Predictions
ID
Lang
Model name
Repository
Description
LSTM model for Infodengue Sprint
Predictions for 2023 in PA using the comb_att_n architecture
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (CE)
LSTM model for Infodengue Sprint
Predictions for 2023 in SP using the baseline architecture
Model 2 - Weekly and yearly (rw1) components
The model is founded on a structural decomposition designed for modeling counting series, employing a Poisson distribution. The log intensity is defined by the sum of weekly and yearly components, where the first one is defined as a AR(1) process and the last one follows a RW(1) process.
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2111300 entre 2022-01-01 e 2023-01-01 usando apenas os dados de todos as cidades clusterizadas com 2111300 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 2927408
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2704302 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2704302 como input
Deep learning model using BI-LSTM Layers
Forecast de novos casos para o geocode 2211001 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode e das cidades clusterizadas com ele
LSTM model for Infodengue Sprint
Predictions for 2024 in AL using the baseline architecture
Deep learning model using BI-LSTM Layers
Forecast de novos casos para o geocode 2211001 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode 2211001
Deep learning model using BI-LSTM Layers
Forecast de novos casos para o geocode 2408102 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode 2408102
LSTM model for Infodengue Sprint
Predictions for 2023 in SE using the baseline architecture
Temp-SPI Interaction Model
2024/25 forecast for three-way interaction model (MS)
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2304400 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2304400 como input
Temp-SPI Interaction Model
2024/25 forecast for three-way interaction model (RJ)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (GO)
LSTM model for Infodengue Sprint
Predictions for 2023 in RO using the comb_att_n architecture
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2507507 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2507507 como input
LSTM model for Infodengue Sprint
Predictions for 2023 in PI using the baseline architecture
LaCiD/UFRN
Dengue predictions for GO using Validation Test 1
3054 predictions
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