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NUMERICAL STUDY FOR FRACTIONAL BI-MODAL 2019-nCOV SITR EPIDEMIC MODEL

Sara Salem Alzaid, R.P. Chauhan, Sunil Kumar, Badr Saad T. Alkahtani

2022Fractals10 citationsDOI

Abstract

Currently, the entire planet is suffering from a contagious epidemic infection, 2019-nCOV due to newly detected coronavirus. This is a lethal infectious virus that has destroyed thousands of lives all over the world. The important aim of this study is to investigate a susceptible-infected-treatment-recovered (SITR) model of coronavirus (2019-nCOV) with bi-modal virus spread in a susceptible population. The considered 2019-nCOV model is analyzed by two fractional derivatives: the Caputo and Atangana–Baleanu–Caputo (ABC). For the Caputo model, we present a few basic mathematical characteristics such as existence, positivity, boundedness and stability result for disease-free equilibria. The fixed-point principle is used to establish the existence and uniqueness conditions for the ABC model solution. We employed the Adams–Bashforth–Moulton (ABM) numerical technique for the Caputo model solution and the Toufik–Atangana (TA) numerical approach for the ABC model solution. Finally, using MATLAB, the simulation results are shown to highlight the impact of arbitrarily chosen fractional-order and model parameters on infection dynamics.

Topics & Concepts

UniquenessEpidemic modelMathematicsApplied mathematicsModalFractional calculusStability (learning theory)Equilibrium pointCoronavirusCoronavirus disease 2019 (COVID-19)Stability theoryPopulationMATLABMathematical analysisComputer scienceDiseasePhysicsDifferential equationInfectious disease (medical specialty)MedicineMachine learningNonlinear systemPolymer chemistryQuantum mechanicsChemistryOperating systemEnvironmental healthPathologyFractional Differential Equations SolutionsMathematical and Theoretical Epidemiology and Ecology ModelsCOVID-19 epidemiological studies