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

• Egile Nagusiak: Van-Hau Nguyen (Egilea), Tran Thi Tuyet-Hanh (Egilea), James Mulhall (Egilea), Hoang Van Minh (Egilea), Trung Q Duong (Egilea), Nguyen Van Chien (Egilea), Nguyen Thi Trang Nhung (Egilea), Vu Hoang Lan (Egilea), Hoang Ba Minh (Egilea), Do Cuong (Egilea), Nguyen Ngoc Bich (Egilea), Nguyen Huu Quyen (Egilea), Tran Nu Quy Linh (Egilea), Nguyen Thi Tho (Egilea), Ngu Duy Nghia (Egilea), Le Van Quoc Anh (Egilea), Diep T M Phan (Egilea), Nguyen Quoc Viet Hung (Egilea), Mai Thai Son (Egilea)
• Formatua: Liburua
• Argitaratua: Public Library of Science (PLoS), 2022-06-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

<h4>Background</h4>Dengue fever (DF) represents a significant health burden in Vietnam, which is forecast to worsen under climate change. The development of an early-warning system for DF has been selected as a prioritised health adaptation measure to climate change in Vietnam.<h4>...