Predictions
ID
Lang
Model name
Repository
Description
Cornell PEH - NegBinom Baseline model
Validation 2 (NegBinom Baseline model)
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
UERJ-SARIMAX-2025-2
Validation test 1 for UF=RR (UERJ-SARIMAX-2025-2)
Modelo fourier-gravidade
Prediction Validation test 3 in MG
Modelo fourier-gravidade
Prediction Validation test 3 in SP
UERJ-SARIMAX-2025-2
Validation test 2 for UF=PR (UERJ-SARIMAX-2025-2)
Chronos-Bolt
Validation set 3 for SP using Chronos-Bolt
Cornell PEH - NegBinom Baseline
Validation 2 (Cornell PEH - NegBinom Baseline model). Authored by Tijs W. Alleman & Ana I. Bento.
UERJ-SARIMAX-2025-2
Validation test 1 for UF=BA (UERJ-SARIMAX-2025-2)
Chronos-Bolt
Validation set 3 for MA using Chronos-Bolt
UERJ-SARIMAX-2025-2
Validation test 3 for UF=ES (UERJ-SARIMAX-2025-2)
UERJ-SARIMAX-2025-2
Validation test 3 for UF=PR (UERJ-SARIMAX-2025-2)
UERJ-SARIMAX-2025-2
Validation test 3 for UF=SE (UERJ-SARIMAX-2025-2)
UERJ-SARIMAX-2025-2
Validation test 2 for UF=DF (UERJ-SARIMAX-2025-2)
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state PA.
LNCC-CLiDENGO-2025-1
Validation test 3 for UF=MS (LNCC-CLiDENGO model)
infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model
infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model Prediction on ES_info_dengue_2024_2025
UERJ-SARIMAX-2025-2
Validation test 2 for UF=TO (UERJ-SARIMAX-2025-2)
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202525
Cornell PEH - NegBinom Baseline model
Validation 1 (NegBinom Baseline model)
LSTM model for Infodengue Sprint
Predictions for 2024 in PA using the baseline architecture
LSTM model for Infodengue Sprint
Predictions for 2025 in MT using the att architecture
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
LSTM model for Infodengue Sprint
Predictions for 2025 in AM using the comb_att architecture
3054 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=60&per_page=30&
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