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Fractional dynamics and stability analysis of COVID-19 pandemic model under the harmonic mean type incidence rate

Amir Khan, Rahat Zarin, Saddam Hussain Khan, Anwar Saeed, Taza Gul, Usa Wannasingha Humphries

2021Computer Methods in Biomechanics & Biomedical Engineering40 citationsDOI

Abstract

In this research, COVID-19 model is formulated by incorporating harmonic mean type incidence rate which is more realistic in average speed. Basic reproduction number, equilibrium points, and stability of the proposed model is established under certain conditions. Runge-Kutta fourth order approximation is used to solve the deterministic model. The model is then fractionalized by using Caputo-Fabrizio derivative and the existence and uniqueness of the solution are proved by using Banach and Leray-Schauder alternative type theorems. For the fractional numerical simulations, we use the Adam-Moulton scheme. Sensitivity analysis of the proposed deterministic model is studied to identify those parameters which are highly influential on basic reproduction number.

Topics & Concepts

MathematicsUniquenessEpidemic modelBasic reproduction numberStability (learning theory)Applied mathematicsType (biology)Incidence (geometry)Fractional calculusHarmonic meanHarmonicMathematical analysisComputer scienceStatisticsPhysicsDemographyGeometryQuantum mechanicsPopulationBiologyMachine learningEcologySociologyFractional Differential Equations SolutionsCOVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models