Abstract
In this paper, an HIV-TB co-infection model is explored which incorporates non-linear treatment rate for TB. We begin with presenting an HIV-TB co-infection model and analyse both HIV and TB sub-models separately. The basic reproduction numbers corresponding to HIV-only, TB-only and HIV-TB full model are computed. The disease-free equilibrium point of the HIV sub-model is shown to be locally as well as globally asymptotically stable when its corresponding reproduction number is less than unity. On the other hand, for TB sub-model, the disease-free equilibrium point is locally asymptotically stable but may not be globally asymptotically stable. We have also analysed the full HIV-TB co-infection model. Numerical simulations are performed to explore the effect of treatment rate in the presence of resource limitation for TB infected individuals which emphasizes the fact that to reduce co-infection from the population, programmes to accelerate treatment of TB should be implemented.
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Acknowledgements
Rajiv Aggarwal thanks the International Union of Biological Sciences (IUBS) for partial support of living expenses in Szeged, during the 19th BIOMAT International Symposium, October 20–26, 2019.
The authors are thankful to the Center for Fundamental Research in Space Dynamics and Celestial Mechanics (CFRSC) for providing us the necessary help and support.
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Aggarwal, R., Tanvi, Kovacs, T. (2020). Dynamics of HIV/AIDS and TB Co-infection with Treatment Rate as Holling Type-II Function. In: Mondaini, R.P. (eds) Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment. BIOMAT 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-46306-9_21
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DOI: https://doi.org/10.1007/978-3-030-46306-9_21
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