Title

A Computer Simulation Study of Cell Population in a Fuzzy Interaction Model for Mutating HIV

Document Type

Article

Publication Date

3-1-1998

Department

Physics and Astronomy

Abstract

A fuzzy set of 10 interactions for macrophages, helper cells, cytotoxic cells, and virion is introduced to study their population dynamics in an immune response relevant to HIV. Viral mutation is considered and cellular automata are used for local interactions. In absence of mutation, after an initial incubation period (t(i)) in which the number of helper cells (N-H) becomes comparable to viral population (N-V), the immune system recovers as N-H grows larger than N-V in the long time, t>t(i). Increasing the mutation rate (p(mut)) enhances the viral growth and supresses the growth of host cells. Above a certain value of p(mut), the helper cells population depletes leading to AIDS as N-V>>N-H. (C) 1998 Published by Elsevier Science B.V. All rights reserved.

Publication Title

Physica A: Statistical Mechanics and its Applications

Volume

251

Issue

40972

First Page

430

Last Page

438