School of Public Health

E-DENGUE: A user-friendly digital prediction tool for dengue prevention

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About

The E-DENGUE project gathers the unique skills of the multidisciplinary team members to translate scientific evidence into products that are usable for health professionals and community members in disease prevention and control. In addition, we will focus on how to facilitate and engage end-users to use the developed product, especially in less developed, low-resource, and local areas.

The E-DENGUE project would develop a user-friendly digital prediction tool for dengue prevention in the Mekong Delta Region, Vietnam. The project will be implemented in three phases. In the first phase, we will develop and validate the prediction models that can accurately predict dengue incidence and outbreaks for two months in advance, and then in the second phase we will develop an open software system and mobile app that can be usable for local health practitioners to use in the current dengue surveillance system. In the last phase, we will evaluate the effectiveness/cost-effectiveness of the E-DENGUE in reducing dengue incidence and outbreaks in the MDR.

E-DENGUE will provide timely warnings from the surveillance system that will support the local health departments and the community to proactively plan and deploy dengue preventive and control measures in high-risk areas. In addition, advance notice provided by E-DENGUE will empowers decision-makers and communities to facilitate effective management of finite resources and scale up prevention and preparedness interventions for outbreak responses.

The project has formed an internationally renowned team comprising researchers, technicians, and decision-makers. The team members come from various backgrounds including medicine, public health, epidemiology, biostatistics, environment, sociology, economics, and ICT, and they have the expertise and long-term experiences in health decision making, research, and industry practices.

  • Dr Dung Phung, School of of Public Health, Faculty of Medicine, The University of Queensland, Australia - Project Lead & Theme 1 (Model development and validation) Co-Lead
  • Professor Robert Dubrow, Yale School of Public Health, Yale University, United State of America - Principle Steering Committee member & Advisor
  • Associate Professor Daniel Weinberger, Yale School of Public Health, Yale University, United State of America - Theme 1 (Model development and validation) Co-Lead
  • Dr Vinh Bui, Faculty of Science and Engineering, Southern Cross University, Australia - Theme 2 (Software development) Lead
  • Professor Nam Vu, National Institute of Hygiene and Epidemiology (NIHE), Vietnam - Theme 3 (Effectiveness and Cost-Effectiveness Evaluation) Lead
  • Professor Cordia Chu, School of Medicine and Dentistry, Griffith University, Australia - Theme 4 (Needs Assessment) Lead
  • Professor Colleen Lau, School of Public Health, Faculty of Medicine, The University of Queensland, Australia - Steering Committee member & Advisor
  • Professor Phan Trong Lan, General Department of Preventive Medicine, Ministry of Health, Vietnam – Steering Committee member & Advisor
  • Associate Professor Son Nghiem, Colleage of Health and Medicine, Australian National University, Australia - Theme 3 (Effectiveness and Cost-Effectiveness Evaluation) Co-Lead
  • Associate Professor Pham Quang Thai, National Institute of Hygiene and Epidemiology (NIHE), Vietnam - Cross-theme member
  • Associate Professor Simon Reid, School of of Public Health, Faculty of Medicine, The University of Queensland, Australia - Project Advisor & Theme 4 (Needs Assessment) member
  • Associate Professor Nicholas Osborne, School of of Public Health, Faculty of Medicine, The University of Queensland, Australia - Cross-theme member
  • Dr Russell Richard, School of Business, The University of Queensland, Australia - Cross-theme member
  • Dr Hai Phung, School of Medicine and Dentistry, Griffith University, Australia - Theme 4 (Needs Assessment) Co-Lead
  • Associate Professor Trung Nguyen, Can Tho University, Vietnam - Cross-theme member
  • Assistant Professor Van Doan, Center for Computational Science, Tsukuba University, Japan - Cross-theme member
  • Associate Professor Dang Tran, University of Medicine and Pharmacy in Ho Chi Minh City, Vietnam - Cross-theme member
  • Dr Duc Nguyen, CENTIC, Vietnam - Theme 2 (Software development)
  • Assistant Professor Xin Zhou, Yale School of Public Health, Yale University, United State of America - Cross-theme member & Technical advisor
  • Dr Huy Nguyen, Federation University, Australia - Cross-theme member & Technical advisor
  • Dr Darsy Dassan, School of Public Health, Faculty of Medicine, The University of Queensland, Australia - Technical advisor
  • Dr Nu Quy LInh Tran, School of Public Health, Faculty of Medicine, The University of Queensland, Australia - Senior Research Officer
  • Dr Hong Le, School of Public Health, Faculty of Medicine, The University of Queensland, Australia - Theme 3 (Effectiveness and Cost-Effectiveness Evaluation) Postdoctoral Research Fellow
  • Dr Wala Areed, School of Public Health, Faculty of Medicine, The University of Queensland, Australia - Theme 1 (Model development and validation) Postdoctoral Research Fellow
  • Dr Tuan Pham, School of Medicine and Dentistry, Griffith University, Australia - Theme 4 (Needs Assessment) Research Fellow
  • Mr Thinh Nguyen, National Institute of Hygiene and Epidemiology, Vietam - Research Officer in Vietnam
  • Ms Hoang Dung Ho, National Institute of Hygiene and Epidemiology, Vietam - Research assistant

PhD students

  • Kien Quoc Do, School of Public Health, Faculty of Medicine, The University of Queensland - Theme 3 PhD student
  • Manh Hung Trinh, School of Public Health, Faculty of Medicine, The University of Queensland - Theme 3 PhD student
  • Thi Thanh Thao Nguyen, School of Public Health, Faculty of Medicine, The University of Queensland - Theme 1 PhD student
  • Ha Thu Nguyen, School of Medicine and Dentistry, Griffith University - Theme 4 PhD student
  • Dang Khanh Linh Vien, School of Public Health, Faculty of Medicine, The University of Queensland - Master of Philosophy

A User-friendly digital prediction tool for dengue prevention. UK Wellcome Trust Fund Discretionery Award - Data Science for Health Application 2023-2027 (Grant Ref: 226474/Z/22/Z).

  • National Institute of Hygiene and Epidemiology, Vietnam
  • Pasteur Institute in Ho Chi Minh City, Vietnam
  • General Department of Preventive Medicine, Ministry of Health, Vietnam
  • Yale School of Public Health, Yale University, United State of America
  • College of Health and Medicine, Australian National University, Australia
  • School of Medicine and Dentistry, Griffith University, Australia
  • Faculty of Science and Engineering, Southern Cross University, Australia
  • Center for Coputational Science, Tsukuba University, Japan
  • Can Tho University, Vietnam
  • University of Medicine and Pharmacy in Ho Chi Minh City, Vietnam