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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11160%2F20%3A10425986" target="_blank" >RIV/00216208:11160/20:10425986 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=GWsy0nqwTx" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=GWsy0nqwTx</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1136/injuryprev-2019-043531" target="_blank" >10.1136/injuryprev-2019-043531</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30104 - Pharmacology and pharmacy

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Injury Prevention

  • ISSN

    1353-8047

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    Supp 1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    29

  • Pages from-to

    125-153

  • UT code for WoS article

    000576754700013

  • EID of the result in the Scopus database

    2-s2.0-85092681636