Modeling COVID-19 Pandemic Outbreak using Fractional-Order Systems

Recently, many nonlinear systems have been proposed to introduce the population dynamics of COVID-19. In this paper, we extend different physical conditions of the growth by employing fractional calculus. We propose a new fractional-order version for one of recently forms of the SEIR model. This version, which is established in view of the Caputo fractional-order differential operator, is numerically solved based on the Generalized Euler Method (GEM). Several numerical results reveal the impact of the fractional-order values on the established disease model. To help make a decline in the total of individuals infected by such pandemic, a new compartment is added to the proposed model;namely, the disease prevention compartment that includes the use of face masks, gloves and sterilizers. In view of such modification, it turned out that the performed addition to the fractional-order COVID-19 model yields a significant improvement in reducing the risk of COVID-19 spread. [ABSTRACT FROM AUTHOR] Copyright of International Journal of Mathematics & Computer Science is the property of Badih/Ghusayni, Ed. & Pub. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)