An SIRS model with differential susceptibility and infectivity on uncorrelated networks

We propose and study a model for sexually transmitted infections on uncorrelated networks, where both differential susceptibility and infectivity are considered. We first establish the spreading threshold, which exists even in the infinite networks. Moreover, it is possible to have backward bifurcat...

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Main Authors: Maoxing Liu, Yuming Chen
Format: Article
Language:English
Published: AIMS Press 2014-12-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.415
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author Maoxing Liu
Yuming Chen
author_facet Maoxing Liu
Yuming Chen
author_sort Maoxing Liu
collection DOAJ
description We propose and study a model for sexually transmitted infections on uncorrelated networks, where both differential susceptibility and infectivity are considered. We first establish the spreading threshold, which exists even in the infinite networks. Moreover, it is possible to have backward bifurcation. Then for bounded hard-cutoff networks, the stability of the disease-free equilibrium and the permanence of infection are analyzed. Finally, the effects of two immunization strategies are compared. It turns out that, generally, the targeted immunization is better than the proportional immunization.
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spelling doaj-art-5e48676298054fc19ef80c29f075dfab2025-01-24T02:31:53ZengAIMS PressMathematical Biosciences and Engineering1551-00182014-12-0112341542910.3934/mbe.2015.12.415An SIRS model with differential susceptibility and infectivity on uncorrelated networksMaoxing Liu0Yuming Chen1Department of Mathematics, North University of China, Taiyuan, Shanxi 030051Department of Applied Mathematics, Yuncheng University, Yuncheng, Shanxi 044000We propose and study a model for sexually transmitted infections on uncorrelated networks, where both differential susceptibility and infectivity are considered. We first establish the spreading threshold, which exists even in the infinite networks. Moreover, it is possible to have backward bifurcation. Then for bounded hard-cutoff networks, the stability of the disease-free equilibrium and the permanence of infection are analyzed. Finally, the effects of two immunization strategies are compared. It turns out that, generally, the targeted immunization is better than the proportional immunization.https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.415uncorrelated networksexually transmitted infectionspreading thresholdpermanence.
spellingShingle Maoxing Liu
Yuming Chen
An SIRS model with differential susceptibility and infectivity on uncorrelated networks
Mathematical Biosciences and Engineering
uncorrelated network
sexually transmitted infection
spreading threshold
permanence.
title An SIRS model with differential susceptibility and infectivity on uncorrelated networks
title_full An SIRS model with differential susceptibility and infectivity on uncorrelated networks
title_fullStr An SIRS model with differential susceptibility and infectivity on uncorrelated networks
title_full_unstemmed An SIRS model with differential susceptibility and infectivity on uncorrelated networks
title_short An SIRS model with differential susceptibility and infectivity on uncorrelated networks
title_sort sirs model with differential susceptibility and infectivity on uncorrelated networks
topic uncorrelated network
sexually transmitted infection
spreading threshold
permanence.
url https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.415
work_keys_str_mv AT maoxingliu ansirsmodelwithdifferentialsusceptibilityandinfectivityonuncorrelatednetworks
AT yumingchen ansirsmodelwithdifferentialsusceptibilityandinfectivityonuncorrelatednetworks
AT maoxingliu sirsmodelwithdifferentialsusceptibilityandinfectivityonuncorrelatednetworks
AT yumingchen sirsmodelwithdifferentialsusceptibilityandinfectivityonuncorrelatednetworks