The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg" display="inline" id="d1e268"><mml:mi>Θ</mml:mi></mml:math>-Hilfer fractional order model for the optimal control of the dynamics of Hepatitis B virus transmission

This study examines the mathematical model of Hepatitis B Virus (HBV) dynamics, focusing on its various stages of infection, including acute and chronic phases, and transmission pathways. By utilizing mathematical modeling and fractional calculus techniques with the Θ -Hilfer operator, we analyze the epidemic’s behavior. The research proposes control strategies, such as treatment and vaccination, aimed at reducing both acute and chronic infections. To achieve optimal control, we employ Pontryagin’s Maximum Principle. Through simulations, we demonstrate the effectiveness of our approach using the Non-Standard Two-Step Lagrange Interpolation Method (NS2LIM), supported by numerical findings and graphical representations. Additionally, we identify two control variables to minimize the populations of acute and chronic infections while enhancing recovery rates.

Authors

Institutions

Publication Details

Journal
Results in Control and Optimization
Published
2024-11-19
DOI
https://doi.org/10.1016/j.rico.2024.100496
Citations
2
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.79

Funders

Controls
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article

The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg" display="inline" id="d1e268"><mml:mi>Θ</mml:mi></mml:math>-Hilfer fractional order model for the optimal control of the dynamics of Hepatitis B virus transmission

Suliman Alsaeed, Kottakkaran Sooppy Nisar, K. Ramalakshmi, Baskar Sundaravadivoo
2 citations
Results in Control and Optimization
Fractional Differential Equations Solutions
0.79
article

The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg" display="inline" id="d1e268"><mml:mi>Θ</mml:mi></mml:math>-Hilfer fractional order model for the optimal control of the dynamics of Hepatitis B virus transmission

Suliman Alsaeed, Kottakkaran Sooppy Nisar, K. Ramalakshmi, Baskar Sundaravadivoo
article en
2 citations

Abstract

This study examines the mathematical model of Hepatitis B Virus (HBV) dynamics, focusing on its various stages of infection, including acute and chronic phases, and transmission pathways. By utilizing mathematical modeling and fractional calculus techniques with the Θ -Hilfer operator, we analyze the epidemic’s behavior. The research proposes control strategies, such as treatment and vaccination, aimed at reducing both acute and chronic infections. To achieve optimal control, we employ Pontryagin’s Maximum Principle. Through simulations, we demonstrate the effectiveness of our approach using the Non-Standard Two-Step Lagrange Interpolation Method (NS2LIM), supported by numerical findings and graphical representations. Additionally, we identify two control variables to minimize the populations of acute and chronic infections while enhancing recovery rates.

Results in Control and OptimizationVol. 17
Central University of Tamil Nadu (IN), Alagappa University (IN), Prince Sattam Bin Abdulaziz University (SA), Umm al-Qura University (SA), Saveetha University (IN)
Prince Sattam bin Abdulaziz University
Good health and well-being
Openalex Percentile: Top 29%
Fractional Differential Equations Solutions
0.79
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The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg" display="inline" id="d1e268"><mml:mi>Θ</mml:mi></mml:math>-Hilfer fractional order model for the optimal control of the dynamics of Hepatitis B virus transmission — Suliman Alsaeed, Kottakkaran Sooppy Nisar, et al. · Results in Control and Optimization (2024) | TGRS Research Map | TGRS