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Updated: Oct 18, 2025

Humanized NOD/SCID/IL2rγnull (hu-NSG) Mouse Model for HIV Replication and Latency Studies
Published on: January 7, 2019
A FRACTIONAL ORDER HIV/AIDS MODEL USING CAPUTO-FABRIZIO OPERATOR
Ebenezar Nkemjika Unaegbu1, Ifeanyi Sunday Onah2, Moses Oladotun Oyesanya2
1Department of Mathematics, Salem University, Lokojaia.
This study introduces a novel fractional order model for HIV/AIDS using the Caputo-Fabrizio operator, demonstrating its stability and predictive accuracy for patient data.
Area of Science:
- Mathematical Biology
- Epidemiology
- Fractional Calculus
Background:
- Human Immunodeficiency Virus (HIV) targets the immune system, leading to Acquired Immunodeficiency Syndrome (AIDS) if untreated.
- HIV/AIDS poses a significant global health challenge, necessitating advanced modeling techniques for understanding disease dynamics.
Purpose of the Study:
- To develop and analyze a fractional order mathematical model for HIV/AIDS dynamics.
- To investigate the existence and uniqueness of solutions for the proposed HIV/AIDS model.
- To explore the application of the Caputo-Fabrizio operator in epidemiological modeling.
Main Methods:
- Employed fixed-point theory to establish the existence and uniqueness of solutions.
- Utilized the Caputo-Fabrizio fractional derivative operator, a non-conventional approach for biological models.
- Applied the iterative Laplace transform method to analyze model stability.
Main Results:
- The model exhibits two equilibrium points: disease-free and endemic.
- Conditions for the existence of the endemic equilibrium point were determined.
- The disease-free equilibrium point was proven to be locally asymptotically stable.
- The model's stability was confirmed through numerical simulations and the iterative Laplace transform method.
Conclusions:
- The fractional order HIV/AIDS model with the Caputo-Fabrizio operator offers enhanced precision and adaptability for patient data.
- Numerical simulations align with analytical results, highlighting the model's robustness.
- Fractional order derivatives provide advantages over classical approaches for analyzing HIV/AIDS dynamics, enabling better predictions.
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