TY - JOUR
T1 - New model of HIV-AIDS dynamics based on the Caputo–Fabrizio derivative
T2 - Optimal strategies for controlling the spread
AU - Madani, Nassira
AU - Hammouch, Zakia
AU - Azroul, EL Houssine
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/8
Y1 - 2025/8
N2 - The goal of this study is to introduce a new model to better understand the spread of HIV/AIDS, with a particular focus on individuals who are unaware of their infection status. We propose and analyze a new Caputo–Fabrizio fractional model, examining its local stability around the equilibrium point using the abdicate method tailored for Caputo–Fabrizio derivatives. To assess global stability, we employ linear matrix inequalities (LMI). Furthermore, we formulate a fractional optimal control problem to identify effective strategies for controlling the disease. Numerical simulations are conducted to confirm the stability of the equilibrium and to demonstrate the behavior of the proposed solutions.
AB - The goal of this study is to introduce a new model to better understand the spread of HIV/AIDS, with a particular focus on individuals who are unaware of their infection status. We propose and analyze a new Caputo–Fabrizio fractional model, examining its local stability around the equilibrium point using the abdicate method tailored for Caputo–Fabrizio derivatives. To assess global stability, we employ linear matrix inequalities (LMI). Furthermore, we formulate a fractional optimal control problem to identify effective strategies for controlling the disease. Numerical simulations are conducted to confirm the stability of the equilibrium and to demonstrate the behavior of the proposed solutions.
KW - Basic reproduction number
KW - Caputo–Fabrizio derivative
KW - HIV/AIDS
KW - Sensitivity analysis
KW - Stability analysis
UR - https://www.scopus.com/pages/publications/105007598835
U2 - 10.1016/j.jocs.2025.102612
DO - 10.1016/j.jocs.2025.102612
M3 - Article
AN - SCOPUS:105007598835
SN - 1877-7503
VL - 90
JO - Journal of Computational Science
JF - Journal of Computational Science
M1 - 102612
ER -