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

Detalhes bibliográficos
Autor(a) principal: James, SL
Data de Publicação: 2020
Outros Autores: 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, Eddine, Aichour, MT, 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, Abdeldayem, Amer, YS, Andrei, CL, Ansari-Moghaddam, A, T Antonio, CA, Anvari, D, Yaw, Appiah, SC, Arabloo, J, Arab-Zozani, M, Arefi, Z, Aremu, O, Ariani, F, Arora, A, Asaad, M, Ayala Quintanilla, BP, 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, et, al.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/143187
Resumo: 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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spelling Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 studyBackground. 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.BMJ Publishing Group20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/143187eng1353-80471475-578510.1136/injuryprev-2019-043531James, SLCastle, CDDingels, ZVFox, JTHamilton, EBLiu, ZRoberts, NLSSylte, DOBertolacci, GJCunningham, MHenry, NJLeGrand, KEAbdelalim, AAbdollahpour, IAbdulkader, RSAbedi, AAbegaz, KHAbosetugn, AEAbushouk, AIAdebayo, OMAdsuar, JCAdvani, SMAgudelo-Botero, MAhmad, TAhmed, MBAhmed, REddine, Aichour, MTAlahdab, FAlanezi, FMAlema, NMAlemu, BWAlghnam, SAAli, BAAli, SAlinia, CAlipour, VAljunid, SMAlmasi-Hashiani, AAlmasri, NAAltirkawi, KAbdeldayem, Amer, YSAndrei, CLAnsari-Moghaddam, AT Antonio, CAAnvari, DYaw, Appiah, SCArabloo, JArab-Zozani, MArefi, ZAremu, OAriani, FArora, AAsaad, MAyala Quintanilla, BPAyano, GAyanore, MAAzarian, GBadawi, ABadiye, ADBaig, AABairwa, MBakhtiari, ABalachandran, ABanach, MBanerjee, SKBanik, PCBanstola, ABarker-Collo, SLBärnighausen, TWBarzegar, ABayati, MBazargan-Hejazi, SBedi, NBehzadifar, MBelete, HBennett, DABensenor, IMBerhe, KBhagavathula, ASBhardwaj, PBhat, AGBhattacharyya, KBhutta, ZABibi, SBijani, ABoloor, ABorges, GBorschmann, RBorzì, AMBoufous, SBraithwaite, DBriko, NIBrugha, TBudhathoki, SSCar, JCárdenas, RCarvalho, FCastaldelli-Maia, JMCastañeda-Orjuela, CACastelpietra, Get, al.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T12:42:18Zoai:repositorio-aberto.up.pt:10216/143187Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:25:07.895598Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
title Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
spellingShingle Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
James, SL
title_short Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
title_full Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
title_fullStr Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
title_full_unstemmed Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
title_sort Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
author James, SL
author_facet 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
Eddine, Aichour, MT
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
Abdeldayem, Amer, YS
Andrei, CL
Ansari-Moghaddam, A
T Antonio, CA
Anvari, D
Yaw, Appiah, SC
Arabloo, J
Arab-Zozani, M
Arefi, Z
Aremu, O
Ariani, F
Arora, A
Asaad, M
Ayala Quintanilla, BP
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
et, al.
author_role author
author2 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
Eddine, Aichour, MT
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
Abdeldayem, Amer, YS
Andrei, CL
Ansari-Moghaddam, A
T Antonio, CA
Anvari, D
Yaw, Appiah, SC
Arabloo, J
Arab-Zozani, M
Arefi, Z
Aremu, O
Ariani, F
Arora, A
Asaad, M
Ayala Quintanilla, BP
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
et, al.
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dc.contributor.author.fl_str_mv 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
Eddine, Aichour, MT
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
Abdeldayem, Amer, YS
Andrei, CL
Ansari-Moghaddam, A
T Antonio, CA
Anvari, D
Yaw, Appiah, SC
Arabloo, J
Arab-Zozani, M
Arefi, Z
Aremu, O
Ariani, F
Arora, A
Asaad, M
Ayala Quintanilla, BP
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
et, al.
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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/143187
url https://hdl.handle.net/10216/143187
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1353-8047
1475-5785
10.1136/injuryprev-2019-043531
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BMJ Publishing Group
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