Dynamical Analysis of a Delayed SIQS Epidemic Model on Scale-Free Networks

Dynamical Analysis of a Delayed SIQS Epidemic Model on Scale-Free Networks

Year:    2021

Author:    Rundong Zhao, Qiming Liu

Journal of Nonlinear Modeling and Analysis, Vol. 3 (2021), Iss. 4 : pp. 561–576

Abstract

In this paper, we establish a novel delayed SIQS epidemic model on scale-free networks, where time delay represents the average quarantine period. Through mathematical analysis, we present the basic reproduction number $R_0.$ Then, we provide the global asymptotical stability of the disease-free equilibrium and the local asymptotical stability of the endemic equilibrium. Finally, we perform numerical simulations to verify the correctness of the main results and analyze the sensitivity of parameters. Our research shows that when $R_0 > 1,$ lengthening the quarantine period can slow the spread of the disease and reduce the number of infected individuals.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.12150/jnma.2021.561

Journal of Nonlinear Modeling and Analysis, Vol. 3 (2021), Iss. 4 : pp. 561–576

Published online:    2021-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    16

Keywords:    Epidemic model Network Quarantine period Stability.

Author Details

Rundong Zhao

Qiming Liu