Modeling the Impact of the Imperfect Vaccination of the COVID-19 with Optimal Containment Strategy

Axioms

卷:11

Abdessamad Tridane¹  Lahbib Benahmadi²  Mustapha Lhous²  Omar Zakary³  Mostafa Rachik³ 

[1] Department of Mathematical Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates;

[2] Fundamental and Applied Mathematics Laboratory, Department of Mathematics and Computer Science, Faculty of Sciences Ain Chock, Hassan II University of Casablanca, Maarif B.P 5366, Casablanca 20100, Morocco;

[3] Laboratory of Analysis Modelling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’sik, Hassan II University of Casablanca, Sidi Othman Casablanca B.P 7955, Casablanca 20100, Morocco;

关键词: COVID-19;    vaccination;    basic reproduction number;    stability;    Lyapunov function;    optimal control;   

DOI  :  10.3390/axioms11030124

来源: DOAJ

【 摘 要 】

Since the beginning of the COVID-19 pandemic, vaccination has been the main strategy to contain the spread of the coronavirus. However, with the administration of many types of vaccines and the constant mutation of viruses, the issue of how effective these vaccines are in protecting the population is raised. This work aimed to present a mathematical model that investigates the imperfect vaccine and finds the additional measures needed to help reduce the burden of disease. We determine the ${\mathcal{R}}_0$ threshold of disease spread and use stability analysis to determine the condition that will result in disease eradication. We also fitted our model to COVID-19 data from Morocco to estimate the parameters of the model. The sensitivity analysis of the basic reproduction number, with respect to the parameters of the model, is simulated for the four possible scenarios of the disease progress. Finally, we investigate the optimal containment measures that could be implemented with vaccination. To illustrate our results, we perform the numerical simulations of optimal control.

【 授权许可】

Unknown