疾病负担
潜在生命损失数年
估计
伤害预防
医学
入射(几何)
毒物控制
疾病负担
死因
职业安全与健康
疾病
自杀预防
死亡率
人为因素与人体工程学
人口学
医疗急救
环境卫生
人口
预期寿命
外科
工程类
光学
社会学
病理
系统工程
物理
作者
Spencer L James,Chris D Castle,Zachary V Dingels,Jack T Fox,Erin B Hamilton,Zichen Liu,Nicholas L S Roberts,Dillon O Sylte,Gregory J Bertolacci,Matthew Cunningham,Nathaniel J Henry,Kate E LeGrand,Ahmed Abdelalim,Ibrahim Abdollahpour,Rizwan Suliankatchi Abdulkader,Aidin Abedi,Kedir Hussein Abegaz,Akine Eshete,Abdelrahman Ibrahim Abushouk,Oladimeji Adebayo
标识
DOI:10.1136/injuryprev-2019-043531
摘要
BACKGROUND: 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.
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