Fiche du document
19 avril 2017
- doi: 10.4414/smw.2017.14423
- issn: 0036-7672
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.4414/smw.2017.14423
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/28421566
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1424-3997
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_DAF69BF169200
info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer
Sujets proches
Global health International health Health services Hygiene, Social Social hygiene Public hygiene Sanitary affairs Public health services Hygiene, Public Community healthCiter ce document
A. Flahault et al., « Precision global health in the digital age. », Serveur académique Lausannois, ID : 10.4414/smw.2017.14423
Métriques
Partage / Export
Résumé
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 maximising 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 proposed 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.