Assessing the Effects of Treatment in HIV-TB Co-infection Model
Sachin Kumar, Shikha Jain

TL;DR
This paper develops a mathematical model for HIV-TB co-infection, analyzing how different treatment strategies impact disease dynamics, eradication potential, and mortality, highlighting the importance of targeted treatments for both diseases.
Contribution
It introduces a comprehensive HIV-TB co-infection model with treatment effects and analyzes the impact of different treatment strategies on disease eradication and mortality.
Findings
Treatment of TB alone significantly reduces infections and deaths.
Eradication is difficult without treating both HIV and TB.
Co-infection treatment combined with single disease treatments yields the best outcomes.
Abstract
We propose a population model for HIV-TB co-infection dynamics by considering treatments for HIV infection, active tuberculosis and co-infection. The HIV only and TB only models are analyzed separately, as well as full model. The basic reproduction numbers for TB () and HIV () and overall reproduction number for the system are computed. The equilibria and their stability are studied. The main model undergoes supercritical transcritical bifurcation at and whereas the parameters and act as bifurcation parameters, respectively. Numerical simulation claims the existence of interior equilibrium when both the reproduction numbers are greater than unity. We explore the effect of early and late HIV treatment on…
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