Time delayed fractional diabetes mellitus model and consistent numerical algorithm

The diabetes mellitus model (DMM) is explored in this study. Many health issues are caused by this disease. For this reason, the integer order DMM is converted into the time delayed fractional order model by fitting the fractional order Caputo differential operator and delay factor in the model. It is proved that the generalized model has the advantage of a unique solution for every time t. Moreover, every solution of the system is positive and bounded. Two equilibrium states of the fractional model are worked out i.e. disease free equilibrium state and the endemic equilibrium state. The risk factor indicator, R<sub>0</sub> is computed for the system. The stability analysis is carried out for the underlying system at both the equilibrium states. The key role of R<sub>0</sub> is investigated for the disease dynamics and stability of the system. The hybridized finite difference numerical method is formulated for obtaining the numerical solutions of the delayed fractional DMM. The physical features of the numerical method are examined. Simulated graphs are presented to assess the biological behavior of the numerical method. Lastly, the outcomes of the study are furnished in the conclusion section.

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Publication Details

Journal
Scientific Reports
Published
2024-10-12
DOI
https://doi.org/10.1038/s41598-024-74767-w
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.40

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article

Time delayed fractional diabetes mellitus model and consistent numerical algorithm

Zafar Iqbal, Muhammad Rafiq, Mudassar Rafique, Ilyas Khan et al.
1 citations
Scientific Reports
Fractional Differential Equations Solutions
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article

Time delayed fractional diabetes mellitus model and consistent numerical algorithm

Zafar Iqbal, Muhammad Rafiq, Mudassar Rafique, Ilyas Khan, Nauman Ahmed, Shafiullah Niazai, Hadil Alhazmi, Muhammad Aziz Ur Rehamn
article en
1 citations

Abstract

The diabetes mellitus model (DMM) is explored in this study. Many health issues are caused by this disease. For this reason, the integer order DMM is converted into the time delayed fractional order model by fitting the fractional order Caputo differential operator and delay factor in the model. It is proved that the generalized model has the advantage of a unique solution for every time t. Moreover, every solution of the system is positive and bounded. Two equilibrium states of the fractional model are worked out i.e. disease free equilibrium state and the endemic equilibrium state. The risk factor indicator, R<sub>0</sub> is computed for the system. The stability analysis is carried out for the underlying system at both the equilibrium states. The key role of R<sub>0</sub> is investigated for the disease dynamics and stability of the system. The hybridized finite difference numerical method is formulated for obtaining the numerical solutions of the delayed fractional DMM. The physical features of the numerical method are examined. Simulated graphs are presented to assess the biological behavior of the numerical method. Lastly, the outcomes of the study are furnished in the conclusion section.

Scientific ReportsVol. 14(1)
Princess Nourah bint Abdulrahman University (SA), University of Lahore (PK), University of Central Punjab (PK), Majmaah University (SA), Lebanese American University (LB), University of Management and Technology (PK)
Princess Nourah Bint Abdulrahman University, Majmaah University
Openalex Percentile: Top 40%
Fractional Differential Equations Solutions
0.40
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Time delayed fractional diabetes mellitus model and consistent numerical algorithm — Zafar Iqbal, Muhammad Rafiq, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS