Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco
dc.contributor.author | Hamou, Abdelouahed Alla | |
dc.contributor.author | Rasul, Rando R. Q. | |
dc.contributor.author | Hammouch, Zakia | |
dc.contributor.author | Özdemir, Necati | |
dc.date.accessioned | 2023-08-17T08:39:55Z | |
dc.date.available | 2023-08-17T08:39:55Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.issn | 2238-3603 / 1807-0302 | |
dc.identifier.uri | https://doi.org/10.1007/s40314-022-01990-4 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12462/13287 | |
dc.description | Özdemir, Necati (Balikesir Author) | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer Heidelberg | en_US |
dc.relation.isversionof | 10.1007/s40314-022-01990-4 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Unreported COVID-19 Cases | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | SEIRD Epidemic Model | en_US |
dc.subject | Epidemiology | en_US |
dc.subject | Least Squares Method | en_US |
dc.subject | Parameter Estimation | en_US |
dc.title | Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Morocco | en_US |
dc.type | article | en_US |
dc.relation.journal | Computational and Applied Mathematics | en_US |
dc.contributor.department | Fen Edebiyat Fakültesi | en_US |
dc.contributor.authorID | 0000-0001-7480-0148 | en_US |
dc.contributor.authorID | 0000-0002-6339-1868 | en_US |
dc.identifier.volume | 41 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.endpage | 33 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
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