Scientific article
Open access

Precision global health: a roadmap for augmented action

Published inJournal of Public Health and Emergency, vol. 4, no. 5, p. 1-12
Publication date2020

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.

  • Digital health
  • Big data
  • Artificial intelligence (AI)
  • Public health
  • Machine learning
  • One health
Citation (ISO format)
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
Main files (1)
Article (Published version)
ISSN of the journal2520-0054

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