Litcius/Paper detail

Approximate Solution of the Fractional Order Mathematical Model on the Transmission Dynamics on The Co-Infection of COVID-19 and Monkeypox Using the Laplace-Adomian Decomposition Method

Godwin Onuche Acheneje, David Omale, Benedict Celestine Agbata, William Atokolo, M.M Shior, Abiola Bolarinwa

2024International Journal of Mathematics and Statistics Studies17 citationsDOIOpen Access PDF

Abstract

A fractional order compartmental model on the transmission dynamics of the co-infection of COVID-19 and Monkeypox is presented. The approximate solutions of the fractional order model are obtained using the Laplace-Adomian Decomposition method in the form of an infinite series which was shown to converge to the exact value. Using the MATLAB fmincon algorithm, we carried out a data fitting analysis using real life COVID-19 and Monkeypox data so as to obtain estimates for some of the key parameters used in the formulation of model. The results of our analysis showed that an increase in the effective treatment capacity in the human population will significantly reduce the burden of these diseases in the human population.

Topics & Concepts

Laplace transformAdomian decomposition methodMathematicsCoronavirus disease 2019 (COVID-19)Dynamics (music)Order (exchange)Applied mathematicsTransmission (telecommunications)Mathematical analysisPhysicsComputer scienceDifferential equationMedicineTelecommunicationsAcousticsEconomicsPathologyDiseaseInfectious disease (medical specialty)FinanceFractional Differential Equations SolutionsCOVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research
Approximate Solution of the Fractional Order Mathematical Model on the Transmission Dynamics on The Co-Infection of COVID-19 and Monkeypox Using the Laplace-Adomian Decomposition Method | Litcius