Abstract
| Original language | English |
|---|---|
| Pages (from-to) | i125-i153 |
| Number of pages | 29 |
| Journal | Injury Prevention |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2020 |
Bibliographical note
Publisher Copyright:© Author(s) (or their employer(s)) 2020. Re-use permitted under CC B Y. Published by BMJ.
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In: Injury Prevention, Vol. 26, No. 1, 2020, p. i125-i153.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Estimating global injuries morbidity and mortality : methods and data used in the Global Burden of Disease 2017 study
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AU - Castle, Chris D.
AU - Dingels, Zachary V.
AU - Fox, Jack T.
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AU - Bedi, Neeraj
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AU - Berhe, Kidanemaryam
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AU - Borges, Guilherme
AU - Borschmann, Rohan
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AU - Brugha, Traolach
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AU - Catalá-López, Ferrán
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AU - Chapman, Jens Robert
AU - Chattu, Vijay Kumar
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AU - Chatziralli, Irini
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AU - Cicuttini, Flavia M.
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AU - Demsie, Desalegn Getnet
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AU - Da Silva, Diana Dias
AU - Dibaji Forooshani, Zahra Sadat
AU - Do, Hoa Thi
AU - Doyle, Kerrie E.
AU - Driscoll, Tim Robert
AU - Dubljanin, Eleonora
AU - Adema, Bereket Duko
AU - Eagan, Arielle Wilder
AU - Elemineh, Demelash Abewa
AU - El-Jaafary, Shaimaa I.
AU - El-Khatib, Ziad
AU - Ellingsen, Christian Lycke
AU - El Sayed Zaki, Maysaa
AU - Eskandarieh, Sharareh
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AU - Faris, Pawan Sirwan
AU - Faro, Andre
AU - Farzadfar, Farshad
AU - Fereshtehnejad, Seyed-Mohammad
AU - Fernandes, Eduarda
AU - Ferrara, Pietro
AU - Fischer, Florian
AU - Folayan, Morenike Oluwatoyin
AU - Fomenkov, Artem Alekseevich
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AU - Francis, Joel Msafiri
AU - Franklin, Richard Charles
AU - Fukumoto, Takeshi
AU - Geberemariyam, Biniyam Sahiledengle
AU - Gebremariam, Hadush
AU - Gebremedhin, Ketema Bizuwork
AU - Gebremeskel, Leake G.
AU - Gebremeskel, Gebreamlak Gebremedhn
AU - Gebremichael, Berhe
AU - Gedefaw, Getnet Azeze
AU - Geta, Birhanu
AU - Getenet, Agegnehu Bante
AU - Ghafourifard, Mansour
AU - Ghamari, Farhad
AU - Gheshlagh, Reza Ghanei
AU - Gholamian, Asadollah
AU - Gilani, Syed Amir
AU - Gill, Tiffany K.
AU - Goudarzian, Amir Hossein
AU - Goulart, Alessandra C.
AU - Grada, Ayman
AU - Grivna, Michal
AU - Guimarães, Rafael Alves
AU - Guo, Yuming
AU - Gupta, Gaurav
AU - Haagsma, Juanita A.
AU - Hall, Brian James
AU - Hamadeh, Randah R.
AU - Hamidi, Samer
AU - Handiso, Demelash Woldeyohannes
AU - Haro, Josep Maria
AU - Hasanzadeh, Amir
AU - Hassan, Shoaib
AU - Hassanipour, Soheil
AU - Hassankhani, Hadi
AU - Hassen, Hamid Yimam
AU - Havmoeller, Rasmus
AU - Hendrie, Delia
AU - Heydarpour, Fatemeh
AU - Híjar, Martha
AU - Ho, Hung Chak
AU - Hoang, Chi Linh
AU - Hole, Michael K.
AU - Holla, Ramesh
AU - Hossain, Naznin
AU - Hosseinzadeh, Mehdi
AU - Hostiuc, Sorin
AU - Hu, Guoqing
AU - Ibitoye, Segun Emmanuel
AU - Ilesanmi, Olayinka Stephen
AU - Inbaraj, Leeberk Raja
AU - Irvani, Seyed Sina Naghibi
AU - Islam, M. Mofizul
AU - Islam, SHeikh Mohammed Shariful
AU - Ivers, Rebecca Q.
AU - Jahani, Mohammad Ali
AU - Jakovljevic, Mihajlo
AU - Jalilian, Farzad
AU - Jayaraman, Sudha
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AU - Jha, Ravi Prakash
AU - John-Akinola, Yetunde O.
AU - Jonas, Jost B.
AU - Jones, Kelly M.
AU - Joseph, Nitin
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AU - Jozwiak, Jacek Jerzy
AU - Jungari, Suresh Banayya
AU - Jürisson, Mikk
AU - Kabir, Ali
AU - Kahsay, Amaha
AU - Kalankesh, Leila R.
AU - Kalhor, Rohollah
AU - Kamil, Teshome Abegaz
AU - Kanchan, Tanuj
AU - Kapoor, Neeti
AU - Karami, Manoochehr
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AU - Kassaye, Hagazi Gebremedhin
AU - Kavetskyy, Taras
AU - Kayode, Gbenga A.
AU - Keiyoro, Peter Njenga
AU - Kelbore, Abraham Getachew
AU - Khader, Yousef Saleh
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AU - Khalid, Nauman
AU - Khalil, Ibrahim A.
AU - Khalilov, Rovshan
AU - Khan, Maseer
AU - Khan, Ejaz Ahmad
AU - Khan, Junaid
AU - Khanna, Tripti
AU - Khazaei, Salman
AU - Khazaie, Habibolah
AU - Khundkar, Roba
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AU - Kim, Young-Eun
AU - Kim, Yun Jin
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AU - Kisa, Sezer
AU - Kisa, Adnan
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AU - Koolivand, Ali
AU - Korshunov, Vladimir Andreevich
AU - Koyanagi, Ai
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N1 - Publisher Copyright: © Author(s) (or their employer(s)) 2020. Re-use permitted under CC B Y. Published by BMJ.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - https://hdl.handle.net/1959.7/uws:63160
U2 - 10.1136/injuryprev-2019-043531
DO - 10.1136/injuryprev-2019-043531
M3 - Article
C2 - 32839249
SN - 1353-8047
VL - 26
SP - i125-i153
JO - Injury Prevention
JF - Injury Prevention
IS - 1
ER -