2026-10-23T17:51:02Zhttps://gumushane-rdlopen.rawdatalibrary.net/oai/request

oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/124642026-10-22T11:35:27Zopenairedrivercom_gumushane_10000col_gumushane_10001com_gumushane_10007col_gumushane_10171

Investigation of Nonstandard Finite Difference for Fractional Order Covid-19 ModelMerdan, MehmetAcikgoz, PınarCaputo fractional derivativeCovid 19 modelFractional order nonstandard finite differenceGrünwald-LetnikovThis article examines a mathematical model of the Covid-19 type. We demonstrate how the population is impacted by immigration, protection, the mortality, exposure, curing, and interactions between sick and healthy individuals. There are five classifications in our model: exposed, susceptible, infected, quarantined, and recovered. The model is subjected to numerical and fractional analysis in this instance. The numerical analysis is performed using the fractional order non-standard finite difference (NSFD) scheme. The Grunwald-Letnikov numerical approximation technique is used for fractional analysis. The findings are evaluated by simulations using the Matlab tool.Gazi Universitesi2025Articlehttps://rdlopen.rawdatalibrary.net/r/gumushane/12464https://doi.org/10.35378/gujs.14564402147-1762enGazi University Journal of Scienceinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/12464