Predictions
ID
Lang
Model name
Repository
Description
Chronos-Bolt
Prediction of Season 25-26 for PR using Chronos-Bolt
Dengue oracle - M2
Validation test 2 for sprint 2025 preds in MS
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202529
Chronos-Bolt
Validation set 3 for PI using Chronos-Bolt
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.
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 is assumed to be iid.
2025 sprint test - Sarima
2025 - Sarima - Preditores da picada
GHR Model 2025
GHR Model 2025 Forecast (Ministry of Health, using Sept forecasts) - PA
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.
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 is assumed to be iid.
Dengue oracle - M2
Validation test 1 for sprint 2025 preds in BA
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for validation test 1 in the state RR.
infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model
infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model Prediction on PE_info_dengue_test_1
3054 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=20&per_page=30&
Page 20 of 102
