Deep learning models for forecasting dengue fever based on climate data in Vietnam.

Van-Hau Nguyen Tran Thi Tuyet Hanh James Mulhall Hoang Van Minh Trung Q Duong Nguyen Van Chien Nguyen Thi Trang NhungVu Hoang LanHoang Ba MinhDo Cuong Nguyen Ngoc BichNguyen Huu QuyenTran Nu Quy LinhNguyen Thi ThoNgu Duy NghiaLe Van Quoc AnhDiep T M PhanNguyen Quoc Viet HungMai Thai Son

Published in: PLoS neglected tropical diseases (2022)

This study demonstrates the usefulness of deep learning models for meteorological factor-based DF forecasting. LSTM-ATT should be further explored for mitigation strategies against DF and other climate-sensitive diseases in the coming years.

Keyphrases

deep learning
climate change
artificial intelligence
convolutional neural network
machine learning
air pollution
big data
dengue virus
aedes aegypti