School of Public Health

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

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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.

  1. 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
  2. Professor Robert Dubrow, Yale School of Public Health, Yale University, United State of America - Principle Steering Committee member & Advisor
  3. Associate Professor Daniel Weinberger, Yale School of Public Health, Yale University, United State of America - Theme 1 (Model development and validation) Co-Lead
  4. Dr Vinh Bui, Faculty of Science and Engineering, Southern Cross University, Australia - Theme 2 (Software development) Lead
  5. Professor Nam Vu, National Institute of Hygiene and Epidemiology (NIHE), Vietnam - Theme 3 (Effectiveness and Cost-Effectiveness Evaluation) Lead
  6. Professor Cordia Chu, School of Medicine and Dentistry, Griffith University, Australia - Theme 4 (Needs Assessment) Lead
  7. Professor Colleen Lau, School of Public Health, Faculty of Medicine, The University of Queensland, Australia - Steering Committee member & Advisor
  8. Professor Phan Trong Lan, General Department of Preventive Medicine, Ministry of Health, Vietnam – Steering Committee member & Advisor
  9. Associate Professor Son Nghiem, Colleage of Health and Medicine, Australian National University, Australia - Theme 3 (Effectiveness and Cost-Effectiveness Evaluation) Co-Lead
  10. Associate Professor Pham Quang Thai, National Institute of Hygiene and Epidemiology (NIHE), Vietnam - Cross-theme member
  11. Associate Professor Simon Reid, School of of Public Health, Faculty of Medicine, The University of Queensland, Australia - Project Advisor & Theme 4 (Needs Assessment) member
  12. Associate Professor Nicholas Osborne, School of of Public Health, Faculty of Medicine, The University of Queensland, Australia - Cross-theme member
  13. Dr Russell Richard, School of Business, The University of Queensland, Australia - Cross-theme member
  14. Dr Hai Phung, School of Medicine and Dentistry, Griffith University, Australia - Theme 4 (Needs Assessment) Co-Lead
  15. Associate Professor Trung Nguyen, Can Tho University, Vietnam - Cross-theme member
  16. Assistant Professor Van Doan, Center for Computational Science, Tsukuba University, Japan - Cross-theme member
  17. Associate Professor Dang Tran, University of Medicine and Pharmacy in Ho Chi Minh City, Vietnam - Cross-theme member
  18. Dr Duc Nguyen, CENTIC, Vietnam - Theme 2 (Software development)
  19. Assistant Professor Xin Zhou, Yale School of Public Health, Yale University, United State of America - Cross-theme member & Technical advisor
  20. Dr Huy Nguyen, Federation University, Australia - Cross-theme member & Technical advisor
  21. Dr Darsy Dassan, School of Public Health, Faculty of Medicine, The University of Queensland, Australia - Technical advisor

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