Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate

In this paper, we develop and analyze an SIS epidemic model with a general nonlinear incidence rate, as well as degree-dependent birth and natural death, on heterogeneous networks. We analytically derive the epidemic threshold $R_0$ which completely governs the disease dynamics: when $R_0<1 the=&...

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Main Authors: Shouying Huang, Jifa Jiang
Format: Article
Language:English
Published: AIMS Press 2016-04-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2016016
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author Shouying Huang
Jifa Jiang
author_facet Shouying Huang
Jifa Jiang
author_sort Shouying Huang
collection DOAJ
description In this paper, we develop and analyze an SIS epidemic model with a general nonlinear incidence rate, as well as degree-dependent birth and natural death, on heterogeneous networks. We analytically derive the epidemic threshold $R_0$ which completely governs the disease dynamics: when $R_0<1 the="" disease-free="" equilibrium="" is="" globally="" asymptotically="" stable="" i="" e="" the="" disease="" will="" die="" out="" when="" r_0="">1$, the disease is permanent. It is interesting that the threshold value $R_0$ bears no relation to the functional form of the nonlinear incidence rate and degree-dependent birth. Furthermore, by applying an iteration scheme and the theory of cooperative system respectively, we obtain sufficient conditions under which the endemic equilibrium is globally asymptotically stable. Our results improve and generalize some known results. To illustrate the theoretical results, the corresponding numerical simulations are also given.
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publishDate 2016-04-01
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record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-d99e95f568b840739db5946c39b9a2982025-01-24T02:36:34ZengAIMS PressMathematical Biosciences and Engineering1551-00182016-04-0113472373910.3934/mbe.2016016Global stability of a network-based SIS epidemic model with a general nonlinear incidence rateShouying Huang0Jifa Jiang1Mathematics and Science College, Shanghai Normal University, Shanghai, 200234Mathematics and Science College, Shanghai Normal University, Shanghai 200234In this paper, we develop and analyze an SIS epidemic model with a general nonlinear incidence rate, as well as degree-dependent birth and natural death, on heterogeneous networks. We analytically derive the epidemic threshold $R_0$ which completely governs the disease dynamics: when $R_0<1 the="" disease-free="" equilibrium="" is="" globally="" asymptotically="" stable="" i="" e="" the="" disease="" will="" die="" out="" when="" r_0="">1$, the disease is permanent. It is interesting that the threshold value $R_0$ bears no relation to the functional form of the nonlinear incidence rate and degree-dependent birth. Furthermore, by applying an iteration scheme and the theory of cooperative system respectively, we obtain sufficient conditions under which the endemic equilibrium is globally asymptotically stable. Our results improve and generalize some known results. To illustrate the theoretical results, the corresponding numerical simulations are also given.https://www.aimspress.com/article/doi/10.3934/mbe.2016016heterogeneous networknonlinear incidenceepidemic spreadingequilibriumglobal stability.
spellingShingle Shouying Huang
Jifa Jiang
Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate
Mathematical Biosciences and Engineering
heterogeneous network
nonlinear incidence
epidemic spreading
equilibrium
global stability.
title Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate
title_full Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate
title_fullStr Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate
title_full_unstemmed Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate
title_short Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate
title_sort global stability of a network based sis epidemic model with a general nonlinear incidence rate
topic heterogeneous network
nonlinear incidence
epidemic spreading
equilibrium
global stability.
url https://www.aimspress.com/article/doi/10.3934/mbe.2016016
work_keys_str_mv AT shouyinghuang globalstabilityofanetworkbasedsisepidemicmodelwithageneralnonlinearincidencerate
AT jifajiang globalstabilityofanetworkbasedsisepidemicmodelwithageneralnonlinearincidencerate