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Precision global health: a roadmap for augmented action

Machalaba, Catherine
Pepper, Michael S.
Vayena, Effy
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Published in Journal of Public Health and Emergency. 2020, vol. 4, no. 5, p. 1-12
Abstract With increased complexity in various global health challenges comes a need for increased precision and the adoption of more tailored health interventions. Building on precision public health, we propose precision global health (PGH), an approach that leverages life sciences, social sciences, and data sciences, augmented with artificial intelligence (AI), in order to identify transnational problems and deliver targeted and impactful interventions through integrated and participatory approaches. With more than four billion Internet users across the globe and the accelerating power of AI, PGH taps on our current augmented capacity to collect, integrate, analyse and visualise large volumes of data, both non-specific and specific to health. With the support of governments and donors, and together with international and non-governmental organisations, universities and research institutions can generate innovative solutions to improve health and wellbeing of the most vulnerable populations around the world. In line with the Sustainable Development Goals, we propose here a road map for the development and implementation of PGH.
Keywords Digital healthBig dataArtificial intelligence (AI)Public healthMachine learningOne health
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Research groups Education thérapeutique du patient, diabète et obésité (600)
GeoHealth: approches géospatiales et environnementales en santé globale (1000)
Groupe Flahault Antoine (945)
Groupe Geissbuhler Antoine (informatique médicale) (222)
ISE Biodiversité
ISE Pôle Informatique environnementale
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SHEATH, Danny et al. Precision global health: a roadmap for augmented action. In: Journal of Public Health and Emergency, 2020, vol. 4, n° 5, p. 1-12. doi: 10.21037/jphe.2020.01.01 https://archive-ouverte.unige.ch/unige:135072

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Deposited on : 2020-04-24

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