Precision global health : a roadmap for augmented action
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Date
Authors
Sheat, Danny J.
De Castaneda, Rafael Ruiz.
Bempong, Nefti-Eboni
Raviglione, Mario
Machalaba, Catherine
Pepper, Michael Sean
Vayena, Effy
Ray, Nicolas
Wernli, Didier
Escher, Gerard
Journal Title
Journal ISSN
Volume Title
Publisher
AME Publishing Company
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.
Description
Keywords
Digital health, Big data, Artificial intelligence (AI), Machine learning, One health, Public health, Precision global health (PGH)
Sustainable Development Goals
Citation
Sheath, D.J., De Castañeda, R.R., Bempong, N-E. et al. 2020, 'Precision global health: a roadmap for augmented action', Journal of Public Health and Emergency, vol. 4, no. 5, http://dx.doi.org/10.21037/jphe.2020.01.01.