| Autor: |
F. Longo, A. N. Gois, M. Lima, Beatriz Laiate, João Frederico da Costa Azevedo Meyer, C. F. D. Kunz, C. C. Espitia |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Trends in Computational and Applied Mathematics, Volume: 22, Issue: 4, Pages: 515-531, Published: 08 NOV 2021 |
| ISSN: |
2676-0029 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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