Predictions
ID
Lang
Model name
Repository
Description
Deep learning model using BI-LSTM Layers
Forecast de novos casos para o geocode 2408102 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode e das cidades clusterizadas com ele
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202536
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202542
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202519
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202527
Cornell PEH - NegBinom Baseline model
Validation 3 (NegBinom Baseline model)
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202501
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202521
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202531
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202511
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202530
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202506
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202531
Arima model (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202516
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202508
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202526
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202533
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202544
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202520
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202541
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202539
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202543
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202540
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202525
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202538
LSTM model with climate covariates (3 weeks ahead)
Prediction 3 weeks ahead using data up to epiweek 202537
Model 1 - Weekly and yearly (iid) 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.
3054 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=2&per_page=30&
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