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The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment

In this paper, the fractional-order differential model of HIV-1 infection of CD4(+) T-cells with the effect of drug therapy has been introduced. There are three components: uninfected CD4(+) T-cells, x, infected CD4(+) T-cells, y, and density of virions in plasma, z. The aim is to gain numerical sol...

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Detalles Bibliográficos
Autores principales: Lichae, Bijan Hasani, Biazar, Jafar, Ayati, Zainab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341269/
https://www.ncbi.nlm.nih.gov/pubmed/30728851
http://dx.doi.org/10.1155/2019/4059549
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author Lichae, Bijan Hasani
Biazar, Jafar
Ayati, Zainab
author_facet Lichae, Bijan Hasani
Biazar, Jafar
Ayati, Zainab
author_sort Lichae, Bijan Hasani
collection PubMed
description In this paper, the fractional-order differential model of HIV-1 infection of CD4(+) T-cells with the effect of drug therapy has been introduced. There are three components: uninfected CD4(+) T-cells, x, infected CD4(+) T-cells, y, and density of virions in plasma, z. The aim is to gain numerical solution of this fractional-order HIV-1 model by Laplace Adomian decomposition method (LADM). The solution of the proposed model has been achieved in a series form. Moreover, to illustrate the ability and efficiency of the proposed approach, the solution will be compared with the solutions of some other numerical methods. The Caputo sense has been used for fractional derivatives.
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spelling pubmed-63412692019-02-06 The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment Lichae, Bijan Hasani Biazar, Jafar Ayati, Zainab Comput Math Methods Med Research Article In this paper, the fractional-order differential model of HIV-1 infection of CD4(+) T-cells with the effect of drug therapy has been introduced. There are three components: uninfected CD4(+) T-cells, x, infected CD4(+) T-cells, y, and density of virions in plasma, z. The aim is to gain numerical solution of this fractional-order HIV-1 model by Laplace Adomian decomposition method (LADM). The solution of the proposed model has been achieved in a series form. Moreover, to illustrate the ability and efficiency of the proposed approach, the solution will be compared with the solutions of some other numerical methods. The Caputo sense has been used for fractional derivatives. Hindawi 2019-01-08 /pmc/articles/PMC6341269/ /pubmed/30728851 http://dx.doi.org/10.1155/2019/4059549 Text en Copyright © 2019 Bijan Hasani Lichae et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lichae, Bijan Hasani
Biazar, Jafar
Ayati, Zainab
The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment
title The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment
title_full The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment
title_fullStr The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment
title_full_unstemmed The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment
title_short The Fractional Differential Model of HIV-1 Infection of CD4(+) T-Cells with Description of the Effect of Antiviral Drug Treatment
title_sort fractional differential model of hiv-1 infection of cd4(+) t-cells with description of the effect of antiviral drug treatment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341269/
https://www.ncbi.nlm.nih.gov/pubmed/30728851
http://dx.doi.org/10.1155/2019/4059549
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