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Transfer learning applied to the forecast of mosquito-borne diseases
Coelho, F. C.; de Holanda, N. L.; Coimbra, B. M.
2020-02-04
public and global health
10.1101/2020.02.03.20020164
medRxiv
Show abstract
Here we apply the concept of transfer learning to time series forecasting models for mosquito-borne diseases. Transfer learning, in this application, allows us to use knowledge obtained from modeling one disease to predict an emerging one for which extensive data is still not available. Here we discuss the performances of two families of models for predicting Chikungunya and Zika using models trained with dengue time series, in two Brazilian cities: Rio de Janeiro and Fortaleza.
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