Baquero, Oswaldo Santos 
; Santana, Lidia Maria Reis; Chiaravalloti Neto, Francisco
Fonte: PLOS ONE. Unidades: FMVZ, FSP
Assuntos: DENGUE, VÍRUS DA DENGUE, MODELOS (ANÁLISE MULTIVARIADA), FATORES DE RISCO
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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: 26 ago. 2024.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.0195065NLM
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 2024 ago. 26 ] Available from: https://doi.org/10.1371/journal.pone.0195065Vancouver
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 2024 ago. 26 ] Available from: https://doi.org/10.1371/journal.pone.0195065
