Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models (2018)
- Authors:
- USP affiliated authors: BAQUERO, OSWALDO SANTOS - FMVZ ; CHIARAVALLOTI NETO, FRANCISCO - FSP
- Unidades: FMVZ; FSP
- DOI: 10.1371/journal.pone.0195065
- Subjects: DENGUE; VÍRUS DA DENGUE; MODELOS (ANÁLISE MULTIVARIADA); FATORES DE RISCO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco, CA
- Date published: 2018
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
BAQUERO, Oswaldo Santos e SANTANA, Lidia Maria Reis e CHIARAVALLOTI-NETO, Francisco. Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models. PLOS ONE, v. 13, n. 4, p. e0195065 [12 ], 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0195065. Acesso em: 30 dez. 2025. -
APA
Baquero, O. S., Santana, L. M. R., & Chiaravalloti-Neto, F. (2018). Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models. PLOS ONE, 13( 4), e0195065 [12 ]. doi:10.1371/journal.pone.0195065 -
NLM
Baquero OS, Santana LMR, Chiaravalloti-Neto F. Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models [Internet]. PLOS ONE. 2018 ; 13( 4): e0195065 [12 ].[citado 2025 dez. 30 ] Available from: https://doi.org/10.1371/journal.pone.0195065 -
Vancouver
Baquero OS, Santana LMR, Chiaravalloti-Neto F. Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models [Internet]. PLOS ONE. 2018 ; 13( 4): e0195065 [12 ].[citado 2025 dez. 30 ] Available from: https://doi.org/10.1371/journal.pone.0195065 - Low socioeconomic condition and the risk of dengue fever: a direct relationship
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Informações sobre o DOI: 10.1371/journal.pone.0195065 (Fonte: oaDOI API)
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