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

TitleEstimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
Authors
Keywordsdescriptive epidemiology
methodology
populations/contexts
statistical issues
Issue Date2020
PublisherBMJ Publishing Group. The Journal's web site is located at http://www.injuryprevention.com
Citation
Injury Prevention, 2020, v. 26 n. suppl. 1, p. i125-i153 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/302136
ISSN
2020 Impact Factor: 2.399
2020 SCImago Journal Rankings: 0.745
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorCerin, E-
dc.contributor.authorHo, HC-
dc.contributor.authorYip, P-
dc.contributor.authorGBD Collaborators-
dc.date.accessioned2021-08-27T06:19:57Z-
dc.date.available2021-08-27T06:19:57Z-
dc.date.issued2020-
dc.identifier.citationInjury Prevention, 2020, v. 26 n. suppl. 1, p. i125-i153-
dc.identifier.issn1353-8047-
dc.identifier.urihttp://hdl.handle.net/10722/302136-
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.languageeng-
dc.publisherBMJ Publishing Group. The Journal's web site is located at http://www.injuryprevention.com-
dc.relation.ispartofInjury Prevention-
dc.rightsInjury Prevention. Copyright © BMJ Publishing Group.-
dc.rightsAuthor’s Accepted Manuscript This article has been accepted for publication in [Journal, Year] following peer review, and the Version of Record can be accessed online at [insert full DOI eg. http://dx.doi.org/10.1136/xxxxx © Authors (or their employer(s)) OR © BMJ Publishing Group Ltd ( for assignments of BMJ Case Reports) <year>-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectdescriptive epidemiology-
dc.subjectmethodology-
dc.subjectpopulations/contexts-
dc.subjectstatistical issues-
dc.titleEstimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study-
dc.typeArticle-
dc.identifier.emailCerin, E: ecerin@hku.hk-
dc.identifier.emailHo, HC: hcho21@hku.hk-
dc.identifier.emailYip, P: sfpyip@hku.hk-
dc.identifier.authorityCerin, E=rp00890-
dc.identifier.authorityHo, HC=rp02482-
dc.identifier.authorityYip, P=rp00596-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1136/injuryprev-2019-043531-
dc.identifier.pmid32839249-
dc.identifier.pmcidPMC7571362-
dc.identifier.scopuseid_2-s2.0-85092681636-
dc.identifier.hkuros314320-
dc.identifier.volume26-
dc.identifier.issuesuppl. 1-
dc.identifier.spagei125-
dc.identifier.epagei153-
dc.publisher.placeUnited Kingdom-

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