Predictions
ID
Lang
Model name
Repository
Description
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (PB)
LSTM model for Infodengue Sprint
Predictions for 2025 in RJ using the baseline architecture
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (RN)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (AP)
Temp-SPI Interaction Model
2024/25 forecast for three-way interaction model (PR)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (RJ)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (PR)
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.
LSTM model for Infodengue Sprint
Predictions for 2025 in RO using the comb_att_n architecture
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (SP)
LSTM model for Infodengue Sprint
Predictions for 2023 in CE using the baseline_msle 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.
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (ES)
LSTM-RF model
LSTM-RF predictions for Mosqlimate Sprint 2025
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (BA)
LaCiD/UFRN
Dengue predictions for AM using Validation Test 1
LaCiD/UFRN
Dengue predictions for TO using Validation Test 2
LSTM model for Infodengue Sprint
Predictions for 2023 in GO using the att_3 architecture
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (RN)
Chronos-Bolt
Validation set 2 for RN using Chronos-Bolt
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (SE)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (PA)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (MT)
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.
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (TO)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (MS)
3054 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=78&per_page=30&
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