Predictions


ID

Lang

Model name

Author

Repository

Predict date Type Model ID

Description

GHR Model 2025

2025-07-31 Model 135

GHR Model 2025 Validation Test 3 - AL

Chronos-Bolt

2025-07-31 Model 133

Validation set 3 for BA using Chronos-Bolt

329

LSTM model for Infodengue Sprint

2024-08-28 Model 21

Predictions for 2025 in AL using the baseline architecture

LaCiD/UFRN

2025-07-30 Model 131

Dengue predictions for RJ using Validation Test 3

302

Temp-SPI Interaction Model

2024-08-28 Model 22

2024/25 forecast for three-way interaction model (AC)

273

Prophet model with PCA and vaiance threshold

2024-08-25 Model 25

predict for 2025 of the Prophet model in GO

291

BB-M

2024-08-26 Model 30

Prediction for PI in 2025

287

BB-M

2024-08-26 Model 30

Prediction for MT in 2025

335

LSTM model for Infodengue Sprint

2024-08-28 Model 21

Predictions for 2025 in PI using the baseline architecture

307

Temp-SPI Interaction Model

2024-08-28 Model 22

2024/25 forecast for three-way interaction model (CE)

194

Model 1 - Weekly and yearly (iid) components

2024-08-15 Model 27

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.

513

Model 1 - Weekly and yearly (iid) components

2024-09-02 Model 27

This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state RR.

337

LSTM model for Infodengue Sprint

2024-08-28 Model 21

Predictions for 2025 in RN using the baseline architecture

334

LSTM model for Infodengue Sprint

2024-08-28 Model 21

Predictions for 2025 in PE using the baseline architecture

279

BB-M

2024-08-26 Model 30

Prediction for BA in 2025

278

BB-M

2024-08-26 Model 30

Prediction for AP in 2025

268

Model 2 - Weekly and yearly (rw1) components

2024-08-15 Model 28

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.

336

LSTM model for Infodengue Sprint

2024-08-28 Model 21

Predictions for 2025 in SE using the baseline architecture

369

Model 1 - Weekly and yearly (iid) components

2024-08-29 Model 27

This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state MG.

2025 sprint test - Sarima

2025-07-22 Model 108

2025 - Sarima - Preditores da picada

989

2025 sprint test - Sarima

2025-07-22 Model 108

2025 - Sarima - Preditores da picada

Cornell PEH - NegBinom Baseline model

2025-07-29 Model 139

Validation 2 (NegBinom Baseline model)

Imperial-TFT Model

2025-07-31 Model 136

TFT forecasts for RS

Imperial-TFT Model

2025-07-31 Model 136

TFT forecasts for SC

LaCiD/UFRN

2025-07-30 Model 131

Dengue predictions for PR using Validation Test 3

LaCiD/UFRN

2025-07-30 Model 131

Dengue predictions for SP using Validation Test 1

333

LSTM model for Infodengue Sprint

2024-08-28 Model 21

Predictions for 2025 in PB using the baseline architecture

959

2025 sprint test - Sarima

2025-07-22 Model 108

2025 - Sarima - Preditores da picada

Chronos-Bolt

2025-07-31 Model 133

Validation set 3 for DF using Chronos-Bolt

Chronos-Bolt

2025-07-31 Model 133

Validation set 3 for PR using Chronos-Bolt

2729 predictions

https://api.mosqlimate.org/api/registry/predictions/?page=79&per_page=30&


Page 79 of 91

Chat
chatbot