Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil's COVID-19 data

This paper reports a broad study using epidemic-related counting data of COVID-19 disease caused by the novel coronavirus (SARS-CoV-2). The considered dataset refers to Brazil's daily and accumulated counts of reported cases and deaths in a fixed period (from January 22 to June 16, 2020). For t...

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Principais autores: De Oliveira, Ricardo Puziol, Achcar, Jorge Alberto, Bertoli, Wesley, Mazucheli, Josmar, Miranda, Yara Campos
Formato: Artigo
Idioma: Inglês
Publicado em: Universidade Tecnológica Federal do Paraná (UTFPR) 2022
Acesso em linha: http://periodicos.utfpr.edu.br/rts/article/view/13534
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