Browsing by Author "Pinto, Carla M. A."

Now showing 1 - 4 of 4

Citation - WoS: 2
Citation - Scopus: 3
Editorial Note on the Special Issue: "fractional Calculus Models for the Dynamics of Complex Systems
(Elsevier, 2021) Kumar, Devendra; Pinto, Carla M. A.; Baleanu, Dumitru; Sweilam, Nasser H.
Citation - WoS: 12
Citation - Scopus: 14
Efficacy of the Post-Exposure Prophylaxis and of the Hiv Latent Reservoir in Hiv Infection
(Mdpi, 2019) Carvalho, Ana R. M.; Baleanu, Dumitru; Srivastava, Hari M.; Pinto, Carla M. A.; M. Carvalho, Ana R.
We propose a fractional order model to study the efficacy of the Post-Exposure Prophylaxis (PEP) in human immunodeficiency virus (HIV) within-host dynamics, in the presence of the HIV latent reservoir. Latent reservoirs harbor infected cells that contain a transcriptionally silent but reactivatable provirus. The latter constitutes a major difficulty to the eradication of HIV in infected patients. PEP is used as a way to prevent HIV infection after a recent possible exposure to HIV. It consists of the in-take of antiretroviral drugs for, usually, 28 days. In this study, we focus on the dosage and dosage intervals of antiretroviral therapy (ART) during PEP and in the role of the latent reservoir in HIV infected patients. We thus simulate the model for immunologically important parameters concerning the drugs and the fraction of latently infected cells. The results may add important information to clinical practice of HIV infected patients.
Citation - WoS: 84
Citation - Scopus: 98
Hiv/Hcv Coinfection Model: a Fractional-Order Perspective for the Effect of the Hiv Viral Load
(Springer international Publishing Ag, 2018) Pinto, Carla M. A.; Baleanu, Dumitru; Carvalho, Ana R. M.
We study the burden of the HIV viremia and of treatment efficacy in the severity of the patterns of the HIV/HCV coinfection. For this, we derive a simple non-integer-order (fractional-order) model for the coinfection dynamics. Fractional-order models have been proved in the literature to provide good fits to real data from patients suffering from several diseases, such as HIV, dengue fever, and others. We have computed the basic reproduction number and the stability of the disease-free equilibrium of the model. The numerical results suggest that the HIV viral load impacts impressively the severity of the HCV infection. The treatment efficacy is also found to influence the natural progression of HCV on the HIV/HCV coinfection. The latter is repeated for all values of the order of the fractional derivative. Moreover, the fractional derivative may pave the way to better understanding the individuals' patients' adjustments to treatment and to viremia.
Introduction to the Special Issue on Mathematical Aspects of Computational Biology and Bioinformatics-I
(Tech Science Press, 2023) Baleanu, Dumitru; Pinto, Carla M. A.; Kumar, Sunil