Stochastic modeling for dynamics of HIV-1 infection using cellular automata: A review
11 Institute for Innovative Learning, Mahidol University, 999 Salaya, Phutthamonthon District Nakhon Pathom 73170, Thailand.
Abstract:
Recently, the description of immune response by discrete models has emerged to play an important role to study the problems in the area of human immunodeficiency virus type 1 (HIV-1) infection, leading to AIDS. As infection of target immune cells by HIV-1 mainly takes place in the lymphoid tissue, cellular automata (CA) models thus represent a significant step in understanding when the infected population is dispersed. Motivated by these, the studies of the dynamics of HIV-1 infection using CA in memory have been presented to recognize how CA have been developed for HIV-1 dynamics, which issues have been studied already and which issues still are objectives in future studies.
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