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Fractional Dynamics of HIV with Source Term for the Supply of New CD4(+) T-Cells Depending on the Viral Load via Caputo–Fabrizio Derivative

Human immunodeficiency virus (HIV) is a life life-threatening and serious infection caused by a virus that attacks [Formula: see text] T-cells, which fight against infections and make a person susceptible to other diseases. It is a global public health problem with no cure; therefore, it is highly i...

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Detalles Bibliográficos
Autores principales: Shah, Zahir, Jan, Rashid, Kumam, Poom, Deebani, Wejdan, Shutaywi, Meshal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005034/
https://www.ncbi.nlm.nih.gov/pubmed/33806939
http://dx.doi.org/10.3390/molecules26061806
Descripción
Sumario:Human immunodeficiency virus (HIV) is a life life-threatening and serious infection caused by a virus that attacks [Formula: see text] T-cells, which fight against infections and make a person susceptible to other diseases. It is a global public health problem with no cure; therefore, it is highly important to study and understand the intricate phenomena of HIV. In this article, we focus on the numerical study of the path-tracking damped oscillatory behavior of a model for the HIV infection of [Formula: see text] T-cells. We formulate fractional dynamics of HIV with a source term for the supply of new CD4(+) T-cells depending on the viral load via the Caputo–Fabrizio derivative. In the formulation of fractional HIV dynamics, we replaced the constant source term for the supply of new [Formula: see text] T-cells from the thymus with a variable source term depending on the concentration of the viral load, and introduced a term that describes the incidence of the HIV infection of [Formula: see text] T-cells. We present a novel numerical scheme for fractional view analysis of the proposed model to highlight the solution pathway of HIV. We inspect the periodic and chaotic behavior of HIV for the given values of input factors using numerical simulations.