Machine learning and dengue forecasting:Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-nationalscales in Colombia

The robust estimate and forecast capability of random forests (RF) has been widely recognized, however this ensemble machine learning method has not been widely used in mosquito-borne disease forecasting. In this study, two sets of RF models were developed at the national (pooled department-level da...