this thesis, we will study basic mathematical epidemic models SIR, SIS, and SEIR. Then we will co...
Mathematical modeling is a powerful tool used to study the dynamical processes of disease networks. ...
In the numerical solution of stochastic differential equations (SDEs) such appearances as sudden, la...
The aim of this paper is to generalize the nonlinear incidence rate of a stochastic SIRS (susceptibl...
In this paper, we analyze a stochastic SIR epidemic model in a constant population with a relapse an...
In this paper we extend the classical susceptible-infected-susceptible epidemic model from a determi...
Nonlinear stochastic modeling has significant role in the all discipline of sciences. The essential ...
In this paper, we propose new mathematical models with nonlinear incidence rate and double epidemic ...
Epidemic and infectious disease fall into the category of time dependent dynamic system. The model u...
Abstract In this paper we propose the balanced implicit numerical techniques for maintaining the non...
This work concerns about the numerical solution to the stochastic epidemic model proposed by Cai et ...
We consider Susceptible-Infected-Recovered (SIR) models of infectious disease spread without and wit...
Stochastic SIRS models play a key role in formulating and analyzing the transmission of infectious d...
In this paper, a numerical study has been undertaken on the susceptible-infectedrecovered (SIR) epi...
We introduce random fluctuations on contact and recovery rates in three basic deterministic models i...
In this thesis, we will study basic mathematical epidemic models SIR, SIS, and SEIR. Then we will co...
Mathematical modeling is a powerful tool used to study the dynamical processes of disease networks. ...
In the numerical solution of stochastic differential equations (SDEs) such appearances as sudden, la...
The aim of this paper is to generalize the nonlinear incidence rate of a stochastic SIRS (susceptibl...
In this paper, we analyze a stochastic SIR epidemic model in a constant population with a relapse an...
In this paper we extend the classical susceptible-infected-susceptible epidemic model from a determi...
Nonlinear stochastic modeling has significant role in the all discipline of sciences. The essential ...
In this paper, we propose new mathematical models with nonlinear incidence rate and double epidemic ...
Epidemic and infectious disease fall into the category of time dependent dynamic system. The model u...