Dynamics of HIV infection on 2D cellular automata

A Benyoussef, N.El HafidAllah, A ElKenz, H Ez-Zahraouy and M Loulidi

Physica A: Statistical Mechanics and its Applications, 2003, vol. 322, issue C, 506-520

Abstract: We use a cellular automata approach to describe the interactions of the immune system with the human immunodeficiency virus (HIV). We study the evolution of HIV infection, particularly in the clinical latency period. The results we have obtained show the existence of four different behaviours in the plane of death rate of virus–death rate of infected T cell. These regions meet at a critical point, where the virus density and the infected T cell density remain invariant during the evolution of disease. We have introduced two kinds of treatments, the protease inhibitors and the RT inhibitors, in order to study their effects on the evolution of HIV infection. These treatments are powerful in decreasing the density of the virus in the blood and the delay of the AIDS onset.

Keywords: HIV infection; Cellular automata (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:322:y:2003:i:c:p:506-520

DOI: 10.1016/S0378-4371(02)01915-5

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