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Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model

Takasar Hussain, Muhammad Ozair, Farhad Ali, Sajid Ur Rehman, Taghreed A. Assiri, Emad E. Mahmoud

2021Results in Physics54 citationsDOIOpen Access PDF

Abstract

It is of great curiosity to observe the effects of prevention methods and the magnitudes of the outbreak including epidemic prediction, at the onset of an epidemic. To deal with COVID-19 Pandemic, an SEIQR model has been designed. Analytical study of the model consists of the calculation of the basic reproduction number and the constant level of disease absent and disease present equilibrium. The model also explores number of cases and the predicted outcomes are in line with the cases registered. By parameters calibration, new cases in Pakistan are also predicted. The number of patients at the current level and the permanent level of COVID-19 cases are also calculated analytically and through simulations. The future situation has also been discussed, which could happen if precautionary restrictions are adopted.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Sensitivity (control systems)Basic reproduction numberPandemicOutbreakEpidemic modelConstant (computer programming)Calibration2019-20 coronavirus outbreakEconometricsStatisticsMathematicsComputer scienceDiseaseDemographyMedicineVirologyInfectious disease (medical specialty)EngineeringPopulationSociologyElectronic engineeringPathologyProgramming languageCOVID-19 epidemiological studiesViral Infections and Outbreaks ResearchSARS-CoV-2 and COVID-19 Research
Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model | Litcius