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Assessing the effects of treatment in HIV-TB co-infection model

  • Sachin Kumar
  • Shikha JainEmail author
Regular Article

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 ( \( {R}_0^T\) and HIV ( \( {R}_0^H\) and overall reproduction number for the system \( {R}_0= \max\{{R}_0^T, {R}_0^H\}\) are computed. The equilibria and their stability are studied. The main model undergoes supercritical transcritical bifurcation at \( {R}_0^T=1\) and \( {R}_0^H=1\) , whereas the parameters \( \beta^{\ast}=\beta e\) and \( \lambda^{\ast}=\lambda \sigma\) 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 disease-induced deaths during the TB treatment course. Mathematical analysis of our model shows that successful disease eradication requires treatment of single disease, that is, treatment for HIV-only- and TB-only-infected individuals with addition to co-infection treatment and in the absence of which disease eradication is extremely difficult even for R < 0. When both the diseases are epidemic, the treatment for TB-only-infected individuals is very effective in reducing the total infected population and disease-induced deaths in comparison with the treatment for HIV-infected individuals while these are minimum when both the single-disease treatments are given with co-infection treatment.

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Copyright information

© Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of MathematicsUniversity of DelhiNew DelhiIndia

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