Predictions
ID
Lang
Model name
Repository
Description
UERJ-SARIMAX-2025-2
Validation test 3 for UF=MT (UERJ-SARIMAX-2025-2)
UERJ-SARIMAX-2025-2
Validation test 1 for UF=TO (UERJ-SARIMAX-2025-2)
UERJ-SARIMAX-2025-2
Validation test 1 for UF=SP (UERJ-SARIMAX-2025-2)
UERJ-SARIMAX-2025-2
Validation test 1 for UF=GO (UERJ-SARIMAX-2025-2)
LSTM model for Infodengue Sprint
Predictions for 2024 in AP using the comb_att_n architecture
UERJ-SARIMAX-2025-2
Validation test 2 for UF=RO (UERJ-SARIMAX-2025-2)
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
UERJ-SARIMAX-2025-2
Validation test 3 for UF=TO (UERJ-SARIMAX-2025-2)
ISI_Dengue_Model
2022-23 Dengue Forecast for Minas Gerais
UERJ-SARIMAX-2025-2
Validation test 3 for UF=AM (UERJ-SARIMAX-2025-2)
infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model
infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model Prediction on RN_info_dengue_test_2
Dengue oracle - M1
Validation test 3 for sprint 2025 preds in BA
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state CE.
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.
UERJ-SARIMAX-2025-2
Validation test 3 for UF=MS (UERJ-SARIMAX-2025-2)
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
UERJ-SARIMAX-2025-2
Validation test 2 for UF=MG (UERJ-SARIMAX-2025-2)
UERJ-SARIMAX-2025-2
Validation test 3 for UF=RN (UERJ-SARIMAX-2025-2)
2517 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=23&per_page=30&
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