Predictions


ID

Lang

Model name

Author

Repository

Predict date Type Model ID

Description

470

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in RO using the comb_att_n architecture

429

BB-M

2024-09-02 Model 30

Prediction for RR in 2023 (train 1)

462

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in SP using the baseline architecture

130

Temp-SPI Interaction Model

2024-08-14 Model 22

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

19

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 2704302 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2704302 como input

31

Deep learning model using BI-LSTM Layers

2023-09-12 Model 6

Forecast de novos casos para o geocode 2211001 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode 2211001

453

BB-M

2024-09-02 Model 30

Prediction for SC in 2024 (train 2)

216

BB-M

2024-08-19 Model 30

Prediction for CE in 2024

LaCiD/UFRN

2025-07-30 Model 131

Dengue predictions for MA using Validation Test 1

483

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in AL using the baseline architecture

441

BB-M

2024-09-02 Model 30

Prediction for MA in 2024 (train 2)

33

Deep learning model using BI-LSTM Layers

2023-09-12 Model 6

Forecast de novos casos para o geocode 2408102 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode 2408102

26

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 2507507 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2507507 como input

452

BB-M

2024-09-02 Model 30

Prediction for RS in 2024 (train 2)

500

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in RN using the baseline architecture

LaCiD/UFRN

2025-07-30 Model 131

Dengue predictions for GO using Validation Test 1

479

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in TO using the baseline architecture

498

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2024 in PI using the baseline architecture

20

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 2927408 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2927408 como input

70

Univariate neural prophet model

2023-12-04 Model 7

Forecast de novos casos para o geocode 2304400 entre 2022-01-01 e 2023-07-02

37

Deep learning model using BI-LSTM Layers

2023-09-12 Model 6

Forecast de novos casos para o geocode 2704302 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode e das cidades clusterizadas com ele

461

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in AL using the baseline architecture

39

Deep learning model using BI-LSTM Layers

2023-09-12 Model 6

Forecast de novos casos para o geocode 2111300 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode e das cidades clusterizadas com ele

476

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in PI using the baseline architecture

428

BB-M

2024-09-02 Model 30

Prediction for RO in 2023 (train 1)

15

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 2408102 entre 2022-01-01 e 2023-01-01 usando apenas os dados de todos as cidades clusterizadas com 2408102 como input

11

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 2927408 entre 2022-01-01 e 2023-01-01 usando apenas os dados de todos as cidades clusterizadas com 2927408 como input

18

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 2611606 entre 2022-01-01 e 2023-01-01 usando apenas os dados de todos as cidades clusterizadas com 2611606 como input

472

LSTM model for Infodengue Sprint

2024-09-02 Model 21

Predictions for 2023 in DF using the att_3 architecture

43

Deep learning model using BI-LSTM Layers

2023-09-12 Model 6

Forecast de novos casos para o geocode 2304400 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode e das cidades clusterizadas com ele

2569 predictions

https://api.mosqlimate.org/api/registry/predictions/?page=50&per_page=30&


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