biostudies-literatureJames SLWorld Health OrganizationFIC NIH HHSNational Institute for Health Research (NIHR)NCI NIH HHSBill and Melinda Gates FoundationWellcome Trusti125-i153https://www.ebi.ac.uk/biostudies/studies/S-EPMC7571362biostudies-literatureUnknown26(Supp 1)<h4>Background</h4>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.<h4>Methods</h4>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 thenInjury prevention : journal of the International Society for Child and Adolescent Injury PreventionEstimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study.PMC7571362001201900/Z/16/ZOPP1152504201900P20 CA210284ACF-2018-08-001R21 TW010439Kondlahalli SKMOrpana HMAngga Pribadi DRSylte DOGilani SABedi NManjunatha NMiazgowski BZandian HMalta DCLyons RALatifi AMemiah PTNMengesha MMMokdad AHBorschmann RRahman MAMustafa GBanach MEddine Aichour MTYounis MZP A MKarami MManafi NRenjith VDavila-Cervantes CADemoz GTOh IHPakhale SStokes MAWang YPKabir AKavetskyy TManafi AOlagunju TOKraemer MUGPolinder SRoshandel GRonfani LGoulart ACNazari JBriko NIAyanore MAMeretoja AHaro JMDharmaratne SDChandan JSYadav RHosseinzadeh MSantric Milicevic MMYu YRawal LAyala Quintanilla BPKhan EAGheshlagh RGJones KMSchwebel DCSilva DDDAnggraini Ningrum DNFukumoto TBicer BKUpadhyay EAbd El Razek MMWu AMKhalilov RFrancis 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DNAhmed MBMohammed SMachado DBPaulos KAbdelalim AKabir Chowdhury MAOgbo FANascimento BRGoudarzian AHCunningham MRashedi VSanabria JMoradzadeh RKalankesh LRKhader YSRabiee NRabiee MMolokhia MHu GMoghadam TZAdebayo OMMonasta LBakhtiari AWiangkham THolla RAdvani SMAyano GKomaki HSheikh AAnvari DTesfay BEWondmeneh TGBarzegar AKoyanagi ASykes BLLauriola PAbegaz KHNaimzada MDWolde HFDemsie DGSoriano JBChu DTYip PAsaad MJayaraman SPereira JRickard JAbdulkader RSRafiee AZhang ZJMoodley YUllah SShariful Islam SMNaderi MUllah IMelketsedik ZATesema Tesema AKArora AChaudhary NEyawo OYazdi-Feyzabadi VFaro AEl-Khatib ZKorshunov VASalz IGhamari FForoutan MMansour-Ghanaei FRahimi SRashad Salem MRSathian BTsai ACGupta GDriscoll TRMohammed JAAzarian GRoever LPoustchi HVos THasanzadeh AHassanipour SBoufous SPourmalek FBanerjee SKMaled VSafdarian MCar LTNguyen DNMuluneh AGFernandes EHamadeh RRHassen HYLi SHo HCHoang CLGebremariam HLeasher JLNguyen CTAbedi AAgudelo-Botero MMithra PMestrovic TFomenkov AAKhalil IAAremu OBairwa MCosta VMArefi ZGholamian AOtstavnov SSShin JIZaki MESKhanna TTran BXBayati MGedefaw GARawaf SSarker ARHendrie DUnnikrishnan BPathak AElemineh DAOfori-Asenso RGebremeskel LGIbitoye SERahim FManda ALCarvalho FCatala-Lopez FIvers RQJahani MAIlesanmi OSAndrei CLBadawi AChattu SKPeden AEHijar MZhang YBadiye ADMoradi-Lakeh MRao SJMohammad Sajadi SMerie HESarveazad ATripathy JPSamy AMBijani AAbosetugn AEDubljanin EMansournia MAVecchia CYonemoto NCerin EMason-Jones AJAli BADarwesh AMSayyah MLeGrand KEThapar RHassankhani HZaman SBZamani MMiller TRYoum YKumaresh GFolayan MORibeiro AIFischer FGrivna MKim DTaddele BWMassenburg BBBensenor IMBertolacci GJNikbakhsh RAlemu BWDo HTAlinia CTitova MVGebremeskel GGTabares-Seisdedos RHostiuc SNaghibi Irvani SSKhundkar RSenthilkumaran SKapoor NPuri PReiner RCSeedat SPigott DMGuimaraes RAMehndiratta MMNasab MDRadfar AFaris PSNangia VEskandarieh SMaravilla JCRafiei AZiapour AMirzaei-Alavijeh MLotufo PARastogi PDahlawi SMAKhazaei SVelasquez IMDibaji Forooshani ZSKumar VAljunid SMMohseni Bandpei MAGetenet ABMini GKAhmad TKumar MKumar NBhagavathula ASPark EKBraithwaite DHaagsma JAFox JTHay SIFilipino Pepito VCCastelpietra GGeta BRakovac IHandiso DWFerrara PTekulu GHCho DYLansingh VCBazargan-Hejazi SAdema BDRathi PBali AORiera LSBarnighausen TWOtstavnov NRezapour ALasrado SHeydarpour FBaig AANaik GRafay AYisma EArabloo JMeretoja TJSawhney MAlanezi FMTsatsakis AAnsari-Moghaddam ABanik PCKim YJAlmasri NABehzadifar MChoi JJKim YEHamidi SSoyiri INYousefi ZBudhathoki SSChatziralli ILopez ADBorges GPakshir KZodpey SJurisson MJoseph NMohammadpourhodki RMajeed ABanstola AViolante FSJozwiak JJfalseEstimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study.<h4>Background</h4>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.<h4>Methods</h4>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 then2020-01-01T00:00:00Z2020 Oct2026-07-16T06:52:03.272Z2026-07-09T10:42:16.012ZS-EPMC75713623283924910.1136/injuryprev-2019-043531