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

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Title: Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
Authors: James, SL
Castle, CD
Dingels, ZV
Fox, JT
Hamilton, EB
Liu, Z
Roberts, NLS
Sylte, DO
Bertolacci, GJ
Cunningham, M
Henry, NJ
Korshunov, VA
Koyanagi, A
Kraemer, MUG
Krishan, K
Defo, BK
Eddine Aichour, MT
Bicer, BK
Kugbey, N
Kumar, N
Cho, DY
Haro, JM
Kumar, M
Kumar, V
Kumar, N
Kumaresh, G
Lami, FH
Lansingh, VC
Lasrado, S
Alahdab, F
Latifi, A
Lauriola, P
Hasanzadeh, A
Choi, J-YJ
Vecchia, CL
Leasher, JL
Huey Lee, SW
Li, S
Liu, X
Lopez, AD
Lotufo, PA
Lyons, RA
Alanezi, FM
Hassan, S
Machado, DB
LeGrand, KE
Madadin, M
Abd El Razek, MM
Mahotra, NB
Majdan, M
Majeed, A
Maled, V
Malta, DC
Manafi, N
Hassanipour, S
Manafi, A
Alema, NM
Kabir Chowdhury, MA
Manda, A-L
Manjunatha, N
Mansour-Ghanaei, F
Mansournia, MA
Maravilla, JC
Mason-Jones, AJ
Masoumi, SZ
Hassankhani, H
Massenburg, BB
Maulik, PK
Mehndiratta, MM
Christopher, DJ
Alemu, BW
Melketsedik, ZA
Memiah, PTN
Mendoza, W
Menezes, RG
Mengesha, MM
Hassen, HY
Meretoja, TJ
Meretoja, A
Merie, HE
Mestrovic, T
Chu, D-T
Miazgowski, B
Alghnam, SA
Miazgowski, T
Miller, TR
Mini, GK
Havmoeller, R
Mirica, A
Mirrakhimov, EM
Mirzaei-Alavijeh, M
Mithra, P
Moazen, B
Cicuttini, FM
Moghadaszadeh, M
Mohamadi, E
Ali, BA
Mohammad, Y
Hendrie, D
Darwesh, AM
Mohammadian-Hafshejani, A
Mohammadpourhodki, R
Mohammed, S
Mohammed, JA
Mohebi, F
Coelho, JM
Mohseni Bandpei, MA
Molokhia, M
Monasta, L
Heydarpour, F
Ali, S
Moodley, Y
Moradi, M
Moradi, G
Moradi-Lakeh, M
Moradzadeh, R
Morawska, L
Costa, VM
Velásquez, IM
Morrison, SD
Adebayo, OM
Mossie, TB
Muluneh, AG
Alinia, C
Musa, KI
Mustafa, G
Naderi, M
Nagarajan, AJ
Naik, G
Dahlawi, SMA
Naimzada, MD
Catalá-López, F
Najafi, F
Nangia, V
Nascimento, BR
Naserbakht, M
Alipour, V
Nayak, V
Nazari, J
Ndwandwe, DE
Negoi, I
Daryani, A
Híjar, M
Ngunjiri, JW
Nguyen, TH
Nguyen, CT
Nguyen, DN
Thi Nguyen, HL
Nikbakhsh, R
Aljunid, SM
Anggraini Ningrum, DN
Nnaji, CA
Ofori-Asenso, R
Ho, HC
Dávila-Cervantes, CA
Ogbo, FA
Oghenetega, OB
Oh, I-H
Olagunju, AT
Olagunju, TO
Bali, AO
Onwujekwe, OE
Almasi-Hashiani, A
Orpana, HM
Hoang, CL
Ota, E
Leo, DD
Otstavnov, N
Otstavnov, SS
P A, M
Padubidri, JR
Pakhale, S
Pakshir, K
Panda-Jonas, S
Park, E-K
Hole, MK
Almasri, NA
Patel, SK
Abdelalim, A
Pathak, A
Pati, S
Paulos, K
Peden, AE
Filipino Pepito, VC
Pereira, J
Phillips, MR
Holla, R
Polibin, RV
Polinder, S
Altirkawi, K
Demeke, FM
Pourmalek, F
Pourshams, A
Poustchi, H
Prakash, S
Angga Pribadi, DR
Puri, P
