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Numerical Simulation for a Hybrid Variable-Order Multi-Vaccination COVID-19 Mathematical Model
Symmetry ; 15(4):869, 2023.
Article in English | ProQuest Central | ID: covidwho-2304442
ABSTRACT
In this paper, a hybrid variable-order mathematical model for multi-vaccination COVID-19 is analyzed. The hybrid variable-order derivative is defined as a linear combination of the variable-order integral of Riemann–Liouville and the variable-order Caputo derivative. A symmetry parameter σ is presented in order to be consistent with the physical model problem. The existence, uniqueness, boundedness and positivity of the proposed model are given. Moreover, the stability of the proposed model is discussed. The theta finite difference method with the discretization of the hybrid variable-order operator is developed for solving numerically the model problem. This method can be explicit or fully implicit with a large stability region depending on values of the factor Θ. The convergence and stability analysis of the proposed method are proved. Moreover, the fourth order generalized Runge–Kutta method is also used to study the proposed model. Comparative studies and numerical examples are presented. We found that the proposed model is also more general than the model in the previous study;the results obtained by the proposed method are more stable than previous research in this area.
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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Topics: Vaccines Language: English Journal: Symmetry Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Topics: Vaccines Language: English Journal: Symmetry Year: 2023 Document Type: Article