Different Approaches to the Modelling of COVID-19

J. F. C. A. Meyer; M. Lima; C. C. Espitia; F. Longo; B. Laiate; A. N. Gois; C. F. D. Kunz

doi:10.5540/tcam.2021.022.04.00515

Trends in Computational and Applied Mathematics (Oct 2021)

Different Approaches to the Modelling of COVID-19

J. F. C. A. Meyer,
M. Lima,
C. C. Espitia,
F. Longo,
B. Laiate,
A. N. Gois,
C. F. D. Kunz

Affiliations

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
Journal volume & issue: Vol. 22, no. 4

Abstract

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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.

Published in Trends in Computational and Applied Mathematics

ISSN: 2676-0029 (Online)
Publisher: Sociedade Brasileira de Matemática Aplicada e Computacional
Country of publisher: Brazil
LCC subjects: Science: Mathematics
Website: https://tema.sbmac.org.br/tema

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Abstract

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