Abstract

In this note, under the condition for the permanence used by [Beretta and Breda, An SEIR epidemic model with constant latency time and infectious period, Math. Biosci. Eng. 8 (2011) 931-952], applying modified monotone sequences, we establish the global asymptotic stability of the endemic equilibrium of this SEIR epidemic model, without any other additional conditions on the global stability.

Highlights

  • Motivated by the interesting contribution by Xu and Du [4] and Xu and Ma [6] to the stability analysis by means of iterative schemes and comparison principles, Beretta and Breda [1] recently investigated a two delayed SEIR epidemic model with a saturation incidence rate

  • One delay is a time taken by the infected individuals to become infectious, and the other delay is a time taken by an infectious individual to be removed from the infection

  • Muroya et al [3] investigated improvement on monotone iterative techniques in Xu and Ma [5] to obtain the global stability of the endemic equilibrium of a delayed SIRS epidemic model

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Summary

Introduction

Motivated by the interesting contribution by Xu and Du [4] and Xu and Ma [6] to the stability analysis by means of iterative schemes and comparison principles, Beretta and Breda [1] recently investigated a two delayed SEIR epidemic model with a saturation incidence rate. By applying iterative schemes as used for a delayed SIR epidemic model in Xu and Du [4] and the comparison principles, Beretta and Breda [1] established the following result: Theorem A (See Beretta and Breda [1]). Muroya et al [3] (see Muroya et al [2]) investigated improvement on monotone iterative techniques in Xu and Ma [5] to obtain the global stability of the endemic equilibrium of a delayed SIRS epidemic model. The following result is obtained in Beretta and Breda [1, Lemma 2.1]. The following results are obtaind in Beretta and Breda [1, Lemma 2.2 and Theorems 2.7-2.8]. If the condition (1.11) holds, system (1.1) is permanent

Monotone iterative techniques to the reduced model
Numerical examples
Figures of
4: Graph trajectories

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