Global stability of multi‐group SAIRS epidemic models

Author:

Ottaviano Stefania12,Sensi Mattia34ORCID,Sottile Sara5

Affiliation:

1. Department of Mathematics “Tullio Levi Civita” University of Padua Padova Italy

2. Department of Civil, Environmental and Mechanical Engineering University of Trento Trento Italy

3. MathNeuro Team Inria at Université Côte d'Azur Biot France

4. Politecnico di Torino Torino Italy

5. Department of Mathematics University of Trento Trento Italy

Abstract

We study a multi‐group SAIRS‐type epidemic model with vaccination. The role of asymptomatic and symptomatic infectious individuals is explicitly considered in the transmission pattern of the disease among the groups in which the population is divided. This is a natural extension of the homogeneous mixing SAIRS model with vaccination studied in Ottaviano et. al (2021) to a network of communities. We provide a global stability analysis for the model. We determine the value of the basic reproduction number and prove that the disease‐free equilibrium is globally asymptotically stable if . In the case of the SAIRS model without vaccination, we prove the global asymptotic stability of the disease‐free equilibrium also when . Moreover, if , the disease‐free equilibrium is unstable and a unique endemic equilibrium exists. First, we investigate the local asymptotic stability of the endemic equilibrium and subsequently its global stability, for two variations of the original model. Last, we provide numerical simulations to compare the epidemic spreading on different networks topologies.

Funder

Università degli Studi di Trento

Publisher

Wiley

Subject

General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on Lyapunov functions for epidemic compartmental models;Bollettino dell'Unione Matematica Italiana;2023-06-06

2. A minimal model for adaptive SIS epidemics;Nonlinear Dynamics;2023-05-06

3. A multigroup approach to delayed prion production;Discrete and Continuous Dynamical Systems - B;2023

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