To understand infection mechanisms, the stability of the solution for continuous epidemic models is often discussed. However, Acedo et al. [1] recently proposed a formal solution for a continuous SIRS model. We apply analytical approach by [1] to a discretized SIRS model. This analytical approach can not be applied to discretized model using traditional numerical schemes. Sekiguchi and Ishiwata...

Based on the SIRS epidemic model embedded in complex network theory and COVID-19 spreading characteristics, influence of prevention & control treatment ontagion stability social is analyzed separately this paper. The results show that contagion leads to risk network. number infected persons decreased by which drives risk-free stability. more effective than against COVID-19. Compared with co...

Abstract We study a stochastic process describing the onset of spreading dynamics of an epidemic in a population composed by individuals of three classes: susceptible (S), infected (I), and recovered (R). The stochastic process is defined by local rules and involves the following cyclic process: S→I→R→S (SIRS). The open process S→I→R (SIR) is studied as a particular case of the SIRS process. Th...