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A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia
In this work, we develop and analyze a nonautonomous mathematical model for the spread of the new corona-virus disease (COVID-19) in Saudi Arabia. The model includes eight time-dependent compartments: the dynamics of low-risk [Formula: see text] and high-risk [Formula: see text] susceptible individu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119235/ https://www.ncbi.nlm.nih.gov/pubmed/34007264 http://dx.doi.org/10.1186/s13662-021-03410-z |
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author | Bachar, Mostafa Khamsi, Mohamed A. Bounkhel, Messaoud |
author_facet | Bachar, Mostafa Khamsi, Mohamed A. Bounkhel, Messaoud |
author_sort | Bachar, Mostafa |
collection | PubMed |
description | In this work, we develop and analyze a nonautonomous mathematical model for the spread of the new corona-virus disease (COVID-19) in Saudi Arabia. The model includes eight time-dependent compartments: the dynamics of low-risk [Formula: see text] and high-risk [Formula: see text] susceptible individuals; the compartment of exposed individuals E; the compartment of infected individuals (divided into two compartments, namely those of infected undiagnosed individuals [Formula: see text] and the one consisting of infected diagnosed individuals [Formula: see text] ); the compartment of recovered undiagnosed individuals [Formula: see text] , that of recovered diagnosed [Formula: see text] individuals, and the compartment of extinct Ex individuals. We investigate the persistence and the local stability including the reproduction number of the model, taking into account the control measures imposed by the authorities. We perform a parameter estimation over a short period of the total duration of the pandemic based on the COVID-19 epidemiological data, including the number of infected, recovered, and extinct individuals, in different time episodes of the COVID-19 spread. |
format | Online Article Text |
id | pubmed-8119235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-81192352021-05-14 A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia Bachar, Mostafa Khamsi, Mohamed A. Bounkhel, Messaoud Adv Differ Equ Research In this work, we develop and analyze a nonautonomous mathematical model for the spread of the new corona-virus disease (COVID-19) in Saudi Arabia. The model includes eight time-dependent compartments: the dynamics of low-risk [Formula: see text] and high-risk [Formula: see text] susceptible individuals; the compartment of exposed individuals E; the compartment of infected individuals (divided into two compartments, namely those of infected undiagnosed individuals [Formula: see text] and the one consisting of infected diagnosed individuals [Formula: see text] ); the compartment of recovered undiagnosed individuals [Formula: see text] , that of recovered diagnosed [Formula: see text] individuals, and the compartment of extinct Ex individuals. We investigate the persistence and the local stability including the reproduction number of the model, taking into account the control measures imposed by the authorities. We perform a parameter estimation over a short period of the total duration of the pandemic based on the COVID-19 epidemiological data, including the number of infected, recovered, and extinct individuals, in different time episodes of the COVID-19 spread. Springer International Publishing 2021-05-14 2021 /pmc/articles/PMC8119235/ /pubmed/34007264 http://dx.doi.org/10.1186/s13662-021-03410-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Bachar, Mostafa Khamsi, Mohamed A. Bounkhel, Messaoud A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia |
title | A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia |
title_full | A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia |
title_fullStr | A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia |
title_full_unstemmed | A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia |
title_short | A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia |
title_sort | mathematical model for the spread of covid-19 and control mechanisms in saudi arabia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119235/ https://www.ncbi.nlm.nih.gov/pubmed/34007264 http://dx.doi.org/10.1186/s13662-021-03410-z |
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