TY - JOUR
T1 - Precision global health
T2 - a roadmap for augmented action
AU - Sheath, Danny J.
AU - de Castañeda, Rafael Ruiz
AU - Bempong, Nefti Eboni
AU - Raviglione, Mario
AU - Machalaba, Catherine
AU - Pepper, Michael S.
AU - Vayena, Effy
AU - Ray, Nicolas
AU - Wernli, Didier
AU - Escher, Gérard
AU - Grey, Francois
AU - Elger, Bernice S.
AU - Kleineberg, Kaj Kolja
AU - Beran, David
AU - Miranda, J. Jaime
AU - Huffman, Mark D.
AU - Hersch, Fred
AU - Andayi, Fred
AU - Thumbi, Samuel M.
AU - D’Acremont, Valérie
AU - Hartley, Mary Anne
AU - Zinsstag, Jakob
AU - Larus, James
AU - Martínez, María Rodríguez
AU - Guerin, Philippe J.
AU - Merson, Laura
AU - Ngyuen, Vinh Kim
AU - Rühli, Frank
AU - Geissbuhler, Antoine
AU - Salathé, Marcel
AU - Bolon, Isabelle
AU - Boehme, Catharina
AU - Berkley, Seth
AU - Valleron, Alain Jacques
AU - Keiser, Olivia
AU - Kaiser, Laurent
AU - Eckerle, Isabella
AU - Utzinger, Jürg
AU - Flahault, Antoine
N1 - Publisher Copyright:
© 2020 Authors. All rights reserved.
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
KW - Digital health
KW - artificial intelligence (AI)
KW - big data
KW - machine learning
KW - one health
KW - public health
UR - http://www.scopus.com/inward/record.url?scp=85107262620&partnerID=8YFLogxK
U2 - 10.21037/jphe.2020.01.01
DO - 10.21037/jphe.2020.01.01
M3 - Review article
AN - SCOPUS:85107262620
SN - 2520-0054
VL - 4
JO - Journal of Public Health and Emergency
JF - Journal of Public Health and Emergency
M1 - 5
ER -