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...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Scientific reports Ročník 14; číslo 1; s. 23871 - 17
Hlavní autori: Rafique, Mudassar, Ur Rehamn, Muhammad Aziz, Rafiq, Muhammad, Iqbal, Zafar, Ahmed, Nauman, Alhazmi, Hadil, Niazai, Shafiullah, Khan, Ilyas
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 12.10.2024
Nature Publishing Group
Nature Portfolio
Predmet:
639/4077
692/699
Algorithms
Computer Simulation
Diabetes
Diabetes Mellitus
Equilibrium
Fractional time delayed differential equation
GL non-standard finite difference schemes
Global stability
Humanities and Social Sciences
Humans
LaSalle principal
Mathematical models
Models, Biological
Models, Theoretical
multidisciplinary
Numerical analysis
Risk factors
Science
Science (multidisciplinary)
Stability analysis
Time Factors
Volterra type Lyapunov function
GL non-standard finite difference schemes
Fractional time delayed differential equation
Global stability
Volterra type Lyapunov function
LaSalle principal
ISSN:2045-2322, 2045-2322
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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 0 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 0 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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-74767-w