Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12252
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dc.contributor.authorUçar, Denizen_US
dc.contributor.authorÇelik, Elçinen_US
dc.date.accessioned2022-08-03T11:02:29Z-
dc.date.available2022-08-03T11:02:29Z-
dc.date.issued2022-
dc.identifier.urihttps://doi.org/10.3934/math.2022626-
dc.identifier.urihttps://hdl.handle.net/11147/12252-
dc.description.abstractCovid 19 emerged in Wuhan, China in December 2019 has continued to spread by affecting the whole world. The pandemic has affected over 328 million people with more than 5 million deaths in over 200 countries which has severely disrupted the healthcare system and halted economies of the countries. The aim of this study is to discuss the numerical solution of the SIR model on the spread of Covid 19 by the Taylor matrix and collocation method for Turkey. Predicting COVID-19 through appropriate models can help us to understand the potential spread in the population so that appropriate action can be taken to prevent further transmission and prepare health systems for medical management of the disease. We deal with Susceptible–Infected–Recovered (SIR) model. One of the proposed model’s improvements is to reflect the societal feedback on the disease and confinement features. We obtain the time dependent rate of transmission of the disease from susceptible β(t) and the rate of recovery from infectious to recovered γ using Turkey epidemic data. We apply the Taylor matrix and collocation method to the SIR model with γ, β(t) and Covid 19 data of Turkey from the date of the first case March 11, 2020 through July 3, 2021. Using this method, we focus on the evolution of the Covid 19 in Turkey. We also show the estimates with the help of graphics and Maple.en_US
dc.language.isoenen_US
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.relation.ispartofAIMS Mathematicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCollocation pointsen_US
dc.subjectCOVID-19en_US
dc.subjectNonlinear differential equationen_US
dc.subjectTaylor polynomialsen_US
dc.titleAnalysis of Covid 19 disease with SIR model and Taylor matrix methoden_US
dc.typeArticleen_US
dc.authorid0000-0003-4145-6074en_US
dc.institutionauthorÇelik, Elçinen_US
dc.departmentİzmir Institute of Technology. Mathematicsen_US
dc.identifier.wosWOS:000788060600003en_US
dc.identifier.scopus2-s2.0-85128158662en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.3934/math.2022626-
dc.contributor.affiliationUşak Üniversitesien_US
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.relation.issn2473-6988en_US
dc.description.volume7en_US
dc.description.issue6en_US
dc.description.startpage11188en_US
dc.description.endpage11200en_US
dc.identifier.scopusqualityQ2-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.author.dept01. Izmir Institute of Technology-
Appears in Collections:Mathematics / Matematik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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