Predictions


ID

Lang

Model name

Author

Repository

Predict date Type Model ID

Description

491

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in RR using the comb_att_n architecture

482

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in BA using the baseline architecture

KAUST GeoHealth Model

2025-08-07 Model 141

pred_task2_RR.csv

96

My Nowcasting Model

2024-01-07 Model 20

This is a test

303

Temp-SPI Interaction Model

2024-08-28 Model 22

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

438

BB-M

2024-09-02 Model 30

Prediction for BA in 2024 (train 2)

328

Temp-SPI Interaction Model

2024-08-28 Model 22

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

102

Temp-SPI Interaction Model

2024-08-14 Model 22

Validation test 1 for three-way interaction model (AL)

32

Deep learning model using BI-LSTM Layers

2023-09-12 Model 6

Forecast de novos casos para o geocode 2800308 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode 2800308

36

Deep learning model using BI-LSTM Layers

2023-09-12 Model 6

Forecast de novos casos para o geocode 2611606 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode 2611606

487

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in SC using the baseline architecture

437

BB-M

2024-09-02 Model 30

Prediction for AP in 2024 (train 2)

149

Temp-SPI Interaction Model

2024-08-14 Model 22

Validation test 2 for three-way interaction model (RR)

475

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in PB using the baseline architecture

425

BB-M

2024-09-02 Model 30

Prediction for PI in 2023 (train 1)

468

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in AC using the comb_att_n architecture

450

BB-M

2024-09-02 Model 30

Prediction for RO in 2024 (train 2)

486

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in ES using the baseline architecture

474

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in MS using the att_3 architecture

467

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in AP using the comb_att_n architecture

449

BB-M

2024-09-02 Model 30

Prediction for RN in 2024 (train 2)

424

BB-M

2024-09-02 Model 30

Prediction for PE in 2023 (train 1)

105

Temp-SPI Interaction Model

2024-08-14 Model 22

Validation test 1 for three-way interaction model (BA)

LNCC-CLiDENGO-2025-1

2025-08-14 Model 152

Validation test 3 for UF=TO (LNCC-CLiDENGO model)

LaCiD/UFRN

2025-07-30 Model 131

Dengue predictions for AM using Validation Test 3

481

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in MA using the baseline architecture

LaCiD/UFRN

2025-07-30 Model 131

Dengue predictions for CE using Validation Test 1

469

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in RR using the comb_att_n architecture

460

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in BA using the baseline architecture

759

Model 2 - Weekly and yearly (rw1) components

2024-09-11 Model 28

This upload represents the epidemic prediction for validation test 2 in the state PR.

2569 predictions

https://api.mosqlimate.org/api/registry/predictions/?page=52&per_page=30&


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