TY - JOUR
T1 - Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories
T2 - A systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017
AU - GBD 2017 HIV collaborators
AU - Frank, Tahvi D.
AU - Carter, Austin
AU - Jahagirdar, Deepa
AU - Biehl, Molly H.
AU - Douwes-Schultz, Dirk
AU - Larson, Samantha Leigh
AU - Arora, Megha
AU - Dwyer-Lindgren, Laura
AU - Steuben, Krista M.
AU - Abbastabar, Hedayat
AU - Abu-Raddad, Laith Jamal
AU - Abyu, Direslgne Misker
AU - Adabi, Maryam
AU - Adebayo, Oladimeji M.
AU - Adekanmbi, Victor
AU - Adetokunboh, Olatunji O.
AU - Ahmadi, Alireza
AU - Ahmadi, Keivan
AU - Ahmadian, Elham
AU - Ahmadpour, Ehsan
AU - Ahmed, Muktar Beshir
AU - Akal, Chalachew Genet
AU - Alahdab, Fares
AU - Alam, Noore
AU - Albertson, Samuel B.
AU - Alemnew, Birhan Tamene T.
AU - Alene, Kefyalew Addis
AU - Alipour, Vahid
AU - Alvis-Guzman, Nelson
AU - Amini, Saeed
AU - Anbari, Zohreh
AU - Anber, Nahla Hamed
AU - Anjomshoa, Mina
AU - Antonio, Carl Abelardo T.
AU - Arabloo, Jalal
AU - Aremu, Olatunde
AU - Areri, Habtamu Abera
AU - Asfaw, Ephrem Tsegay
AU - Ashagre, Alebachew Fasil
AU - Asmelash, Daniel
AU - Asrat, Anemaw A.
AU - Avokpaho, Euripide F.G.A.
AU - Awasthi, Ashish
AU - Awoke, Nefsu
AU - Ayanore, Martin Amogre
AU - Azari, Samad
AU - Badawi, Alaa
AU - Bagherzadeh, Mojtaba
AU - Banach, Maciej
AU - Barac, Aleksandra
AU - Bärnighausen, Till Winfried
AU - Basu, Sanjay
AU - Bedi, Neeraj
AU - Behzadifar, Masoud
AU - Bekele, Bayu Begashaw
AU - Belay, Saba Abraham
AU - Belay, Yared Belete
AU - Belayneh, Yaschilal Muche Muche
AU - Berhane, Adugnaw
AU - Bhat, Anusha Ganapati
AU - Bhattacharyya, Krittika
AU - Biadgo, Belete
AU - Bijani, Ali
AU - Shahdaat Bin Sayeed, Muhammad
AU - Bitew, Helen
AU - Blinov, Andrew
AU - Bogale, Kassawmar Angaw
AU - Bojia, Hunduma Amensisa
AU - Burugina Nagaraja, Sharath B.N.
AU - Butt, Zahid A.
AU - Cahuana-Hurtado, Lucero
AU - Campuzano Rincon, Julio Cesar
AU - Carvalho, Félix
AU - Chattu, Vijay Kumar
AU - Christopher, Devasahayam J.
AU - Chu, Dinh Toi
AU - Crider, Raquel
AU - Dahiru, Tukur
AU - Dandona, Lalit
AU - Dandona, Rakhi
AU - Daryani, Ahmad
AU - Das Neves, José
AU - De Neve, Jan Walter
AU - Degenhardt, Louisa
AU - Demeke, Feleke Mekonnen
AU - Demis, Asmamaw Bizuneh Bizuneh
AU - Demissie, Dereje Bayissa
AU - Demoz, Gebre Teklemariam
AU - Deribe, Kebede
AU - Des Jarlais, Don
AU - Dhungana, Govinda Prasad
AU - Diaz, Daniel
AU - Djalalinia, Shirin
AU - Do, Huyen Phuc
AU - Doan, Linh Phuong
AU - Duber, Herbert
AU - Dubey, Manisha
AU - Dubljanin, Eleonora
AU - Duken, Eyasu Ejeta
AU - Duko Adema, Bereket
AU - Effiong, Andem
AU - Eftekhari, Aziz
AU - El Sayed Zaki, Maysaa
AU - El-Jaafary, Shaimaa I.
AU - El-Khatib, Ziad
AU - Elsharkawy, Aisha
AU - Endries, Aman Yesuf
AU - Eskandarieh, Sharareh
AU - Eyawo, Oghenowede
AU - Farzadfar, Farshad
AU - Fatima, Batool
AU - Fentahun, Netsanet
AU - Fernandes, Eduarda
AU - Filip, Irina
AU - Fischer, Florian
AU - Folayan, Morenike Oluwatoyin
AU - Foroutan, Masoud
AU - Fukumoto, Takeshi
AU - Fullman, Nancy
AU - Garcia-Basteiro, Alberto L.
AU - Gayesa, Reta Tsegaye
AU - Gebremedhin, Ketema Bizuwork
AU - Gebremeskel, Gebreamlak Gebremedhn
AU - Gebreyohannes, Kelali Kalaye
AU - Gedefaw, Getnet Azeze
AU - Gelaw, Belayneh K.
AU - Gesesew, Hailay Abrha
AU - Geta, Birhanu
AU - Gezae, Kebede Embaye
AU - Ghadiri, Keyghobad
AU - Ghashghaee, Ahmad
AU - Ginindza, Themba T.G.
