Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 Spread

In this paper, we propose a continuous mathematical model that describes the spread of multistrains COVID-19 virus among humans: susceptible, exposed, infected, quarantined, hospitalized, and recovered individuals. The positivity and boundedness of the system solution are provided in order to get th...

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Main Authors: Bouchaib Khajji, Lahoucine Boujallal, Omar Balatif, Mostafa Rachik
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2022/9071890
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author Bouchaib Khajji
Lahoucine Boujallal
Omar Balatif
Mostafa Rachik
author_facet Bouchaib Khajji
Lahoucine Boujallal
Omar Balatif
Mostafa Rachik
author_sort Bouchaib Khajji
collection DOAJ
description In this paper, we propose a continuous mathematical model that describes the spread of multistrains COVID-19 virus among humans: susceptible, exposed, infected, quarantined, hospitalized, and recovered individuals. The positivity and boundedness of the system solution are provided in order to get the well posedness of the proposed model. Secondly, three controls are considered in our model to minimize the multistrain spread of the disease, namely, vaccination, security campaigns, social distancing measures, and diagnosis. Furthermore, the optimal control problem and related optimality conditions of the Pontryagin type are discussed with the objective to minimize the number of infected individuals. Finally, numerical simulations are performed in the case of two strains of COVID-19 and with four control strategies. By using the incremental cost-effectiveness ratio (ICER) method, we show that combining vaccination with diagnosis provides the most cost-effective strategy.
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institution Kabale University
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publishDate 2022-01-01
publisher Wiley
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series Journal of Applied Mathematics
spelling doaj-art-a692d31af1e846f28ba9ab27e0c2cb242025-02-03T01:32:41ZengWileyJournal of Applied Mathematics1687-00422022-01-01202210.1155/2022/9071890Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 SpreadBouchaib Khajji0Lahoucine Boujallal1Omar Balatif2Mostafa Rachik3AMS LaboratoryLMFA LaboratoryDS LaboratoryAMS LaboratoryIn this paper, we propose a continuous mathematical model that describes the spread of multistrains COVID-19 virus among humans: susceptible, exposed, infected, quarantined, hospitalized, and recovered individuals. The positivity and boundedness of the system solution are provided in order to get the well posedness of the proposed model. Secondly, three controls are considered in our model to minimize the multistrain spread of the disease, namely, vaccination, security campaigns, social distancing measures, and diagnosis. Furthermore, the optimal control problem and related optimality conditions of the Pontryagin type are discussed with the objective to minimize the number of infected individuals. Finally, numerical simulations are performed in the case of two strains of COVID-19 and with four control strategies. By using the incremental cost-effectiveness ratio (ICER) method, we show that combining vaccination with diagnosis provides the most cost-effective strategy.http://dx.doi.org/10.1155/2022/9071890
spellingShingle Bouchaib Khajji
Lahoucine Boujallal
Omar Balatif
Mostafa Rachik
Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 Spread
Journal of Applied Mathematics
title Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 Spread
title_full Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 Spread
title_fullStr Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 Spread
title_full_unstemmed Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 Spread
title_short Mathematical Modelling and Optimal Control Strategies of a Multistrain COVID-19 Spread
title_sort mathematical modelling and optimal control strategies of a multistrain covid 19 spread
url http://dx.doi.org/10.1155/2022/9071890
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