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