Stochastic differential equation model of Covid-19: Case study of Pakistan
Amine El Koufi, Nouhaila El Koufi
Abstract
In recent years, the world lived a horrible nightmare named the Covid-19 pandemic. It's changing lifestyle caused the closure of critical establishments like schools, sports halls, companies, etc., as well as causing damage and menace for humanity. Mathematical models are helpful tools for modeling and analysing the infectious disease transmission This article presents a stochastic model of the Covid-19 epidemic for a population with five compartments. We give a numerical analysis of the proposed stochastic model. Also, we compare it with results of the corresponding deterministic model.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Epidemic modelPandemicClosure (psychology)Stochastic modellingNightmarePopulationDisease transmission2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)HumanityEconometricsApplied mathematicsInfectious disease (medical specialty)Statistical physicsMathematicsGeographyVirologySociologyPhysicsDemographyPolitical scienceDiseaseStatisticsOutbreakMedicineLawPsychiatryPathologyCOVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology ModelsFractional Differential Equations Solutions