Work

Investigation of nonstandard finite difference for fractional order Covid-19 model

Year: 2025

Type: article

Abstract: This 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.

Source: GAZI UNIVERSITY JOURNAL OF SCIENCE

DOI: 10.35378/gujs.1456440

Authors: Mehmet Merdan, Pınar Açıkgöz

Institution: Gümüşhane University

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4409837942

FWCI: 1.653

Cites: 44

Cited by: 2

Related to: 10