Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection

In this paper, the dynamical behavior of a viral infection model with general incidence rate and two time delays is studied. By using the Lyapunov functional and LaSalle invariance principle, the global stabilities of the infection-free equilibrium and the endemic equilibrium are obtained. We obtai...

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Main Author: Yu Ji
Format: Article
Language:English
Published: AIMS Press 2014-12-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.525
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author Yu Ji
author_facet Yu Ji
author_sort Yu Ji
collection DOAJ
description In this paper, the dynamical behavior of a viral infection model with general incidence rate and two time delays is studied. By using the Lyapunov functional and LaSalle invariance principle, the global stabilities of the infection-free equilibrium and the endemic equilibrium are obtained. We obtain a threshold of the global stability for the uninfected equilibrium, which means the disease will be under control eventually. These results can be applied to a variety of viral infections of disease that would make it possible to devise optimal treatment strategies. Numerical simulations with application to HIV infection are given to verify the analytical results.
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spelling doaj-art-c883c7400b0c42c4b4ff55f745576aba2025-01-24T02:31:53ZengAIMS PressMathematical Biosciences and Engineering1551-00182014-12-0112352553610.3934/mbe.2015.12.525Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infectionYu Ji0Department of Mathematics, Beijing Technology and Business University, Beijing, 100048In this paper, the dynamical behavior of a viral infection model with general incidence rate and two time delays is studied. By using the Lyapunov functional and LaSalle invariance principle, the global stabilities of the infection-free equilibrium and the endemic equilibrium are obtained. We obtain a threshold of the global stability for the uninfected equilibrium, which means the disease will be under control eventually. These results can be applied to a variety of viral infections of disease that would make it possible to devise optimal treatment strategies. Numerical simulations with application to HIV infection are given to verify the analytical results.https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.525virus infectionstabilitytime delayhiv.general incidence rate
spellingShingle Yu Ji
Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection
Mathematical Biosciences and Engineering
virus infection
stability
time delay
hiv.
general incidence rate
title Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection
title_full Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection
title_fullStr Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection
title_full_unstemmed Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection
title_short Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection
title_sort global stability of a multiple delayed viral infection model with general incidence rate and an application to hiv infection
topic virus infection
stability
time delay
hiv.
general incidence rate
url https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.525
work_keys_str_mv AT yuji globalstabilityofamultipledelayedviralinfectionmodelwithgeneralincidencerateandanapplicationtohivinfection