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Could “academic crowd–sourcing” address gaps in global health estimates

Bibliographic Data

ID19550317
AuthorsIgor Rudan (0000-0001-6993-6884, University of Edinburgh), Harry Campbell (0000-0002-6169-6262, University of Edinburgh), Ana Marušić (0000-0001-6272-0917, University of Split), Devi Sridhar (0000-0002-5058-9023, University of Edinburgh), Harish Nair (0000-0002-9432-9100, University of Edinburgh), Davies Adeloye (0000-0003-1316-8139, University of Edinburgh), Evropi Τheodoratou (0000-0001-5887-9132, University of Edinburgh), Evropi Theodoratou, Kit Y Chan (0000-0002-3465-8383, University of Edinburgh)
Year2015
Volume5
Issue1
Publication date2015-06-01
Open AccessYes
TypeARTICLE
VenueJournal of Global Health (JOURNAL)
Journal identifiersISSN: 2047-2978 • E-ISSN: 2047-2986
PublisherInternational Global Health Society (PUBLISHER)
DOI10.7189/jogh.05.0100101
OpenAlexW4242997830
LanguageEN

apid development of information technologies in the past two decades has brought about major improvements in the generation, sharing and analysis of information on the health status of the entire human population. This has facilitated the development of the field of "Global Health Metrics", which has its champions in World Health Organization's Mortality and Burden of Disease Unit and University of Washington' s Institute for Health Metrics and Evaluation (IHME). A number of other groups, initiatives and institutions also contribute substantially to this field and regularly publish population health estimates. These include national epidemiological services, population-specific (eg, occupational, ethnic, age-and gender-defined) and disease-specific registries, academic research groups interested in specific health problems, pro

Business · Crowd sourcing · Data science · Geography · Global health · MEDLINE · Political science · Public health · Computer Science · Global Health and Surgery · Medicine · Nursing · scientometrics and bibliometrics research

Highly citedNo

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