Abstract

A discrete SIS epidemic model with the bilinear incidence depending on the new infection is formulated and studied. The condition for the global stability of the disease free equilibrium is obtained. The existence of the endemic equilibrium and its stability are investigated. More attention is paid to the existence of the saddle-node bifurcation, the flip bifurcation, and the Hopf bifurcation. Sufficient conditions for those bifurcations have been obtained. Numerical simulations are conducted to demonstrate our theoretical results and the complexity of the model.

Highlights

  • Differential equations and difference equations are widely applied in epidemiological modeling

  • The flip bifurcation can occur in the neighborhood of the endemic equilibrium E1(x2g, x2g) when parameters pass through a critical point

  • We have studied a discrete SIS model with the bilinear incidence depending on the new infection

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Summary

Introduction

Differential equations and difference equations are widely applied in epidemiological modeling They are two typical mathematical approaches for modeling infectious diseases. The theoretical study of discrete epidemic models focus on the computation of the basic reproduction number [3,9,22], the existence and the global stability of the disease free equilibrium [7, 8, 11, 12, 28], the existence and local stability of the endemic equilibrium [4, 15], and the persistence of the disease [7, 8]. We consider a discrete epidemic model with SIS structure and use the bilinear incidence depending on the new infection. The discrete SIS model with bilinear incidence depending on the new infection is.

It is clear that equation has a unique equilibrium
More careful analysis should be done for the case
The transformation x
When u
The direct calculation yields that
The choice of a
Conclusion and discussion

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