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1.
Advances and Applications in Statistics ; 78:29-61, 2022.
Article in English | Web of Science | ID: covidwho-2327622

ABSTRACT

In this article, we investigate the dynamics of COVID-19 with a new approach of piecewise global derivative in the sense of singular and non-singular kernels. The singular kernel operator is a Caputo derivative, whereas the non-singular operator is an Atangana-Baleanu Caputo operator. The said problem is investigated for the existence and uniqueness of a solution with a piecewise derivative. The approximate solution to the proposed problem has been obtained by the piecewise numerical iterative technique of Newton polynomials. The numerical scheme for piecewise derivatives in the sense of singular and non-singular kernels is also developed. The numerical simulation for the considered piecewise derivable problem has been drawn up against the available data for different fractional orders. This will be useful for easy understanding of the concept of piecewise global derivatives and the crossover problem dynamics.

2.
Advances and Applications in Statistics ; 81:23-52, 2022.
Article in English | Web of Science | ID: covidwho-2327621

ABSTRACT

Today's world is suffering from a disease known as the Corona Virus (COVID-19). Since this virus has turned into a pandemic at a global level, it is required to investigate the virus and its related attributes to anticipate future outbreaks and also to make strategies for its control through mathematical models. In this article, we perform a comparative analysis of the model using the Atangana-Baleanu and Yang-Abdel-Cattani fractional derivative operators with the help of Sumudu transform. We also compute the numerical results with graphical representation to show the behavior of the operators.

3.
Cmes-Computer Modeling in Engineering & Sciences ; 0(0):1-17, 2023.
Article in English | Web of Science | ID: covidwho-2307177

ABSTRACT

This paper presents a restricted SIR mathematical model to analyze the evolution of a contagious infectious disease outbreak (COVID-19) using available data. The new model focuses on two main concepts: first, it can present multiple waves of the disease, and second, it analyzes how far an infection can be eradicated with the help of vaccination. The stability analysis of the equilibrium points for the suggested model is initially investigated by identifying the matching equilibrium points and examining their stability. The basic reproduction number is calculated, and the positivity of the solutions is established. Numerical simulations are performed to determine if it is multipeak and evaluate vaccination's effects. In addition, the proposed model is compared to the literature already published and the effectiveness of vaccination has been recorded.

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