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

Journal: PLoS neglected tropical diseases
PMID:

Abstract

BACKGROUND: 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.

Authors

  • Van-Hau Nguyen
    Hungyen University of Technology and Education, Hungyen, Vietnam.
  • Tran Thi Tuyet-Hanh
    Hanoi University of Public Health, Hanoi, Vietnam.
  • James Mulhall
    Queen's University Belfast, Belfast, United Kingdom.
  • Hoang Van Minh
    Hanoi University of Public Health, Hanoi, Vietnam.
  • Trung Q Duong
    School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast BT7 1NN, UK.
  • Nguyen Van Chien
    Hanoi University of Science and Technology, Hanoi, Vietnam.
  • Nguyen Thi Trang Nhung
    Hanoi University of Public Health, Hanoi, Vietnam.
  • Vu Hoang Lan
    Hanoi University of Public Health, Hanoi, Vietnam.
  • Hoang Ba Minh
    Bac Ha International University, Hanoi, Vietnam.
  • Do Cuong
    University of Connecticut, Storrs, Connecticut, United States of America.
  • Nguyen Ngoc Bich
    Hanoi University of Public Health, Hanoi, Vietnam.
  • Nguyen Huu Quyen
    Vietnam Institute of Meteorology, Hydrology and Climate Change, Hanoi, Vietnam.
  • Tran Nu Quy Linh
    Griffith University, Brisbane, Queensland, Australia.
  • Nguyen Thi Tho
    National Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
  • Ngu Duy Nghia
    National Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
  • Le Van Quoc Anh
    Ho Chi Minh City University of Transportation, Ho Chi Minh, Vietnam.
  • Diep T M Phan
    University of Science, Ho Chi Minh, Vietnam.
  • Nguyen Quoc Viet Hung
    Griffith University, Brisbane, Queensland, Australia.
  • Mai Thai Son
    Queen's University Belfast, Belfast, United Kingdom.