Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78702, first published .
Framing the Convergence of One Health and Digital Health in the Global South With a Gender-Sensitive Foresight Perspective: Delphi Study Using Latent Semantic Analysis

Framing the Convergence of One Health and Digital Health in the Global South With a Gender-Sensitive Foresight Perspective: Delphi Study Using Latent Semantic Analysis

Framing the Convergence of One Health and Digital Health in the Global South With a Gender-Sensitive Foresight Perspective: Delphi Study Using Latent Semantic Analysis

Jude Kong   1, 2, 3, 4, 5 , PhD ;   Nicola Luigi Bragazzi   1 , MPH, MD, PhD

1 Artificial Intelligence & Mathematical Modeling Lab (AIMMLab), Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

2 Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto, Toronto, ON, Canada

3 Department of Mathematics, Bahen Centre for Information Technology, University of Toronto, Toronto, ON, Canada

4 Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Toronto, ON, Canada

5 Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP), Toronto, ON, Canada

Corresponding Author:

  • Jude Kong, PhD
  • Artificial Intelligence & Mathematical Modeling Lab (AIMMLab)
  • Dalla Lana School of Public Health
  • University of Toronto
  • 155 College Street
  • Toronto, ON M5T 3M7
  • Canada
  • Phone: 1 4169783868
  • Email: jude.kong@utoronto.ca