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

James, SL, Castle, CD, Dingels, ZV, Fox, JT, Hamilton, EB, Liu, Z, Roberts, NLS, Sylte, DO, Bertolacci, GJ, Cunningham, M, Henry, NJ, Legrand, KE, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abedi, A, Abegaz, KH, Abosetugn, AE, Abushouk, AI, Adebayo, OM, Adsuar, JC, Advani, SM, Agudelo-Botero, M, Ahmad, T, Ahmed, MB, Ahmed, R, Aichour, MTE, Alahdab, F, Alanezi, FM, Alema, NM, Alemu, BW, Alghnam, SA, Ali, BA, Ali, S, Alinia, C, Alipour, V, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Altirkawi, K, Amer, YSA, Andrei, CL, Ansari-Moghaddam, A, Antonio, CAT, Anvari, D, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Arefi, Z, Aremu, O, Ariani, F, Arora, A, Asaad, M, Quintanilla, BPA, Ayano, G, Ayanore, MA, Azarian, G, Badawi, A, Badiye, AD, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barzegar, A, Bayati, M, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Belete, H, Bennett, DA, Bensenor, IM, Berhe, K, Bhagavathula, AS, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bijani, A, Boloor, A, Borges, G, Borschmann, R, Borzì, AM, Boufous, S, Braithwaite, D, Briko, NI, Brugha, T, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G and Shariful Islam, Sheikh Mohammed 2020, Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study, Injury prevention, vol. 26, no. Supplement 1, pp. i125-i153, doi: 10.1136/injuryprev-2019-043531.

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Title Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
Author(s) James, SL
Castle, CD
Dingels, ZV
Fox, JT
Hamilton, EB
Liu, Z
Roberts, NLS
Sylte, DO
Bertolacci, GJ
Cunningham, M
Henry, NJ
Legrand, KE
Abdelalim, A
Abdollahpour, I
Abdulkader, RS
Abedi, A
Abegaz, KH
Abosetugn, AE
Abushouk, AI
Adebayo, OM
Adsuar, JC
Advani, SM
Agudelo-Botero, M
Ahmad, T
Ahmed, MB
Ahmed, R
Aichour, MTE
Alahdab, F
Alanezi, FM
Alema, NM
Alemu, BW
Alghnam, SA
Ali, BA
Ali, S
Alinia, C
Alipour, V
Aljunid, SM
Almasi-Hashiani, A
Almasri, NA
Altirkawi, K
Amer, YSA
Andrei, CL
Ansari-Moghaddam, A
Antonio, CAT
Anvari, D
Appiah, SCY
Arabloo, J
Arab-Zozani, M
Arefi, Z
Aremu, O
Ariani, F
Arora, A
Asaad, M
Quintanilla, BPA
Ayano, G
Ayanore, MA
Azarian, G
Badawi, A
Badiye, AD
Baig, AA
Bairwa, M
Bakhtiari, A
Balachandran, A
Banach, M
Banerjee, SK
Banik, PC
Banstola, A
Barker-Collo, SL
Bärnighausen, TW
Barzegar, A
Bayati, M
Bazargan-Hejazi, S
Bedi, N
Behzadifar, M
Belete, H
Bennett, DA
Bensenor, IM
Berhe, K
Bhagavathula, AS
Bhardwaj, P
Bhat, AG
Bhattacharyya, K
Bhutta, ZA
Bibi, S
Bijani, A
Boloor, A
Borges, G
Borschmann, R
Borzì, AM
Boufous, S
Braithwaite, D
Briko, NI
Brugha, T
Budhathoki, SS
Car, J
Cárdenas, R
Carvalho, F
Castaldelli-Maia, JM
Castañeda-Orjuela, CA
Castelpietra, G
Shariful Islam, Sheikh MohammedORCID iD for Shariful Islam, Sheikh Mohammed orcid.org/0000-0001-7926-9368
Journal name Injury prevention
Volume number 26
Issue number Supplement 1
Start page i125
End page i153
Total pages 29
Publisher BMJ Publishing Group
Place of publication London, Eng.
Publication date 2020-10-01
ISSN 1353-8047
1475-5785
Keyword(s) descriptive epidemiology
methodology
populations/contexts
statistical issues
Summary 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.
Language eng
DOI 10.1136/injuryprev-2019-043531
Indigenous content off
Field of Research 1106 Human Movement and Sports Sciences
1117 Public Health and Health Services
1701 Psychology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30141332

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.