Framework of intra-urban dengue forecasting approach.
figure
posted on 2020-12-21, 19:33 authored by Kang Liu, Meng Zhang, Guikai Xi, Aiping Deng, Tie Song, Qinglan Li, Min Kang, Ling YinCommon features were extracted from the dengue case data, meteorological data, and population data, while the interaction features were learned from the mobile phone data. The interaction features were combined with the common features to enhance the models (i.e., SVM, LASSO, and ANN) for L-week ahead dengue forecasting.