Hossain, N
Syed, ZQ
Rabiee, N
Rabiee, M
Radfar, A
Demoz, GT
Abdeldayem Amer, YS
Rafay, A
Rafiee, A
Rafiei, A
Rahim, F
Hosseinzadeh, M
Rahimi, S
Rahman, MA
Rajabpour-Sanati, A
Rajati, F
Rakovac, I
Demsie, DG
Rao, SJ
Andrei, CL
Rashedi, V
Rastogi, P
Hostiuc, S
Rathi, P
Rawaf, S
Rawal, L
Rawassizadeh, R
Renjith, V
Resnikoff, S
Deribe, K
Rezapour, A
Ribeiro, AI
Ansari-Moghaddam, A
Hu, G
Rickard, J
Rios González, CM
Roever, L
Ronfani, L
Roshandel, G
Saddik, B
Safarpour, H
Desai, R
Safdarian, M
Mohammad Sajadi, S
Ibitoye, SE
Salamati, P
T Antonio, CA
Rashad Salem, MR
Salem, H
Salz, I
Samy, AM
Sanabria, J
Riera, LS
Nasab, MD
Santric Milicevic, MM
Cerin, E
Sarker, AR
Sarveazad, A
Sathian, B
Anvari, D
Sawhney, M
Sayyah, M
Schwebel, DC
Seedat, S
Senthilkumaran, S
Silva, DDD
Adsuar, JC
Seyedmousavi, S
Sha, F
Shaahmadi, F
Shahabi, S
Shaikh, MA
Yaw Appiah, SC
Shams-Beyranvand, M
Sheikh, A
Shigematsu, M
Shin, JI
Ilesanmi, OS
Dibaji Forooshani, ZS
Shiri, R
Siabani, S
Sigfusdottir, ID
Singh, JA
Singh, PK
Sinha, DN
Arabloo, J
Soheili, A
Soriano, JB
Inbaraj, LR
Sorrie, MB
Do, HT
Soyiri, IN
Stokes, MA
Sufiyan, MB
Sykes, BL
Tabarés-Seisdedos, R
Tabb, KM
Taddele, BW
Arab-Zozani, M
Naghibi Irvani, SS
Tefera, YM
Tehrani-Banihashemi, A
Doyle, KE
Tekulu, GH
Tesema Tesema, AK
Tesfay, BE
Thapar, R
Titova, MV
Tlaye, KG
Tohidinik, HR
Mofizul Islam, M
Topor-Madry, R
Arefi, Z
Tran, KB
Abdollahpour, I
Tran, BX
Tripathy, JP
Tsai, AC
Tsatsakis, A
Car, LT
Ullah, I
Shariful Islam, SM
Ullah, S
Unnikrishnan, B
Upadhyay, E
Aremu, O
Driscoll, TR
Uthman, OA
Valdez, PR
Vasankari, TJ
Veisani, Y
Venketasubramanian, N
Ivers, RQ
Violante, FS
Vlassov, V
Waheed, Y
Wang, Y-P
Wiangkham, T
Dubljanin, E
Ariani, F
Wolde, HF
Woldeyes, DH
Wondmeneh, TG
Jahani, MA
Wondmieneh, AB
Wu, A-M
Wyper, GMA
Yadav, R
Yadollahpour, A
Yano, Y
Adema, BD
Yaya, S
Arora, A
Yazdi-Feyzabadi, V
Jakovljevic, M
Ye, P
Yip, P
Yisma, E
Yonemoto, N
Yoon, S-J
Youm, Y
Younis, MZ
Eagan, AW
Yousefi, Z
Yu, C
Jalilian, F
Asaad, M
Yu, Y
Moghadam, TZ
Zaidi, Z
Zaman, SB
Zamani, M
Zandian, H
Zarei, F
Elemineh, DA
Zhang, Z-J
Chandan, JS
Zhang, Y
Ziapour, A
Ayala Quintanilla, BP
Zodpey, S
Dandona, R
Dharmaratne, SD
Hay, SI
Mokdad, AH
Pigott, DM
El-Jaafary, SI
Jayaraman, S
Reiner, RC
Vos, T
Ayano, G
Ayanore, MA
Azarian, G
Badawi, A
Badiye, AD
Baig, AA
Bairwa, M
Bakhtiari, A
Advani, SM
El-Khatib, Z
Balachandran, A
Banach, M
Banerjee, SK
Banik, PC
Banstola, A
Barker-Collo, SL
Bärnighausen, TW
Barzegar, A
Bayati, M
Jayatilleke, AU
Bazargan-Hejazi, S
Ellingsen, CL
Bedi, N
Behzadifar, M
Belete, H
