A robust study on 2019-nCOV outbreaks through non-singular derivative

• Published in: European physical journal plus Vol. 136; no. 2; p. 168
• Main Authors: Khan, Muhammad Altaf, Ullah, Saif, Kumar, Sunil
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021; Springer Nature B.V
• Subjects: Applied and Technical Physics; Atomic; Complex Systems; Condensed Matter Physics; Coronaviruses; COVID-19; Disease control; Disease spread; Disease transmission; Epidemics; Infections; Infectious diseases; Iterative methods; Liapunov functions; Mathematical and Computational Physics; Mathematical models; Molecular; Numerical models; Optical and Plasma Physics; Pandemics; Pharmaceuticals; Physics; Physics and Astronomy; Regular; Regular Article; Robustness (mathematics); Theoretical; Viral diseases; Viral infections; Viruses; Wuhan China; China
• ISSN: 2190-5444; 2190-5444
• DOI: 10.1140/epjp/s13360-021-01159-8

The new coronavirus disease is still a major panic for people all over the world. The world is grappling with the second wave of this new pandemic. Different approaches are taken into consideration to tackle this deadly disease. These approaches were suggested in the form of modeling, analysis of the data, controlling the disease spread and clinical perspectives. In all these suggested approaches, the main aim was to eliminate or decrease the infection of the coronavirus from the community. Here, in this paper, we focus on developing a new mathematical model to understand its dynamics and possible control. We formulate the model first in the integer order and then use the Atangana–Baleanu derivative concept with a non-singular kernel for its generalization. We present some of the necessary mathematical aspects of the fractional model. We use a nonlinear fractional Lyapunov function in order to present the global asymptotical stability of the model at the disease-free equilibrium. In order to solve the model numerically in the fractional case, we use an efficient modified Adams–Bashforth scheme. The resulting iterative scheme is then used to demonstrate the detailed simulation results of the ABC mathematical model to examine the importance of the memory index and model parameters on the transmission and control of COVID-19 infection.