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dc.contributor.authorJames, Spenser L.
dc.contributor.authorCastle, Chris D.
dc.contributor.authorDingels, Zachary V.
dc.contributor.authorFox, Jack T.
dc.contributor.authorKisa, Adnan
dc.contributor.authorKisa, Sezer
dc.contributor.authorVos, Theo
dc.contributor.authorReiner, Robert C.
dc.date.accessioned2020-10-07T21:42:05Z
dc.date.accessioned2021-01-25T10:32:11Z
dc.date.available2020-10-07T21:42:05Z
dc.date.available2021-01-25T10:32:11Z
dc.date.issued2020-08-24
dc.identifier.citationJames, Castle CD, Dingels ZV, Fox JT, Kisa A, Kisa S, Vos T, Reiner RC. Estimating global injuries morbidity and mortality:methods and data used in the Global Burden ofDisease 2017 study. Injury Prevention. 2020:i125-i153en
dc.identifier.issn1353-8047
dc.identifier.issn1353-8047
dc.identifier.issn1475-5785
dc.identifier.urihttps://hdl.handle.net/10642/9413
dc.description.abstractBackground: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.en
dc.description.sponsorshipThis study was funded by The Bill and Melinda Gates Foundation. SLJ conducts research for a grant on influenza and RSV which is funded in part by Sanofi Pasteur.en
dc.language.isoenen
dc.publisherBMJ Publishing Groupen
dc.relation.ispartofseriesInjury Prevention;Volume 26, Issue Supp 1
dc.rightsCreative Commons Attribution 4.0 Unported (CC BY 4.0) Licenseen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGlobal injuriesen
dc.subjectMorbidityen
dc.subjectMortalityen
dc.subjectEstimatesen
dc.subjectDisabilitiesen
dc.subjectDataen
dc.titleEstimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 studyen
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2020-10-07T21:42:05Z
dc.description.versionpublishedVersionen
dc.identifier.doihttp://dx.doi.org/10.1136/injuryprev-2019-043531
dc.identifier.cristin1838076
dc.source.journalInjury Prevention


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