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

dc.authorid0000-0001-7480-0148en_US
dc.authorid0000-0002-6339-1868en_US
dc.contributor.authorHamou, Abdelouahed Alla
dc.contributor.authorRasul, Rando R. Q.
dc.contributor.authorHammouch, Zakia
dc.contributor.authorÖzdemir, Necati
dc.date.accessioned2023-08-17T08:39:55Z
dc.date.available2023-08-17T08:39:55Z
dc.date.issued2022en_US
dc.departmentFakülteler, Fen-Edebiyat Fakültesi, Matematik Bölümüen_US
dc.descriptionÖzdemir, Necati (Balikesir Author)en_US
dc.description.abstractIn 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.identifier.doi10.1007/s40314-022-01990-4
dc.identifier.endpage33en_US
dc.identifier.issn2238-3603
dc.identifier.issn1807-0302
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85137032434
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1007/s40314-022-01990-4
dc.identifier.urihttps://hdl.handle.net/20.500.12462/13287
dc.identifier.volume41en_US
dc.identifier.wosWOS:000842158100003
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofComputational and Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectUnreported COVID-19 Casesen_US
dc.subjectSARS-CoV-2en_US
dc.subjectSEIRD Epidemic Modelen_US
dc.subjectEpidemiologyen_US
dc.subjectLeast Squares Methoden_US
dc.subjectParameter Estimationen_US
dc.titleAnalysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in Moroccoen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket

Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
necati-ozdemir12.pdf
Boyut:
1.64 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text

Lisans paketi

Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: