Mathematical models and simulations of different scenarios of COVID-19 in Brazil

 

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Detalles Bibliográficos
Autores: Lima, Marina, Silva, Anny, Meyer, João Frederico
Formato: artículo original
Estado:Versión publicada
Fecha de Publicación:2023
Descripción:In this paper, we develop successive mathematical models for describing the first and second waves of COVID-19 in Brazil, including the origi[1]nal strain, the two variants with the highest circulation (Gamma and Delta variants) and population vaccination. We started with a a simple initial model and using mathematical modelling techniques and the Heaviside step function, we improved it according to the necessities of describing the disease’s behaviour, both considering the new variants or vaccination. In all cases, we performed computer simulations and compared the obtained curve with real data from the active cases, which reinforced the model’s efficiency in describing the behaviour of the pandemic and highlighted the importance of population vaccination in describing the dynam[1]ics of the infections and reducing cases.
País:Portal de Revistas UCR
Institución:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Lenguaje:Inglés
OAI Identifier:oai:portal.ucr.ac.cr:article/50566
Acceso en línea:https://revistas.ucr.ac.cr/index.php/matematica/article/view/50566
Palabra clave:COVID-19
Modelación matemática
Variantes de SARS-CoV-2
Epidemiología matemática
Sistemas no lineales de EDO
Mathematical modelling
SARS-CoV-2 variants
Mathematical epidemiology
Nonlinear systems of ODEs