Global, regional, and national burden of tuberculosis, 1990–2016: results from the Global Burden of Diseases, Injuries, and Risk Factors 2016 Study

 

Authors
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
Format
Article
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publishedVersion
Description

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.
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.

Publication Year
2018
Language
eng
Topic
tuberculosis
HIV
tuberculin
Repository
RI INDICASAT
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https://doi.org/10.1016/S1473-3099(18)30625-X
http://repositorio-indicasat.org.pa/handle/123456789/235
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