Influence of latent period and nonlinear
incidence rate on the dynamics of SIRS epidemiological models doi:10.3934/dcdsb.2010.13.195 Abstract Full Text (649.2K) Related Articles
Yu Yang  Department of Mathematics, Shanghai Jiao Tong University, Shanghai 200240, China (email) Abstract: A disease transmission model of SIRS type with latent period and nonlinear incidence rate is considered. Latent period is assumed to be a constant $\tau$, and the incidence rate is assumed to be of a specific nonlinear form, namely, $\frac{kI(t\tau)S(t)}{1+\alpha I^{h}(t\tau)}$, where $h\ge 1$. Stability of the diseasefree equilibrium, and existence, uniqueness and stability of an endemic equilibrium for the model, are investigated. It is shown that, there exists the basic reproduction number $R_0$ which is independent of the form of the nonlinear incidence rate, if $R_0\le 1$, then the diseasefree equilibrium is globally asymptotically stable, whereas if $R_0>1$, then the unique endemic equilibrium is globally asymptotically stable in the interior of the feasible region for the model in which there is no latency, and periodic solutions can arise by Hopf bifurcation from the endemic equilibrium for the model at a critical latency. Some numerical simulations are provided to support our analytical conclusions.
Keywords: SIRS model; latent period; Nonlinear
incidence rate; global stable; Hopf bifurcation.
Received: January 2008; Revised: August 2009; Published: October 2009. 
2013 5year IF.937
