Precision global health : a roadmap for augmented action
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; Grey, Francois; Elger, Bernice S.; Kleineberg, Kaj-Kolja; Beran, David; Miranda, J. Jaime; Huffman, Mark D.; Hersch, Fred; Andayi, Fred; Thumbi, Samuel M.; D’Acremont, Valerie; Hartley, Mary-Anne; Zinsstag, Jakob; Larus, James; Martínez, María Rodríguez; Guerin, Philippe J.; Merson, Laura; Ngyuen, Vinh-Kim; Rühli, Frank; Geissbuhler, Antoine; Salathé, Marcel; Bolon, Isabelle; Boehme, Catharina; Berkley, Seth; Valleron, Alain-Jacques; Keiser, Olivia; Kaiser, Laurent; Eckerle, Isabella; Utzinger, Jurg; Flahault, Antoine
Date:
2020-03
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.