Precision global health : a roadmap for augmented action

dc.contributor.authorSheat, Danny J.
dc.contributor.authorDe Castaneda, Rafael Ruiz.
dc.contributor.authorBempong, Nefti-Eboni
dc.contributor.authorRaviglione, Mario
dc.contributor.authorMachalaba, Catherine
dc.contributor.authorPepper, Michael Sean
dc.contributor.authorVayena, Effy
dc.contributor.authorRay, Nicolas
dc.contributor.authorWernli, Didier
dc.contributor.authorEscher, Gerard
dc.contributor.authorGrey, Francois
dc.contributor.authorElger, Bernice S.
dc.contributor.authorKleineberg, Kaj-Kolja
dc.contributor.authorBeran, David
dc.contributor.authorMiranda, J. Jaime
dc.contributor.authorHuffman, Mark D.
dc.contributor.authorHersch, Fred
dc.contributor.authorAndayi, Fred
dc.contributor.authorThumbi, Samuel M.
dc.contributor.authorD’Acremont, Valerie
dc.contributor.authorHartley, Mary-Anne
dc.contributor.authorZinsstag, Jakob
dc.contributor.authorLarus, James
dc.contributor.authorMartínez, María Rodríguez
dc.contributor.authorGuerin, Philippe J.
dc.contributor.authorMerson, Laura
dc.contributor.authorNgyuen, Vinh-Kim
dc.contributor.authorRühli, Frank
dc.contributor.authorGeissbuhler, Antoine
dc.contributor.authorSalathé, Marcel
dc.contributor.authorBolon, Isabelle
dc.contributor.authorBoehme, Catharina
dc.contributor.authorBerkley, Seth
dc.contributor.authorValleron, Alain-Jacques
dc.contributor.authorKeiser, Olivia
dc.contributor.authorKaiser, Laurent
dc.contributor.authorEckerle, Isabella
dc.contributor.authorUtzinger, Jurg
dc.contributor.authorFlahault, Antoine
dc.date.accessioned2021-10-06T08:15:57Z
dc.date.available2021-10-06T08:15:57Z
dc.date.issued2020-03
dc.description.abstractWith 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.en_ZA
dc.description.departmentImmunologyen_ZA
dc.description.librarianpm2021en_ZA
dc.description.urihttps://jphe.amegroups.comen_ZA
dc.identifier.citationSheath, 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.en_ZA
dc.identifier.issn2520-0054 (online)
dc.identifier.other10.21037/jphe.2020.01.01
dc.identifier.urihttp://hdl.handle.net/2263/82053
dc.language.isoenen_ZA
dc.publisherAME Publishing Companyen_ZA
dc.rights© Journal of Public Health and Emergency. All rights reserved.en_ZA
dc.subjectDigital healthen_ZA
dc.subjectBig dataen_ZA
dc.subjectArtificial intelligence (AI)en_ZA
dc.subjectMachine learningen_ZA
dc.subjectOne healthen_ZA
dc.subjectPublic healthen_ZA
dc.subjectPrecision global health (PGH)en_ZA
dc.titlePrecision global health : a roadmap for augmented actionen_ZA
dc.typeArticleen_ZA

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