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Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study

dc.contributor.authorJames, Spencer L.
dc.contributor.authorCastle, Chris D.
dc.contributor.authorDingels, Zachary, V
dc.contributor.authorFox, Jack T.
dc.contributor.authorHamilton, Erin B.
dc.contributor.authorLiu, Zichen
dc.contributor.authorVos, Theo
dc.date.accessioned2026-10-09T21:50:22Z
dc.date.issued2020
dc.departmentYüksek İhtisas Üniversitesi
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.
dc.description.sponsorshipBill and Melinda Gates Foundation; Sanofi Pasteur; Wellcome Trust [201900/Z/16/Z] Funding Source: researchfish
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.
dc.identifier.doi10.1136/injuryprev-2019-043531
dc.identifier.endpage153
dc.identifier.issn1353-8047
dc.identifier.issn1475-5785
dc.identifier.issueSUPP_1
dc.identifier.orcid0000-0002-0709-5757
dc.identifier.orcid0000-0002-6484-3192
dc.identifier.orcid0000-0002-0611-7272
dc.identifier.orcid0000-0001-5481-696X
dc.identifier.orcid0000-0002-8009-470X
dc.identifier.orcid0000-0001-5230-1436
dc.identifier.orcid0000-0002-3802-7554
dc.identifier.pmid32839249
dc.identifier.scopus2-s2.0-85092681636
dc.identifier.scopusqualityQ1
dc.identifier.startpage125
dc.identifier.urihttps://doi.org/10.1136/injuryprev-2019-043531
dc.identifier.urihttps://hdl.handle.net/20.500.12794/3743
dc.identifier.volume26
dc.identifier.wosWOS:000576754700013
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynak.digerScience Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
dc.language.isoen
dc.publisherBmj Publishing Group
dc.relation.ispartofInjury Prevention
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260922
dc.subjectPopulations
dc.subjectContexts
dc.subjectMethodology
dc.subjectDescriptive Epidemiology
dc.subjectStatistical Issues
dc.titleEstimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
dc.typeArticle

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