Literature DB >> 33623733

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

Takasar Hussain1, Muhammad Ozair1, Farhad Ali2, Sajid Ur Rehman2, Taghreed A Assiri3, Emad E Mahmoud4.   

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.
© 2021 The Authors.

Entities:  

Keywords:  COVID-19; COVID-19 forecasting; Parameters estimation; SIR mathematical model

Year:  2021        PMID: 33623733      PMCID: PMC7889458          DOI: 10.1016/j.rinp.2021.103956

Source DB:  PubMed          Journal:  Results Phys        ISSN: 2211-3797            Impact factor:   4.476


  27 in total

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