Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46087, first published .
A Novel Approach for the Early Detection of Medical Resource Demand Surges During Health Care Emergencies: Infodemiology Study of Tweets

A Novel Approach for the Early Detection of Medical Resource Demand Surges During Health Care Emergencies: Infodemiology Study of Tweets

A Novel Approach for the Early Detection of Medical Resource Demand Surges During Health Care Emergencies: Infodemiology Study of Tweets

Mahakprit Kaur   1, 2 , BSc ;   Taylor Cargill   1, 2 , BSc ;   Kevin Hui   2, 3 , BSc ;   Minh Vu   2, 3 , BSc ;   Nicola Luigi Bragazzi   4, 5 , MPH, MD, PhD ;   Jude Dzevela Kong   2, 4 , PhD

1 Department of Biology, Faculty of Science, York University, Toronto, ON, Canada

2 Africa-Canada Artificial Intelligence and Data Innovation Consortium, Toronto, ON, Canada

3 Department of Computer Science, Lassonde School of Engineering, York University, Toronto, ON, Canada

4 Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

5 Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada

Corresponding Author:

  • Jude Dzevela Kong, PhD
  • Dalla Lana School of Public Health
  • University of Toronto
  • 155 College St, Room 500
  • Toronto, ON M5T 3M7
  • Canada
  • Phone: 1 416 978 0901
  • Email: jdkong@yorku.ca