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...
| 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
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| Acesso em linha: |
http://periodicos.utfpr.edu.br/rts/article/view/13534 |
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