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Adams, B.M., Banks, H.T., Davidiana, M., Kwon, H.D., Tran, H.T., Wynne, S.N. and Rosenberg, E.S. (2004) HIV Dynamics Modeling, Data Analysis and Optimal Treatment Protocols. Journal of Computational and Applied Mathematics, 184, 10-49.
https://doi.org/10.1016/j.cam.2005.02.004

has been cited by the following article:

• TITLE: Mathematical Modeling Applied to Understand the Dynamical Behavior of HIV Infection

  AUTHORS: Sontosh Kumar Sahani, M. Haider Ali Biswas

  KEYWORDS: CD4+ T Cells, Dynamical Systems, Basic Reproduction Number, Equilibrium Points, Stability Analysis

  JOURNAL NAME: Open Journal of Modelling and Simulation, Vol.5 No.2, March 6, 2017

  ABSTRACT: The study of viral dynamics of HIV/AIDS has resulted in a deep understanding of host-pathogenesis of HIV infection from which numerous mathematical modeling have been derived. Most of these models are based on nonlinear ordinary differential equations. In Bangladesh, the rate of increase of HIV infection comparing with the other countries of the world is not so high. Bangladesh is still considered to be a low prevalent country in the region with prevalence and shown the local and global stability at disease free and chronic infected equilibrium points. Also we have shown that if the basic reproduction number , then HIV infection is cleared from T cell population and it converges to disease free equilibrium point. Whereas if , then HIV infection persists.