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Dynamics of a Stochastic Epidemic Model with Vaccination and Multiple Time‐Delays for COVID‐19 in the UAE

Hebatallah J. Alsakaji, Fathalla A. Rihan, A. H. Hashish

2022Complexity49 citationsDOIOpen Access PDF

Abstract

In this paper, we study the dynamics of COVID‐19 in the UAE with an extended SEIR epidemic model with vaccination, time‐delays, and random noise. The stationary ergodic distribution of positive solutions is examined, in which the solution fluctuates around the equilibrium of the deterministic case, causing the disease to persist stochastically. It is possible to attain infection‐free status (extinction) in some situations, in which diseases die out exponentially and with a probability of one. The numerical simulations and fit to real observations prove the effectiveness of the theoretical results. Combining stochastic perturbations with time‐delays enhances the dynamics of the model, and white noise intensity is an important part of the treatment of infectious diseases.

Topics & Concepts

Epidemic modelCoronavirus disease 2019 (COVID-19)Stationary distributionErgodic theoryWhite noiseExtinction (optical mineralogy)2019-20 coronavirus outbreakApplied mathematicsNoise (video)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Stochastic modellingMathematicsComputer scienceStatistical physicsInfectious disease (medical specialty)MedicineMarkov chainDiseaseStatisticsVirologyPhysicsMathematical analysisPopulationArtificial intelligenceOpticsImage (mathematics)Environmental healthOutbreakPathologyCOVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology ModelsSARS-CoV-2 and COVID-19 Research