Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey.

Özköse, Fatma; Yavuz, Mehmet

Özköse, Fatma; Yavuz, Mehmet.

Afiliação

Özköse F; Department of Mathematics, Faculty of Science, Erciyes University, Kayseri, Turkey. Electronic address: fpeker@erciyes.edu.tr.
Yavuz M; Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, TR10, Cornwall, UK; Department of Mathematics and Computer Sciences, Necmettin Erbakan University, 42090, Konya, Turkey. Electronic address: M.Yavuz@exeter.ac.uk.

Comput Biol Med ; 141: 105044, 2022 02.

Article em En | MEDLINE | ID: mdl-34839902

Assuntos

COVID-19; Diabetes Mellitus; Humanos; Pandemias; SARS-CoV-2; Turquia/epidemiologia

Palavras-chave

Adams-Bashforth-Moulton scheme; COVID-19 epidemic model; Diabetes; Fractional derivative; Memory trace; Parameter estimation; Sensitivity analysis; Stability analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Comput Biol Med Ano de publicação: 2022 Tipo de documento: Article

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