Previsões
ID
Idioma
Nome do modelo
Repositório
Descrição
Temp-SPI Interaction Model
2024/25 forecast for three-way interaction model (AP)
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state AP.
LSTM model for Infodengue Sprint
Predictions for 2025 in RR using the comb_att_n architecture
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state AM.
Temp-SPI Interaction Model
2024/25 forecast for three-way interaction model (SC)
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state AM.
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state PR.
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state RO.
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state PA.
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state AP.
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state AC.
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state TO.
LSTM model for Infodengue Sprint
Predictions for 2025 in MS using the att_3 architecture
Prophet model with PCA and vaiance threshold
predict for 2025 of the Prophet model in AM
Temp-SPI Interaction Model
2024/25 forecast for three-way interaction model (PA)
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for unseen data from the period of 2024-06-16 to 2025-10-05 in the state MG.
LSTM model for Infodengue Sprint
Predictions for 2025 in TO using the comb_att_n architecture
LSTM model for Infodengue Sprint
Predictions for 2025 in AP using the comb_att_n architecture
Prophet model with PCA and vaiance threshold
predict for 2025 of the Prophet model in CE
LSTM model for Infodengue Sprint
Predictions for 2025 in DF using the att_3 architecture
Temp-SPI Interaction Model
2024/25 forecast for three-way interaction model (MA)
LSTM model for Infodengue Sprint
Predictions for 2025 in ES using the baseline architecture
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.
700 previsões
https://api.mosqlimate.org/api/registry/predictions/?page=4&per_page=30&
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