Analysis of a COVID-19 compartmental model: a mathematical and computational approach.
Math Biosci Eng
; 18(6): 7979-7998, 2021 09 14.
Article
em En
| MEDLINE
| ID: mdl-34814285
ABSTRACT
In this note, we consider a compartmental epidemic mathematical model given by a system of differential equations. We provide a complete toolkit for performing both a symbolic and numerical analysis of the spreading of COVID-19. By using the free and open-source programming language Python and the mathematical software SageMath, we contribute for the reproducibility of the mathematical analysis of the stability of the equilibrium points of epidemic models and their fitting to real data. The mathematical tools and codes can be adapted to a wide range of mathematical epidemic models.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
COVID-19
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Math Biosci Eng
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Portugal