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Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model

In this paper, we present a fractional-order mathematical model in the Caputo sense to investigate the significance of vaccines in controlling COVID-19. The Banach contraction mapping principle is used to prove the existence and uniqueness of the solution. Based on the magnitude of the basic reprodu...

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Detalles Bibliográficos
Autores principales: Baba, Isa Abdullahi, Humphries, Usa Wannasingha, Rihan, Fathalla A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861806/
https://www.ncbi.nlm.nih.gov/pubmed/36679990
http://dx.doi.org/10.3390/vaccines11010145
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author Baba, Isa Abdullahi
Humphries, Usa Wannasingha
Rihan, Fathalla A.
author_facet Baba, Isa Abdullahi
Humphries, Usa Wannasingha
Rihan, Fathalla A.
author_sort Baba, Isa Abdullahi
collection PubMed
description In this paper, we present a fractional-order mathematical model in the Caputo sense to investigate the significance of vaccines in controlling COVID-19. The Banach contraction mapping principle is used to prove the existence and uniqueness of the solution. Based on the magnitude of the basic reproduction number, we show that the model consists of two equilibrium solutions that are stable. The disease-free and endemic equilibrium points are locally stably when [Formula: see text] and [Formula: see text] respectively. We perform numerical simulations, with the significance of the vaccine clearly shown. The changes that occur due to the variation of the fractional order [Formula: see text] are also shown. The model has been validated by fitting it to four months of real COVID-19 infection data in Thailand. Predictions for a longer period are provided by the model, which provides a good fit for the data.
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spelling pubmed-98618062023-01-22 Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model Baba, Isa Abdullahi Humphries, Usa Wannasingha Rihan, Fathalla A. Vaccines (Basel) Article In this paper, we present a fractional-order mathematical model in the Caputo sense to investigate the significance of vaccines in controlling COVID-19. The Banach contraction mapping principle is used to prove the existence and uniqueness of the solution. Based on the magnitude of the basic reproduction number, we show that the model consists of two equilibrium solutions that are stable. The disease-free and endemic equilibrium points are locally stably when [Formula: see text] and [Formula: see text] respectively. We perform numerical simulations, with the significance of the vaccine clearly shown. The changes that occur due to the variation of the fractional order [Formula: see text] are also shown. The model has been validated by fitting it to four months of real COVID-19 infection data in Thailand. Predictions for a longer period are provided by the model, which provides a good fit for the data. MDPI 2023-01-09 /pmc/articles/PMC9861806/ /pubmed/36679990 http://dx.doi.org/10.3390/vaccines11010145 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Baba, Isa Abdullahi
Humphries, Usa Wannasingha
Rihan, Fathalla A.
Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model
title Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model
title_full Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model
title_fullStr Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model
title_full_unstemmed Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model
title_short Role of Vaccines in Controlling the Spread of COVID-19: A Fractional-Order Model
title_sort role of vaccines in controlling the spread of covid-19: a fractional-order model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861806/
https://www.ncbi.nlm.nih.gov/pubmed/36679990
http://dx.doi.org/10.3390/vaccines11010145
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