Stability analysis of a fractional ordered COVID-19 model

Meghadri Das, G. P. Samanta

2021Computational and Mathematical Biophysics26 citationsDOI Open Access PDF

Abstract

Abstract The main purpose of this work is to study transmission dynamics of COVID-19 in Italy 2020, where the first case of Coronavirus disease 2019 (COVID-19) in Italy was reported on 31st January 2020. Taking into account the uncertainty due to the limited information about the Coronavirus (COVID-19), we have taken the modified Susceptible-Asymptomatic-Infectious-Recovered (SAIR) compartmental model under fractional order framework. We have formulated our model by subdividing infectious compartment into two sub compartments (reported and unreported) and introduced hospitalized class. In this work, we have studied the local and global stability of the system at different equilibrium points (disease free and endemic) and calculated sensitivity index for Italy scenario. The validity of the model is justified by comparing real data with the results obtained from simulations.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)AsymptomaticSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus2019-20 coronavirus outbreakStability (learning theory)Work (physics)Infectious disease (medical specialty)MathematicsIndex (typography)EconometricsApplied mathematicsStatisticsDiseaseVirologyComputer scienceMedicinePhysicsOutbreakInternal medicineThermodynamicsMachine learningWorld Wide WebFractional Differential Equations SolutionsMathematical and Theoretical Epidemiology and Ecology ModelsCOVID-19 epidemiological studies