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Mathematical Models and Computer Simulations

Erschienen in:

01.04.2023

On the Modeling of COVID-19 Spread via Fractional Derivative: A Stochastic Approach

verfasst von: E. Bonyah, M. L. Juga, L. M. Matsebula, C. W. Chukwu

Erschienen in: Mathematical Models and Computer Simulations | Ausgabe 2/2023

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Abstract

The coronavirus disease (COVID-19) pandemic has caused more harm than expected in developed and developing countries. In this work, a fractional stochastic model of COVID-19 which takes into account the random nature of the spread of disease, is formulated and analyzed. The existence and uniqueness of solutions were established using the fixed-point theory. Two different fractional operators’, namely, power-law and Mittag–Leffler function, numerical schemes in the stochastic form, are utilized to obtain numerical simulations to support the theoretical results. It is observed that the fractional order derivative has effect on the dynamics of the spread of the disease.

Vorheriger Artikel Stability Analysis of a Bacterial Meningitis Model with Saturated Incidence and Treatment Default

Nächster Artikel Transient MHD Free Convection Flow, Heat and Mass Transfer in Darcy–Forchheimer Porous Medium in the Presence of Chemical Reaction and Heat Absorption with Soret and Dufour Effects: Element-Free Galerkin Modelling

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Titel: On the Modeling of COVID-19 Spread via Fractional Derivative: A Stochastic Approach
verfasst von: E. Bonyah
M. L. Juga
L. M. Matsebula
C. W. Chukwu
Publikationsdatum: 01.04.2023
Verlag: Pleiades Publishing
Erschienen in: Mathematical Models and Computer Simulations / Ausgabe 2/2023
Print ISSN: 2070-0482
Elektronische ISSN: 2070-0490
DOI: https://doi.org/10.1134/S2070048223020023

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