AU - Gugnani, Harish Chander
AU - Guimarães, Rafael Alves
AU - Haile, Michael Tamene
AU - Hailu, Gessessew Bugssa
AU - Haj-Mirzaian, Arvin
AU - Haj-Mirzaian, Arya
AU - Hamidi, Samer
AU - Handanagic, Senad
AU - Handiso, Demelash Woldeyohannes
AU - Hanfore, Lolemo Kelbiso
AU - Hasanzadeh, Amir
AU - Hassankhani, Hadi
AU - Hassen, Hamid Yimam
AU - Hay, Simon I.
AU - Henok, Andualem
AU - Hoang, Chi Linh
AU - Hosgood, H. Dean
AU - Hosseinzadeh, Mehdi
AU - Hsairi, Mohamed
AU - Ibitoye, Segun Emmanuel
AU - Idrisov, Bulat
AU - Ikuta, Kevin S.
AU - Ilesanmi, Olayinka Stephen
AU - Irvani, Seyed Sina Naghibi
AU - Iwu, Chinwe Juliana
AU - Jacobsen, Kathryn H.
AU - James, Spencer L.
AU - Jenabi, Ensiyeh
AU - Jha, Ravi Prakash
AU - Jonas, Jost B.
AU - Jorjoran Shushtari, Zahra
AU - Kabir, Ali
AU - Kabir, Zubair
AU - Kadel, Rajendra
AU - Kasaeian, Amir
AU - Kassa, Belete
AU - Kassa, Getachew Mullu
AU - Kassa, Tesfaye Dessale
AU - Kayode, Gbenga A.
AU - Kebede, Mihiretu M.
AU - Kefale, Adane Teshome
AU - Kengne, Andre Pascal
AU - Khader, Yousef Saleh
AU - Khafaie, Morteza Abdullatif
AU - Khalid, Nauman
AU - Khan, Ejaz Ahmad
AU - Khan, Gulfaraz
AU - Khan, Junaid
AU - Khang, Young Ho
AU - Khatab, Khaled
AU - Khazaei, Salman
AU - Khoja, Abdullah T.
AU - Kiadaliri, Aliasghar A.
AU - Kim, Yun Jin
AU - Kisa, Adnan
AU - Kisa, Sezer
AU - Kochhar, Sonali
AU - Komaki, Hamidreza
AU - Koul, Parvaiz A.
AU - Koyanagi, Ai
AU - Kuate Defo, Barthelemy
AU - Kumar, G. Anil
AU - Kumar, Manasi
AU - Kuupiel, Desmond
AU - Lal, Dharmesh Kumar
AU - Lee, Jane Jean Hee
AU - Lenjebo, Tsegaye Lolaso
AU - Leshargie, Cheru Tesema
AU - Macarayan, Erlyn Rachelle King
AU - Maddison, Emilie R.
AU - Magdy Abd El Razek, Hassan
AU - Magis-Rodriguez, Carlos
AU - Mahasha, Phetole Walter
AU - Majdan, Marek
AU - Majeed, Azeem
AU - Malekzadeh, Reza
AU - Manafi, Navid
AU - Mapoma, Chabila Christopher
AU - Martins-Melo, Francisco Rogerlândio
AU - Masaka, Anthony
AU - Mayenga, Emmanuel Ngassa Laurent
AU - Mehta, Varshil
AU - Meles, Gebrekiros Gebremichael
AU - Meles, Hagazi Gebre
AU - Melese, Addisu
AU - Melku, Mulugeta
AU - Memiah, Peter T.N.
AU - Memish, Ziad A.
AU - Mena, Alemayehu Toma
AU - Mendoza, Walter
AU - Mengistu, Desalegn Tadese
AU - Mengistu, Getnet
AU - Meretoja, Tuomo J.
AU - Mestrovic, Tomislav
AU - Miller, Ted R.
AU - Moazen, Babak
AU - Mohajer, Bahram
AU - Mohamadi-Bolbanabad, Amjad
AU - Mohammad, Karzan Abdulmuhsin
AU - Mohammad, Yousef
AU - Mohammad Darwesh, Aso
AU - Mohammad Gholi Mezerji, Naser
AU - Mohammadi, Moslem
AU - Mohammadibakhsh, Roghayeh
AU - Mohammadoo-Khorasani, Milad
AU - Mohammed, Jemal Abdu
AU - Mohammed, Shafiu
AU - Mohebi, Farnam
AU - Mokdad, Ali H.
AU - Moodley, Yoshan
AU - Moossavi, Maryam
AU - Moradi, Ghobad
AU - Moradi-Lakeh, Maziar
AU - Moschos, Marilita M.
AU - Mossie, Tilahun Belete
AU - Mousavi, Seyyed Meysam
AU - Muchie, Kindie Fentahun
AU - Tesfay, Fisaha Haile
PY - 2019/12
Y1 - 2019/12
N2 - Background Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. Methods We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package - a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce agesex- specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. Findings Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. Interpretation Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact.
AB - Background Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. Methods We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package - a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce agesex- specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. Findings Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. Interpretation Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact.
KW - Global Burden of Disease
KW - HIV
KW - Risk factor surveys
UR - http://www.scopus.com/inward/record.url?scp=85075667976&partnerID=8YFLogxK
U2 - 10.1016/S2352-3018(19)30196-1
DO - 10.1016/S2352-3018(19)30196-1
M3 - Article
C2 - 31439534
AN - SCOPUS:85075667976
SN - 2405-4704
VL - 6
SP - e831-e859
JO - The Lancet HIV
JF - The Lancet HIV
IS - 12
ER -