Robust trend estimation for COVID-19 in Brazil (2021)
- Authors:
- USP affiliated authors: LAURINI, MARCIO POLETTI - FEARP ; VALENTE, FERNANDA CRISTINA - FEARP
- Unidade: FEARP
- DOI: 10.1016/j.sste.2021.100455
- Subjects: INFERÊNCIA BAYESIANA; COVID-19; EPIDEMIOLOGIA; PANDEMIAS; CORONAVIRUS
- Keywords: Epidemic model; Time series decomposition; Spatio-temporal count process
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Spatial and Spatio-temporal Epidemiology
- ISSN: 1877-5845
- Volume/Número/Paginação/Ano: v. 39, art. 100455, p. 1-20, 2021
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
VALENTE, Fernanda Cristina e LAURINI, Marcio Poletti. Robust trend estimation for COVID-19 in Brazil. Spatial and Spatio-temporal Epidemiology, v. 39, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.sste.2021.100455. Acesso em: 17 nov. 2024. -
APA
Valente, F. C., & Laurini, M. P. (2021). Robust trend estimation for COVID-19 in Brazil. Spatial and Spatio-temporal Epidemiology, 39, 1-20. doi:10.1016/j.sste.2021.100455 -
NLM
Valente FC, Laurini MP. Robust trend estimation for COVID-19 in Brazil [Internet]. Spatial and Spatio-temporal Epidemiology. 2021 ; 39 1-20.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.sste.2021.100455 -
Vancouver
Valente FC, Laurini MP. Robust trend estimation for COVID-19 in Brazil [Internet]. Spatial and Spatio-temporal Epidemiology. 2021 ; 39 1-20.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.sste.2021.100455 - Estimating spatiotemporal patterns of deaths by COVID-19 outbreak on a global scale
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Informações sobre o DOI: 10.1016/j.sste.2021.100455 (Fonte: oaDOI API)
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