Literature DB >> 31499735

Global dynamics of an SIRS model with demographics and transfer from infectious to susceptible on heterogeneous networks.

Hai Jun Hu1,2, Xu Pu Yuan1,3, Li Hong Huang1, Chuang Xia Huang1.   

Abstract

In this paper, by taking full consideration of demographics, transfer from infectious to sus-ceptible and contact heterogeneity of the individuals, we construct an improved Susceptible-Infected-Removed-Susceptible (SIRS) epidemic model on complex heterogeneous networks. Using the next generation matrix method, we obtain the basic reproduction number $\mathcal{R}_0$ which is a critical value and used to measure the dynamics of epidemic diseases. More specifically, if $\mathcal{R}_0$ < 1, then the disease-free equilibrium is globally asymptotically stable; if $\mathcal{R}_0$ > 1, then there exists a unique endemic equilib-rium and the permanence of the disease is shown in detail. By constructing an appropriate Lyapunov function, the global stability of the endemic equilibrium is proved as well under some conditions. Moreover, the effects of three major immunization strategies are investigated. Finally, some numerical simulations are carried out to demonstrate the correctness and validness of the theoretical results.

Entities:  

Keywords:  SIRS model; basic reproduction number; covariance driven; global dynamics; heterogeneous network; immunization strategy

Year:  2019        PMID: 31499735     DOI: 10.3934/mbe.2019286

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  1 in total

1.  A new SEIAR model on small-world networks to assess the intervention measures in the COVID-19 pandemics.

Authors:  Jie Li; Jiu Zhong; Yong-Mao Ji; Fang Yang
Journal:  Results Phys       Date:  2021-05-08       Impact factor: 4.476

  1 in total

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