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Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco

In December 2019, in Wuhan, China, a new disease was detected, and the virus easily spread throughout other nations. March 2, 2020, Morocco announced 1st infection of coronavirus. Morocco verified a total of 653,286 cases, 582,692 recovered, 60,579 active case, and 10,015 as confirmatory fatalities,...

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Autores principales: Hamou, Abdelouahed Alla, Rasul, Rando R. Q., Hammouch, Zakia, Özdemir, Necati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392512/
http://dx.doi.org/10.1007/s40314-022-01990-4
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author Hamou, Abdelouahed Alla
Rasul, Rando R. Q.
Hammouch, Zakia
Özdemir, Necati
author_facet Hamou, Abdelouahed Alla
Rasul, Rando R. Q.
Hammouch, Zakia
Özdemir, Necati
author_sort Hamou, Abdelouahed Alla
collection PubMed
description In December 2019, in Wuhan, China, a new disease was detected, and the virus easily spread throughout other nations. March 2, 2020, Morocco announced 1st infection of coronavirus. Morocco verified a total of 653,286 cases, 582,692 recovered, 60,579 active case, and 10,015 as confirmatory fatalities, as of 4 August 2021. The objective of this article is to study the mathematical modeling of undetected cases of the novel coronavirus in Morocco. The model is shown to have disease-free and an endemic equilibrium point. We have discussed the local and global stability of these equilibria. The parameters of the model and undiscovered instances of COVID-19 were assessed by the least squares approach in Morocco and have been eliminated. We utilized a Matlab tool to show developments in undiscovered instances in Morocco and to validate predicted outcomes. Like results, until August 4, 2021, the total number of infected cases of COVID-19 in Morocco is 24,663,240, including 653,286 confirmed cases, against 24,009,954 undetected. Further, our approach gives a good approximation of the actual COVID-19 data from Morocco and will be used to estimate the undetected cases of COVID-19 in other countries of the world and to study other pandemics that have the same nature of spread as COVID-19.
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spelling pubmed-93925122022-08-22 Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco Hamou, Abdelouahed Alla Rasul, Rando R. Q. Hammouch, Zakia Özdemir, Necati Comp. Appl. Math. Article In December 2019, in Wuhan, China, a new disease was detected, and the virus easily spread throughout other nations. March 2, 2020, Morocco announced 1st infection of coronavirus. Morocco verified a total of 653,286 cases, 582,692 recovered, 60,579 active case, and 10,015 as confirmatory fatalities, as of 4 August 2021. The objective of this article is to study the mathematical modeling of undetected cases of the novel coronavirus in Morocco. The model is shown to have disease-free and an endemic equilibrium point. We have discussed the local and global stability of these equilibria. The parameters of the model and undiscovered instances of COVID-19 were assessed by the least squares approach in Morocco and have been eliminated. We utilized a Matlab tool to show developments in undiscovered instances in Morocco and to validate predicted outcomes. Like results, until August 4, 2021, the total number of infected cases of COVID-19 in Morocco is 24,663,240, including 653,286 confirmed cases, against 24,009,954 undetected. Further, our approach gives a good approximation of the actual COVID-19 data from Morocco and will be used to estimate the undetected cases of COVID-19 in other countries of the world and to study other pandemics that have the same nature of spread as COVID-19. Springer International Publishing 2022-08-20 2022 /pmc/articles/PMC9392512/ http://dx.doi.org/10.1007/s40314-022-01990-4 Text en © The Author(s) under exclusive licence to Sociedade Brasileira de Matemática Aplicada e Computacional 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Hamou, Abdelouahed Alla
Rasul, Rando R. Q.
Hammouch, Zakia
Özdemir, Necati
Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco
title Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco
title_full Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco
title_fullStr Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco
title_full_unstemmed Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco
title_short Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco
title_sort analysis and dynamics of a mathematical model to predict unreported cases of covid-19 epidemic in morocco
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392512/
http://dx.doi.org/10.1007/s40314-022-01990-4
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