2021
DOI: 10.3390/molecules26061806
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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

Abstract: Human immunodeficiency virus (HIV) is a life life-threatening and serious infection caused by a virus that attacks CD4+ 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 CD4+ T-cells. We formulate frac… Show more

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Cited by 40 publications
(12 citation statements)
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“…Jawaz et al studied a delay epidemic model with diffusion and developed Nonstandard finite difference (NSFD) based scheme to study HIV/AIDS, a delayed reaction-diffusion epidemic model [18]. Iqbal [22,23]. The well-known methods and infectious diseases models are studied in [24][25][26][27][28][29][30][31][32][33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…Jawaz et al studied a delay epidemic model with diffusion and developed Nonstandard finite difference (NSFD) based scheme to study HIV/AIDS, a delayed reaction-diffusion epidemic model [18]. Iqbal [22,23]. The well-known methods and infectious diseases models are studied in [24][25][26][27][28][29][30][31][32][33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…Alzaid et al [30] studied the dynamic of HIV-1 infection by using the mathematical model and showed that the mathematical model is efficient . The fractional order model of HIV with source term was proposed by Shah et al to consider the behavior of CD4 + T-cells which depending on the concentration of the viral load [31]. The symmetry and asymmetry concepts can be linked to the epidemic model [32][33][34].…”
Section: Introductionmentioning
confidence: 99%
“…CD4 + T lymphocytes (CD4 cells), the main target cells of HIV infection, play a central role in immune responses. 12 CD4 cell count reflects the host's defense against pathogens, infections, and diseases, 13 and therefore has a strong association with HIV progression and prognosis. 14 Maintaining sufficient CD4 cells helps to reduce the risk of comorbidity during HIV infection.…”
Section: Introductionmentioning
confidence: 99%