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Malavika, B., Marimuthu, S., Joy, M., Nadaraj, A., Asirvatham, E.S. and Jeyaseelan, L. (2021) Forecasting COVID-19 Epidemic in India and High Incidence States Using SIR and Logistic Growth Models. Clinical Epidemiology and Global Health, 9, 26-33.
https://doi.org/10.1016/j.cegh.2020.06.006

has been cited by the following article:

• TITLE: Establishment of a Fractional Order COVID-19 Model and Its Feasibility Analysis

  AUTHORS: Rong Kang, Tianzeng Li, Yu Zhao

  KEYWORDS: Grid Approximation Method, COVID-19, Infectious Disease Model, Fractional-Order Derivative

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.10, October 18, 2024

  ABSTRACT: This paper investigates an improved SIR model for COVID-19 based on the Caputo fractional derivative. Firstly, the properties of the model are studied, including the feasible domain and bounded solutions of the system. Secondly, the stability of the system is discussed, among other things. Then, the GMMP method is introduced to obtain numerical solutions for the COVID-19 system. Numerical simulations were conducted using MATLAB, and the results indicate that our model is valuable for studying virus transmission.