Predictions
ID
Lang
Model name
Repository
Description
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2611606 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2611606 como input
Deep learning model using BI-LSTM Layers
Forecast de novos casos para o geocode 2927408 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode e das cidades clusterizadas com ele
Univariate neural prophet model
Forecast de novos casos para o geocode 2611606 entre 2022-01-01 e 2023-07-02
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (AC)
Univariate neural prophet model
Forecast de novos casos para o geocode 2507507 entre 2022-01-01 e 2023-07-02
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 3106200 entre 2022-01-01 e 2023-01-01 usando apenas os dados de todos as cidades clusterizadas com 3106200 como input
Deep learning model using BI-LSTM Layers
Forecast de novos casos para o geocode 2611606 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode 2611606
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2211001 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2211001 como input
LSTM model for Infodengue Sprint
Predictions for 2025 in BA using the baseline architecture
LNCC-CLiDENGO-2025-1
Validation test 3 for UF=RO (LNCC-CLiDENGO model)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (MA)
Univariate neural prophet model
Forecast de novos casos para o geocode 3106200 entre 2022-01-01 e 2023-07-02
LSTM model for Infodengue Sprint
Predictions for 2023 in AP using the comb_att_n architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in PB using the baseline architecture
LNCC-CLiDENGO-2025-1
Validation test 3 for UF=TO (LNCC-CLiDENGO model)
LaCiD/UFRN
Dengue predictions for AM using Validation Test 3
LSTM model for Infodengue Sprint
Predictions for 2023 in MS using the att_3 architecture
LSTM model for Infodengue Sprint
Predictions for 2024 in MA using the baseline architecture
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (RR)
LaCiD/UFRN
Dengue predictions for CE using Validation Test 1
LSTM model for Infodengue Sprint
Predictions for 2024 in RR using the comb_att_n architecture
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202519
LSTM model for Infodengue Sprint
Predictions for 2024 in BA using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in RR using the comb_att_n architecture
3054 predictions
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