Bennett, DA
Bensenor, IM
Berhe, K
Bhagavathula, AS
Bhardwaj, P
Jha, RP
Bhat, AG
Bhattacharyya, K
Zaki, MES
Bhutta, ZA
Bibi, S
Bijani, A
Boloor, A
Borges, G
Borschmann, R
Borzì, AM
John-Akinola, YO
Boufous, S
Braithwaite, D
Briko, NI
Eskandarieh, S
Brugha, T
Budhathoki, SS
Car, J
Cárdenas, R
Carvalho, F
Castaldelli-Maia, JM
Jonas, JB
Castañeda-Orjuela, CA
Castelpietra, G
Abdulkader, RS
Eyawo, O
Faris, PS
Faro, A
Farzadfar, F
Fereshtehnejad, S-M
Fernandes, E
Ferrara, P
Jones, KM
Fischer, F
Folayan, MO
Fomenkov, AA
Abedi, A
Foroutan, M
Francis, JM
Franklin, RC
Fukumoto, T
Geberemariyam, BS
Gebremariam, H
Joseph, N
Gebremedhin, KB
Gebremeskel, LG
Gebremeskel, GG
Gebremichael, B
Abegaz, KH
Gedefaw, GA
Geta, B
Getenet, AB
Ghafourifard, M
Ghamari, F
Joukar, F
Gheshlagh, RG
Gholamian, A
Gilani, SA
Gill, TK
Goudarzian, AH
Abosetugn, AE
Goulart, AC
Grada, A
Grivna, M
Guimarães, RA
Jozwiak, JJ
Guo, Y
Gupta, G
Haagsma, JA
Hall, BJ
Hamadeh, RR
Hamidi, S
Abushouk, AI
Handiso, DW
Chapman, JR
Jungari, SB
Jürisson, M
Agudelo-Botero, M
Kabir, A
Kahsay, A
Kalankesh, LR
Kalhor, R
Kamil, TA
Kanchan, T
Kapoor, N
Chattu, VK
Karami, M
Kasaeian, A
Kassaye, HG
Ahmad, T
Kavetskyy, T
Kayode, GA
Keiyoro, PN
Kelbore, AG
Khader, YS
Khafaie, MA
Chattu, SK
Khalid, N
Khalil, IA
Khalilov, R
Khan, M
Ahmed, MB
Khan, EA
Khan, J
Khanna, T
Khazaei, S
Khazaie, H
Chatziralli, I
Khundkar, R
Kiirithio, DN
Kim, Y-E
Kim, YJ
Kim, D
Ahmed, R
Kisa, S
Kisa, A
Komaki, H
Kondlahalli, SKM
Chaudhary, N
Koolivand, A
Item Type: Journal Article
Abstract: 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.
Issue Date: 24-Aug-2020
Date of Acceptance: 6-Dec-2019
URI: http://hdl.handle.net/10044/1/81947
DOI: 10.1136/injuryprev-2019-043531
ISSN: 1353-8047
Publisher: BMJ Publishing Group
Start Page: i125
End Page: i153
Journal / Book Title: Injury Prevention
Volume: 26
Issue: Supp 1
Copyright Statement: © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
Keywords: descriptive epidemiology
methodology
populations/contexts
statistical issues
descriptive epidemiology
methodology
populations/contexts
statistical issues
Public Health
1106 Human Movement and Sports Sciences
1117 Public Health and Health Services
1701 Psychology
Publication Status: Published
Conference Place: England
Open Access location: https://injuryprevention.bmj.com/content/early/2020/08/24/injuryprev-2019-043531
Online Publication Date: 2020-08-24
Appears in Collections:Faculty of Medicine
School of Public Health



This item is licensed under a Creative Commons License Creative Commons