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dc.contributor.authorEroğlu, Emre
dc.contributor.authorEsenpınar, Aliye Aslı
dc.contributor.authorÇiçek, Muhammed
dc.contributor.authorTek, Süleyman
dc.date.accessioned2021-12-12T17:01:37Z
dc.date.available2021-12-12T17:01:37Z
dc.date.issued2020
dc.identifier.issn1018-4619
dc.identifier.issn1610-2304
dc.identifier.urihttps://hdl.handle.net/20.500.11857/3247
dc.description.abstractThe SIR (susceptible-infected-recovered) Epidemic Model has been utilized effectively in the struggle against past pandemics and has been useful. One can find a discussion here on six Mediterranean countries to support states' fight against the COVID-19 pandemic. The model, which consists of three separate autonomous differential equations, can grant estimations of infected individuals, the future of the pandemic, and predictions for vaccination. The paper estimates the number of infected individuals with a relatively low error rate. While determining the condition of the pandemic with the aid of the (Basic) Reproduction Number (R-0), it creates scenarios about vaccination with the Herd Immune Threshold (H-t) coefficient. The conclusions belong to the struggle of the Mediterranean Basin countries Albania, Israel, Algeria, France, Tunisia, and Morocco.en_US
dc.language.isoengen_US
dc.publisherParlar Scientific Publications (P S P)en_US
dc.relation.ispartofFresenius Environmental Bulletinen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMathematical modelingen_US
dc.subjectSIR epidemic modelen_US
dc.subjectCOVID-19en_US
dc.titleSIR MATHEMATICAL MODEL AND ESTIMATING OF COVID-19 EPIDEMIC SPREADINGen_US
dc.typearticle
dc.departmentFakülteler, Fen-Edebiyat Fakültesi, Matematik Bölümü
dc.identifier.volume29en_US
dc.identifier.startpage9204en_US
dc.identifier.issue10en_US
dc.identifier.endpage9210en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.wosWOS:000588493600050en_US


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