A Multi-step Differential Transform Approach for a Nonlinear Fractional COVID–19 Pandemic Model
Author:
Affiliation:
1. American University of Sharjah,Department of Mathematics and Statistics,Sharjah,U.A.E
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10152864/10153152/10153267.pdf?arnumber=10153267
Reference30 articles.
1. A New Mathematical Modeling of the COVID-19 Pandemic Including the Vaccination Campaign
2. Fractional Model and Numerical Algorithms for Predicting COVID-19 with Isolation and Quarantine Strategies;hamou;Journal of Computational and Applied Mathematics,2021
3. Identification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach
4. An adaptive social distancing SIR model for COVID-19 disease spreading and forecasting
5. A multi-step differential transform method and application to non-chaotic or chaotic systems
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