Global, regional, and national burden of tuberculosis, 1990–2016: results from the Global Burden of Diseases, Injuries, and Risk Factors 2016 Study
Fecha
2018-12-01Autor
Kyu, Hmwe Hmwe
Maddison, Emilie R
Henry, Nathaniel J
Ledesma, Jorge R
Wiens, Kirsten E
Reiner Jr, Robert
Biehl, Molly H
Shields, Chloe
Osgood-Zimmerman, Aaron
Ross, Jennifer M
Carter, Austin
Frank, Tahvi D
Wang, Haidong
Srinivasan, Vinay
Agarwal, Sanjay Kumar
Alahdab, Fares
Alene, Kefyalew Addis
Abdulqadir Ali, Beriwan
Alvis-Guzman, Nelson
Andrews, Jason R
T Antonio, Carl Abelardo
Atique, Suleman
Atre, Sachin R
Awasthi, Ashish
Ayele, Henok Tadesse
Badali, Hamid
Badawi, Alaa
Barac, Aleksandra
Bedi, Neeraj
Behzadifar, Masoud
Behzadifar, Meysam
Begashaw Bekele, Bayu
Belay, Saba Abraham
Bensenor, Isabela M
Butt, Zahid A
Carvalho, Félix
Cercy, Kelly
Christopher, Devasahayam J
Kabeta Daba, Alemneh
Dandona, Lalit
Dandona, Rakhi
Daryani, Ahmad
Demeke, Feleke Mekonnen
Deribe, Kebede
Dhamminda Dharmaratne, Samath
Teye Doku, David
Dubey, Manisha
Edessa, Dumessa
El-Khatib, Ziad
Enany, Shymaa
Fernandes, Eduarda
Fischer, Florian
Garcia-Basteiro, Alberto L
Gebre, Abadi Kahsu
Berhe Gebregergs, Gebremedhin
Gebremichael, Teklu Gebrehiwo
Feto Gelano, Tilayie
Geremew, Demeke
Gona, Philimon N
Goodridge, Amador
Gupta, Rahul
Haghparast Bidgoli, Hassan
Bugssa Hailu, Gessessew
Yimam Hassen, Hamid
Tadesse Hedayati, Mohammad T
Henok, Andualem
Hostiuc, Sorin
Aman Hussen, Mamusha
Stephen Ilesanmi, Olayinka
Naghibi Irvani, Seyed Sina
Jacobsen, Kathryn H
Johnson, Sarah C
Jonas, Jost B
Kahsay, Amaha
Kant, Surya
Kasaeian, Amir
Dessale Kassa, Tesfaye
Saleh Khader, Yousef
Abdullatif Khafaie, Morteza
Khalil, Ibrahim
Ahmad Khan, Ejaz
Khang, Young-Ho
Kim, Yun Jin
Kochhar, Sonali
Koyanagi, Ai
Krohn, Kristopher J
Kumar, G Anil
Molla Lakew, Ayenew
Tesema Leshargie, Cheru
Lodha, Rakesh
King Macarayan, Erlyn Rachelle
Majdzadeh, Reza
Martins-Melo, Francisco Rogerlândio
Melese, Addisu
Memish, Ziad A
Mendoza, Walter
Tadese Mengistu, Desalegn
Mengistu, Getnet
Mestrovic, Tomislav
Moazen, Babak
Abdulmuhsin Mohammad, Karzan
Mohammed, Shafiu
Mokdad, Ali H
Moosazadeh, Mahmood
Mousavi, Seyyed Meysam
Mustafa, Ghulam
Nachega, Jean B
Hoang Nguyen, Long
Hoang Nguyen, Son
Huyen Nguyen, Trang
Anggraini Ningrum, Dina Nur
Legesse Nirayo, Yirga
Minh Nong, Vuong
Ofori-Asenso, Richard
Akpojene Ogbo, Felix
Oh, In-Hwan
Oladimeji, Olanrewaju
Olagunju, Andrew T
Oren, Eyal
Pereira, David M
Prakash, Swayam
Qorbani, Mostafa
Rafay, Anwar
Kumar Rai, Rajesh
Ram, Usha
Rubino, Salvatore
Safiri, Saeid
Salomon, Joshua A
Samy, Abdallah M
Sartorius, Benn
Satpathy, Maheswar
Seyedmousavi, Seyedmojtaba
Sharif, Mehdi
Silva, João Pedro
Alves Silveira, Dayane Gabriele
Singh, Jasvinder A
Sreeramareddy, Chandrashekhar T
Xuan Tran, Bach
Gebremeskel Tsadik, Afewerki
Nnanna Ukwaja, Kingsley
Ullah, Irfan
Uthman, Olalekan A
Vlassov, Vasily
Vollset, Stein Emil
Vu, Giang
Weldegebreal, Fitsum
Werdecker, Andrea
Yimer, Ebrahim M
Yonemoto, Naohiro
Yotebieng, Marcel
Metadatos
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Background Although a preventable and treatable disease, tuberculosis causes more than a million deaths each year. As countries work towards achieving the Sustainable Development Goal (SDG) target to end the tuberculosis epidemic by 2030, robust assessments of the levels and trends of the burden of tuberculosis are crucial to inform policy and programme decision making. We assessed the levels and trends in the fatal and non-fatal burden of tuberculosis by drug resistance and HIV status for 195 countries and territories from 1990 to 2016. Methods We analysed 15 943 site-years of vital registration data, 1710 site-years of verbal autopsy data, 764 site-years of sample-based vital registration data, and 361 site-years of mortality surveillance data to estimate mortality due to tuberculosis using the Cause of Death Ensemble model. We analysed all available data sources, including annual case notifications, prevalence surveys, population-based tuberculin surveys, and estimated tuberculosis cause-specific mortality to generate internally consistent estimates of incidence, prevalence, and mortality using DisMod-MR 2.1, a Bayesian meta-regression tool. We assessed how the burden of tuberculosis differed from the burden predicted by the Socio-demographic Index (SDI), a composite indicator of income per capita, average years of schooling, and total fertility rate.