Predictions
ID
Lang
Model name
Repository
Description
Modelo fourier-gravidade
Prediction Validation test 3 in RJ
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
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 CE. 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.
ISI_Dengue_Model
2022-23 Dengue Forecast for Rio Grande do Norte
2490 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=10&per_page=30&
Page 10 of 83
