A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence rates

This study investigates a mathematical model encompassing both HIV-1 and HIV-2 epidemics, with a focus on drug resistance and dual saturated incidence rates. We begin by analyzing the local stability of equilibrium points in the deterministic system using Routh-Hurwitz and Jacobian matrix approaches...

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Main Authors: El Mehdi Farah, Youssra Hajri, Taghreed A. Assiri, Saida Amine, Shabir Ahmad, Manuel De la Sen
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682300964X
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author El Mehdi Farah
Youssra Hajri
Taghreed A. Assiri
Saida Amine
Shabir Ahmad
Manuel De la Sen
author_facet El Mehdi Farah
Youssra Hajri
Taghreed A. Assiri
Saida Amine
Shabir Ahmad
Manuel De la Sen
author_sort El Mehdi Farah
collection DOAJ
description This study investigates a mathematical model encompassing both HIV-1 and HIV-2 epidemics, with a focus on drug resistance and dual saturated incidence rates. We begin by analyzing the local stability of equilibrium points in the deterministic system using Routh-Hurwitz and Jacobian matrix approaches. Furthermore, we establish the existence of a global positive solution for our model. We identify specific parameter conditions that lead to disease extinction. Additionally, we explore the persistence of HIV-1 and HIV-2 infections by examining their mean values. To assess the practical implications of our theoretical analysis, we conduct graphical evaluations under various noise disturbances, employing Milstein's Higher Order Method. This research contributes to a deeper understanding of the dynamics of HIV-1 and HIV-2 co-infection, with potential implications for treatment strategies and disease management.
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spelling doaj.art-c52faf969fb94c3eb9e092fbb4d62e832023-12-07T05:27:54ZengElsevierAlexandria Engineering Journal1110-01682023-12-01842436A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence ratesEl Mehdi Farah0Youssra Hajri1Taghreed A. Assiri2Saida Amine3Shabir Ahmad4Manuel De la Sen5Laboratory of Mathematics, Computer Science and Applications, Faculty of Sciences and Technologies, Hassan II University of Casablanca, PO Box 146, 20650 Mohammedia, MoroccoLaboratory of Mathematics, Computer Science and Applications, Faculty of Sciences and Technologies, Hassan II University of Casablanca, PO Box 146, 20650 Mohammedia, MoroccoMathematics Department, Faculty of Sciences, Umm Al-Qura University, Makkah, Saudi ArabiaLaboratory of Mathematics, Computer Science and Applications, Faculty of Sciences and Technologies, Hassan II University of Casablanca, PO Box 146, 20650 Mohammedia, MoroccoDepartment of Mathematics, University of Malakand, Chakdara, Dir Lower, Khyber Pakhtunkhwa, Pakistan; Corresponding author.Department of Electricity and Electronics, Institute of Research and Development of Processes, Faculty of Science and Technology, Campus of Leioa (Bizkaia), University of the Basque Country, 48940 Leioa, SpainThis study investigates a mathematical model encompassing both HIV-1 and HIV-2 epidemics, with a focus on drug resistance and dual saturated incidence rates. We begin by analyzing the local stability of equilibrium points in the deterministic system using Routh-Hurwitz and Jacobian matrix approaches. Furthermore, we establish the existence of a global positive solution for our model. We identify specific parameter conditions that lead to disease extinction. Additionally, we explore the persistence of HIV-1 and HIV-2 infections by examining their mean values. To assess the practical implications of our theoretical analysis, we conduct graphical evaluations under various noise disturbances, employing Milstein's Higher Order Method. This research contributes to a deeper understanding of the dynamics of HIV-1 and HIV-2 co-infection, with potential implications for treatment strategies and disease management.http://www.sciencedirect.com/science/article/pii/S111001682300964XHIV-1HIV-2Local stabilityItô's formulaPermanence in meanMilstein's numerical method
spellingShingle El Mehdi Farah
Youssra Hajri
Taghreed A. Assiri
Saida Amine
Shabir Ahmad
Manuel De la Sen
A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence rates
Alexandria Engineering Journal
HIV-1
HIV-2
Local stability
Itô's formula
Permanence in mean
Milstein's numerical method
title A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence rates
title_full A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence rates
title_fullStr A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence rates
title_full_unstemmed A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence rates
title_short A stochastic co-infection model for HIV-1 and HIV-2 epidemic incorporating drug resistance and dual saturated incidence rates
title_sort stochastic co infection model for hiv 1 and hiv 2 epidemic incorporating drug resistance and dual saturated incidence rates
topic HIV-1
HIV-2
Local stability
Itô's formula
Permanence in mean
Milstein's numerical method
url http://www.sciencedirect.com/science/article/pii/S111001682300964X
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