Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection

A mathematical model is proposed to consider the effects of saturated diagnosis and vaccination on HIV/AIDS infection. By employing center manifold theory, we prove that there exists a backward bifurcation which suggests that the disease cannot be eradicated even if the basic reproduction number is...

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Main Authors: Can Chen, Yanni Xiao
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/414383
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author Can Chen
Yanni Xiao
author_facet Can Chen
Yanni Xiao
author_sort Can Chen
collection DOAJ
description A mathematical model is proposed to consider the effects of saturated diagnosis and vaccination on HIV/AIDS infection. By employing center manifold theory, we prove that there exists a backward bifurcation which suggests that the disease cannot be eradicated even if the basic reproduction number is less than unity. Global stability of the disease-free equilibrium is investigated for appropriate conditions. When the basic reproduction number is greater than unity, the system is uniformly persistent. The proposed model is applied to describe HIV infection among injecting drug users (IDUs) in Yunnan province, China. Numerical studies indicate that new cases and prevalence are sensitive to transmission rate, vaccination rate, and vaccine efficacy. The findings suggest that increasing vaccination rate and vaccine efficacy and enhancing interventions like reducing share injectors can greatly reduce the transmission of HIV among IDUs in Yunnan province, China.
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spelling doaj-art-935daae2de2249caa67fad0a9a8ffe762025-08-20T02:10:10ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/414383414383Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS InfectionCan Chen0Yanni Xiao1Department of Applied Mathematics, Xi'an Jiaotong University, Xi'an 710049, ChinaDepartment of Applied Mathematics, Xi'an Jiaotong University, Xi'an 710049, ChinaA mathematical model is proposed to consider the effects of saturated diagnosis and vaccination on HIV/AIDS infection. By employing center manifold theory, we prove that there exists a backward bifurcation which suggests that the disease cannot be eradicated even if the basic reproduction number is less than unity. Global stability of the disease-free equilibrium is investigated for appropriate conditions. When the basic reproduction number is greater than unity, the system is uniformly persistent. The proposed model is applied to describe HIV infection among injecting drug users (IDUs) in Yunnan province, China. Numerical studies indicate that new cases and prevalence are sensitive to transmission rate, vaccination rate, and vaccine efficacy. The findings suggest that increasing vaccination rate and vaccine efficacy and enhancing interventions like reducing share injectors can greatly reduce the transmission of HIV among IDUs in Yunnan province, China.http://dx.doi.org/10.1155/2014/414383
spellingShingle Can Chen
Yanni Xiao
Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection
Abstract and Applied Analysis
title Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection
title_full Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection
title_fullStr Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection
title_full_unstemmed Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection
title_short Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection
title_sort modeling saturated diagnosis and vaccination in reducing hiv aids infection
url http://dx.doi.org/10.1155/2014/414383
work_keys_str_mv AT canchen modelingsaturateddiagnosisandvaccinationinreducinghivaidsinfection
AT yannixiao modelingsaturateddiagnosisandvaccinationinreducinghivaidsinfection