A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton

The objective of this research is to study the evolution of CD4+ T lymphocytes infected with HIV in HIV-seropositive individuals under antiretroviral treatment utilizing a mathematical model consisting of a system of delay-differential equations. The infection rate of CD4+ T lymphocytes is a time-de...

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Main Authors: R. Motta Jafelice, C. A. F. Silva, L. C. Barros, R. C. Bassanezi
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2015/378753
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author R. Motta Jafelice
C. A. F. Silva
L. C. Barros
R. C. Bassanezi
author_facet R. Motta Jafelice
C. A. F. Silva
L. C. Barros
R. C. Bassanezi
author_sort R. Motta Jafelice
collection DOAJ
description The objective of this research is to study the evolution of CD4+ T lymphocytes infected with HIV in HIV-seropositive individuals under antiretroviral treatment utilizing a mathematical model consisting of a system of delay-differential equations. The infection rate of CD4+ T lymphocytes is a time-dependent parameter with delay. Such delay is given by a fuzzy number due to the uncertainty of the effects of both pharmacological and intracellular delays. A cellular automaton is utilized to estimate the parameters of the system. The effects of antiretroviral therapy in the cellular automaton are modeled using a fuzzy rule-based system with two inputs: the medication potency and the treatment adhesion for three hypothetical individuals. For each of them, we determine the infection rate of CD4+ T lymphocytes, which is different from zero, as opposed to other studies reported in the literature. As the infection rate is considered a fuzzy parameter, we determine the fuzzy and the defuzzified solutions for the infected CD4+ T lymphocytes. We obtain the maximum values of infected cells for individuals that receive low, medium, and high potency medication and treatment adhesion. The results obtained are in accordance qualitatively with what would be expected in a real situation.
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spelling doaj-art-92214ddbc5cc447f8698a93f3e6a457c2025-02-03T01:12:03ZengWileyJournal of Applied Mathematics1110-757X1687-00422015-01-01201510.1155/2015/378753378753A Fuzzy Delay Approach for HIV Dynamics Using a Cellular AutomatonR. Motta Jafelice0C. A. F. Silva1L. C. Barros2R. C. Bassanezi3Faculty of Mathematics, Federal University of Uberlândia, 38408-100 Uberlândia, MG, BrazilFaculty of Mechanical Engineering, Federal University of Uberlândia, 38408-100 Uberlândia, MG, BrazilDepartment of Applied Mathematics, IMECC, State University of Campinas, 13083-859 Campinas, SP, BrazilDepartment of Applied Mathematics, IMECC, State University of Campinas, 13083-859 Campinas, SP, BrazilThe objective of this research is to study the evolution of CD4+ T lymphocytes infected with HIV in HIV-seropositive individuals under antiretroviral treatment utilizing a mathematical model consisting of a system of delay-differential equations. The infection rate of CD4+ T lymphocytes is a time-dependent parameter with delay. Such delay is given by a fuzzy number due to the uncertainty of the effects of both pharmacological and intracellular delays. A cellular automaton is utilized to estimate the parameters of the system. The effects of antiretroviral therapy in the cellular automaton are modeled using a fuzzy rule-based system with two inputs: the medication potency and the treatment adhesion for three hypothetical individuals. For each of them, we determine the infection rate of CD4+ T lymphocytes, which is different from zero, as opposed to other studies reported in the literature. As the infection rate is considered a fuzzy parameter, we determine the fuzzy and the defuzzified solutions for the infected CD4+ T lymphocytes. We obtain the maximum values of infected cells for individuals that receive low, medium, and high potency medication and treatment adhesion. The results obtained are in accordance qualitatively with what would be expected in a real situation.http://dx.doi.org/10.1155/2015/378753
spellingShingle R. Motta Jafelice
C. A. F. Silva
L. C. Barros
R. C. Bassanezi
A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton
Journal of Applied Mathematics
title A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton
title_full A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton
title_fullStr A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton
title_full_unstemmed A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton
title_short A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton
title_sort fuzzy delay approach for hiv dynamics using a cellular automaton
url http://dx.doi.org/10.1155/2015/378753
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