Different Approaches to the Modelling of COVID-19

Authors

  • J. F. C. A. Meyer Department of Applied Mathematics, IMECC, University of Campinas
  • M. Lima Department of Applied Mathematics, IMECC, University of Campinas
  • C. C. Espitia Department of Applied Mathematics, IMECC, University of Campinas
  • F. Longo Department of Applied Mathematics, IMECC, University of Campinas
  • B. Laiate Department of Applied Mathematics, IMECC, University of Campinas
  • A. N. Gois Federal Institute of Alagoas, Campus Piranhas, Av. Sergipe, S/N, Piranhas, AL
  • C. F. D. Kunz Frankfurt Institute for Advanced Studies, Goethe University Frankfurt

DOI:

https://doi.org/10.5540/tcam.2021.022.04.00515

Keywords:

COVID-19, Mathematical Modelling, Basic Reproductive Number, Mathematical Epidemiology, Nonlinear Systems of ODE.

Abstract

In this paper some innovative aspects of the mathematical modelling of classic epidemiology problems for the study of models related to the COVID-19 pandemic dynamics are presented. In addition, they are compared to real-world data using numerical methods in order to approximate the solutions. One of these models includes a non-transmitting compartment and another one, a delay-differential equation in the SIR-type method. Finally, a comparative discussion of the results is also presented.

 

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Published

2021-10-26

How to Cite

Meyer, J. F. C. A., Lima, M., Espitia, C. C., Longo, F., Laiate, B., Gois, A. N., & Kunz, C. F. D. (2021). Different Approaches to the Modelling of COVID-19. Trends in Computational and Applied Mathematics, 22(4), 515–531. https://doi.org/10.5540/tcam.2021.022.04.00515

Issue

Vol. 22 No. 4 (2021)

Section

Original Article

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