ReP USP - Resultado da busca

Filtros : "MODELOS (ANÁLISE MULTIVARIADA)" "Chiaravalloti Neto, Francisco" Limpar

Filtros

USP affiliated authors
- chiaravalloti neto, francisco (~2)
- baquero, oswaldo santos (~1)
Date published
- 2018 (~2)
Subjects
- fatores de risco (2)
- modelos (análise multivariada) (2)
- dengue (1)
- vírus chikungunya (1)
- vírus da dengue (1)

Artigo de periodico
Potential risks of Zika and chikungunya outbreaks in Brazil: a modeling study (2018)
Aguiar, Breno Souza de; Lorenz, Camila; Virginio, Flávia; Suesdek, Lincoln; Chiaravalloti Neto, Francisco
Source: International Journal of Infectious Diseases. Unidade: FSP
Subjects: ZIKA VÍRUS, VÍRUS CHIKUNGUNYA, FATORES DE RISCO, MODELOS (ANÁLISE MULTIVARIADA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR, Breno Souza de et al. Potential risks of Zika and chikungunya outbreaks in Brazil: a modeling study. International Journal of Infectious Diseases, v. 70, p. 20-29, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijid.2018.02.007. Acesso em: 04 out. 2024.
APA
Aguiar, B. S. de, Lorenz, C., Virginio, F., Suesdek, L., & Chiaravalloti Neto, F. (2018). Potential risks of Zika and chikungunya outbreaks in Brazil: a modeling study. International Journal of Infectious Diseases, 70, 20-29. doi:10.1016/j.ijid.2018.02.007
NLM
Aguiar BS de, Lorenz C, Virginio F, Suesdek L, Chiaravalloti Neto F. Potential risks of Zika and chikungunya outbreaks in Brazil: a modeling study [Internet]. International Journal of Infectious Diseases. 2018 ; 70 20-29.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ijid.2018.02.007
Vancouver
Aguiar BS de, Lorenz C, Virginio F, Suesdek L, Chiaravalloti Neto F. Potential risks of Zika and chikungunya outbreaks in Brazil: a modeling study [Internet]. International Journal of Infectious Diseases. 2018 ; 70 20-29.[citado 2024 out. 04 ] Available from: https://doi.org/10.1016/j.ijid.2018.02.007
Artigo de periodico
Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models (2018)
Baquero, Oswaldo Santos ; Santana, Lidia Maria Reis; Chiaravalloti Neto, Francisco
Source: PLOS ONE. Unidades: FMVZ, FSP
Subjects: DENGUE, VÍRUS DA DENGUE, MODELOS (ANÁLISE MULTIVARIADA), FATORES DE RISCO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 out. 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.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 2024 out. 04 ] 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 2024 out. 04 ] Available from: https://doi.org/10.1371/journal.pone.0195065

Digital Library of Intellectual Production of Universidade de São Paulo 2012 - 2024