Bulletin of the Korean Mathematical Society · 2011 · 108 citations · 24 references
Life SciencesImmunologyInfectious DiseasesDynamical SystemsHost-pathogen InteractionsVirologyHost-virus InteractionsInfectious Disease DynamicsStability TheoryT Cell BiologyViral InfectionsViral PersistenceDifferential Equation FormulationDifferential Equation ModelsEpidemic ModelsGlobal StabilityGlobal Stability AnalysisHiv Infection ModelsHiv Population DynamicsHost-pathogen Dynamics Models
Mathematical models of HIV infection are widely used, but most assume a linear infection rate, which reflects a simple interaction between T‑cells and viral particles. In this paper, a differential equation model of HIV infection of CD4⁺ T‑cells with Crowley‑Martin functional response is studied. We prove that if R₀<1 the infection is cleared and the disease dies out, whereas if R₀>1 the infection persists and the chronic steady state is globally asymptotically stable, as illustrated by numerical simulations.
It is well known that the mathematical models provide very important information for the research of human immunodeciency virus type. However, the infection rate of almost all mathematical models is linear. The linearity shows the simple interaction between the T-cells and the viral particles. In this paper, a differential equation model of HIV infection of <TEX>$CD4^+$</TEX> T-cells with Crowley-Martin function response is studied. We prove that if the basic reproduction number <TEX>$R_0$</TEX> < 1, the HIV infection is cleared from the T-cell population and the disease dies out; if <TEX>$R_0$</TEX> > 1, the HIV infection persists in the host. We find that the chronic disease steady state is globally asymptotically stable if <TEX>$R_0$</TEX> > 1. Numerical simulations are presented to illustrate the results.
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Mathematical Analysis of HIV-1 Dynamics in Vivo
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