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Journal article

Precision global health in the digital age

Abstract:
Precision global health is an approach similar to precision medicine, which facilitates, through innovation and technology, better targeting of public health interventions on a global scale, for the purpose of max-imising their effectiveness and relevance. Illustrative examples include: the use of remote sensing data to fight vector-borne diseases; large databases of genomic sequences of foodborne pathogens helping to identify origins of outbreaks; social networks and internet search engines for tracking communicable diseases; cell phone data in humanitarian actions; drones to deliver healthcare services in remote and secluded areas. Open science and data sharing platforms are pro-posed for fostering international research programmes under fair, ethical and respectful conditions. Innovative education, such as massive open online courses or serious games, can promote wider access to training in public health and improving health literacy. The world is moving towards learning healthcare systems. Professionals are equipped with data collection and decision support devices. They share information, which are complemented by external sources, and analysed in real time using machine learning techniques. They allow for the early detection of anomalies, and eventually guide appropriate public health interventions. This article shows how information-driven approaches, enabled by digital technologies, can help improving global health with greater equity.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.4414/smw.2017.14423

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author


Publisher:
EMH Schweizerischer Arzteverlag
Journal:
Swiss Medical Weekly More from this journal
Volume:
2017
Issue:
1314
Article number:
w14423
Publication date:
2017-04-08
DOI:
EISSN:
1424-3997
ISSN:
1424-7860


Keywords:
Pubs id:
pubs:701576
UUID:
uuid:00cddcdb-c474-4828-8f0a-abba9e1fa937
Local pid:
pubs:701576
Source identifiers:
701576
Deposit date:
2017-06-24
ARK identifier:

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