Predictions
ID
Lang
Model name
Repository
Description
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
LaCiD/UFRN
Dengue predictions for MA using Validation Test 2
LNCC-CLiDENGO-2025-1
Validation test 3 for UF=CE (LNCC-CLiDENGO model)
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
Cornell PEH - NegBinom Baseline model
Validation 1 (NegBinom Baseline model)
ISI_Dengue_Model
2024-25 Dengue Forecast for Rio de Janeiro
LaCiD/UFRN
Dengue predictions for GO using Validation Test 2
LaCiD/UFRN
Dengue predictions for TO using Validation Test 3
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
LSTM model for Infodengue Sprint
Predictions for 2025 in GO using the att_3 architecture
Cornell PEH - NegBinom Baseline model
Validation 2 (NegBinom Baseline model)
Chronos-Bolt
Validation set 1 for AP using Chronos-Bolt
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
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.
Chronos-Bolt
Validation set 3 for AP using Chronos-Bolt
Chronos-Bolt
Validation set 3 for GO using Chronos-Bolt
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state PB.
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
LNCC-CLiDENGO-2025-1
Validation test 3 for UF=BA (LNCC-CLiDENGO model)
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state PI.
3054 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=93&per_page=30&
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