Predictions
ID
Lang
Model name
Repository
Description
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
Model 1 - Weekly and yearly (iid) 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 is assumed to be iid.
Cornell PEH - NegBinom Baseline model
Validation 3 (NegBinom Baseline model)
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202508
LaCiD/UFRN
Dengue predictions for AP using Validation Test 3
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
Cornell PEH - NegBinom Baseline model
Validation 2 (NegBinom Baseline model)
Cornell PEH - NegBinom Baseline model
Validation 1 (NegBinom Baseline model)
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
LaCiD/UFRN
Dengue predictions for BA using Validation Test 2
LNCC-CLiDENGO-2025-1
Validation test 3 for UF=AM (LNCC-CLiDENGO model)
LaCiD/UFRN
Dengue predictions for SC using Validation Test 3
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for validation test 2 in the state RS.
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
3054 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=95&per_page=30&
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