Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model

Outbreak and large-scale of the infectious diseases have caused enormous economic losses to all countries in the world. Constructing a network model which could reflect the transmission dynamics of the epidemics and investigating their transmission laws have a significant meaning in the precaution a...

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Main Authors: Na Liu, Yunliu Li, Junwei Sun, Jie Fang, Peng Liu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/5518436
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author Na Liu
Yunliu Li
Junwei Sun
Jie Fang
Peng Liu
author_facet Na Liu
Yunliu Li
Junwei Sun
Jie Fang
Peng Liu
author_sort Na Liu
collection DOAJ
description Outbreak and large-scale of the infectious diseases have caused enormous economic losses to all countries in the world. Constructing a network model which could reflect the transmission dynamics of the epidemics and investigating their transmission laws have a significant meaning in the precaution and control of the epidemics. In this article, a fractional-order SIS epidemic network model is proposed. First, an expression of the basic reproduction number is deduced. Second, applying the Lyapunov function, the stability of the equilibrium points about the infectious model is analyzed in detail. Finally, an example is present to verify the theoretical analysis. Furthermore, on account of the fractional-order coefficient, its influence on the transmission dynamics is also exhibited.
format Article
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institution Kabale University
issn 1026-0226
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-15b6515a988847b0a39ca305a4d503cc2025-02-03T05:45:11ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/55184365518436Epidemic Dynamics of a Fractional-Order SIS Infectious Network ModelNa Liu0Yunliu Li1Junwei Sun2Jie Fang3Peng Liu4College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaCollege of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaCollege of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaCollege of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaCollege of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaOutbreak and large-scale of the infectious diseases have caused enormous economic losses to all countries in the world. Constructing a network model which could reflect the transmission dynamics of the epidemics and investigating their transmission laws have a significant meaning in the precaution and control of the epidemics. In this article, a fractional-order SIS epidemic network model is proposed. First, an expression of the basic reproduction number is deduced. Second, applying the Lyapunov function, the stability of the equilibrium points about the infectious model is analyzed in detail. Finally, an example is present to verify the theoretical analysis. Furthermore, on account of the fractional-order coefficient, its influence on the transmission dynamics is also exhibited.http://dx.doi.org/10.1155/2021/5518436
spellingShingle Na Liu
Yunliu Li
Junwei Sun
Jie Fang
Peng Liu
Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model
Discrete Dynamics in Nature and Society
title Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model
title_full Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model
title_fullStr Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model
title_full_unstemmed Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model
title_short Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model
title_sort epidemic dynamics of a fractional order sis infectious network model
url http://dx.doi.org/10.1155/2021/5518436
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AT yunliuli epidemicdynamicsofafractionalordersisinfectiousnetworkmodel
AT junweisun epidemicdynamicsofafractionalordersisinfectiousnetworkmodel
AT jiefang epidemicdynamicsofafractionalordersisinfectiousnetworkmodel
AT pengliu epidemicdynamicsofafractionalordersisinfectiousnetworkmodel