Mathematical Model for Coronavirus Disease 2019 (COVID-19) Containing Isolation Class.

Autor: Zeb A; Department of Mathematics, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Khyber Pakhtunkhwa, Pakistan., Alzahrani E; Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia., Erturk VS; Department of Mathematics, Faculty of Arts and Sciences, Ondokuz Mayis University, 55139 Samsun, Turkey., Zaman G; Department of Mathematics, University of Malakand, Chakdara 18000, Dir (Lower), Khyber Pakhtunkhwa, Pakistan.
Jazyk: angličtina
Zdroj: BioMed research international [Biomed Res Int] 2020 Jun 25; Vol. 2020, pp. 3452402. Date of Electronic Publication: 2020 Jun 25 (Print Publication: 2020).
DOI: 10.1155/2020/3452402
Abstrakt: The deadly coronavirus continues to spread across the globe, and mathematical models can be used to show suspected, recovered, and deceased coronavirus patients, as well as how many people have been tested. Researchers still do not know definitively whether surviving a COVID-19 infection means you gain long-lasting immunity and, if so, for how long? In order to understand, we think that this study may lead to better guessing the spread of this pandemic in future. We develop a mathematical model to present the dynamical behavior of COVID-19 infection by incorporating isolation class. First, the formulation of model is proposed; then, positivity of the model is discussed. The local stability and global stability of proposed model are presented, which depended on the basic reproductive. For the numerical solution of the proposed model, the nonstandard finite difference (NSFD) scheme and Runge-Kutta fourth order method are used. Finally, some graphical results are presented. Our findings show that human to human contact is the potential cause of outbreaks of COVID-19. Therefore, isolation of the infected human overall can reduce the risk of future COVID-19 spread.
Competing Interests: The authors declare that there is no conflict of interest regarding the publication of this paper.
(Copyright © 2020 Anwar Zeb et al.)
Databáze: MEDLINE
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