Download
GBD 2017 HIV collaborators_2019_Global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories.pdf 3,24MB
WeightNameValue
1000 Titel
  • Global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017
1000 Autor/in
  1. GBD 2017 HIV collaborators |
1000 Mitwirkende/r
  1. Kebede, Mihiretu |
1000 Erscheinungsjahr 2019
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-08-19
1000 Erschienen in
1000 Quellenangabe
  • 6(12):e831-e859
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/S2352-3018(19)30196-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934077/ |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S2352301819301961?via%3Dihub#sec1 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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 age-sex-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. FUNDING: Bill & Melinda Gates Foundation, National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R0JEIDIwMTcgSElWIGNvbGxhYm9yYXRvcnM=|https://orcid.org/0000-0002-5599-2823
1000 Label
1000 Förderer
  1. Aga Khan Foundation |
  2. National Health and Medical Research Council |
  3. Australian National University |
  4. Bill and Melinda Gates Foundation |
  5. Department of Science and Technology, Government of India |
  6. Fulbright Egypt |
  7. European and Developing Countries Clinical Trials Partnership |
  8. Bundesministerium für Bildung und Forschung |
  9. Fogarty International Center |
  10. Fundação para a Ciência e a Tecnologia |
  11. Human Sciences Research Council, South Africa |
  12. James Cook University |
  13. Ministry of Health, Labour and Welfare |
  14. King's College London |
  15. Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja |
  16. National Health and Medical Research Council |
  17. National Research Foundation |
  18. National Institute on Aging |
  19. National Institute of Allergy and Infectious Diseases |
  20. National Institute of Child Health and Human Development |
  21. National Institute on Drug Abuse |
  22. National Institute of Mental Health |
  23. Public Health Agency of Canada |
  24. Qatar National Research Fund |
  25. South African Medical Research Council |
  26. University of Namibia |
  27. Wellcome Trust |
  28. Xiamen University, Malaysia |
  29. Alexander von Humboldt-Stiftung |
1000 Fördernummer
  1. -
  2. 1135991; 1041742
  3. -
  4. -
  5. -
  6. -
  7. RIA2016MC-1615
  8. -
  9. D43-TW009775; K43TW010716
  10. UID/MULTI/04378/2019; UID/QUI/50006/2019
  11. -
  12. -
  13. -
  14. -
  15. III45005
  16. -
  17. -
  18. P30AG047845; P01-AG041710
  19. R01-AI124389; R01-AI112339; U01AI096299
  20. R01-HD084233; R01H087993
  21. R01DA1104470
  22. R01MH110163
  23. -
  24. NPRP 9-040-3-008
  25. -
  26. -
  27. 201900
  28. -
  29. -
1000 Förderprogramm
  1. -
  2. Fellowship
  3. Australian Government Research Training Program (AGRTP) Stipend Scholarship
  4. -
  5. Innovation in Science Pursuit for Inspired Research (INSPIRE)
  6. -
  7. -
  8. Alexander von Humboldt Professor award
  9. -
  10. -
  11. -
  12. Rising Star Early Career Researcher Award
  13. -
  14. -
  15. -
  16. Hot North Career Development Fellowship
  17. South African Research Chairs Initiative (SARChI)
  18. -
  19. -
  20. -
  21. -
  22. -
  23. -
  24. -
  25. -
  26. -
  27. International Intermediate Fellowship
  28. -
  29. -
1000 Dateien
  1. Global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Aga Khan Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer National Health and Medical Research Council |
    1000 Förderprogramm Fellowship
    1000 Fördernummer 1135991; 1041742
  3. 1000 joinedFunding-child
    1000 Förderer Australian National University |
    1000 Förderprogramm Australian Government Research Training Program (AGRTP) Stipend Scholarship
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Bill and Melinda Gates Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Department of Science and Technology, Government of India |
    1000 Förderprogramm Innovation in Science Pursuit for Inspired Research (INSPIRE)
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Fulbright Egypt |
    1000 Förderprogramm -
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer European and Developing Countries Clinical Trials Partnership |
    1000 Förderprogramm -
    1000 Fördernummer RIA2016MC-1615
  8. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm Alexander von Humboldt Professor award
    1000 Fördernummer -
  9. 1000 joinedFunding-child
    1000 Förderer Fogarty International Center |
    1000 Förderprogramm -
    1000 Fördernummer D43-TW009775; K43TW010716
  10. 1000 joinedFunding-child
    1000 Förderer Fundação para a Ciência e a Tecnologia |
    1000 Förderprogramm -
    1000 Fördernummer UID/MULTI/04378/2019; UID/QUI/50006/2019
  11. 1000 joinedFunding-child
    1000 Förderer Human Sciences Research Council, South Africa |
    1000 Förderprogramm -
    1000 Fördernummer -
  12. 1000 joinedFunding-child
    1000 Förderer James Cook University |
    1000 Förderprogramm Rising Star Early Career Researcher Award
    1000 Fördernummer -
  13. 1000 joinedFunding-child
    1000 Förderer Ministry of Health, Labour and Welfare |
    1000 Förderprogramm -
    1000 Fördernummer -
  14. 1000 joinedFunding-child
    1000 Förderer King's College London |
    1000 Förderprogramm -
    1000 Fördernummer -
  15. 1000 joinedFunding-child
    1000 Förderer Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja |
    1000 Förderprogramm -
    1000 Fördernummer III45005
  16. 1000 joinedFunding-child
    1000 Förderer National Health and Medical Research Council |
    1000 Förderprogramm Hot North Career Development Fellowship
    1000 Fördernummer -
  17. 1000 joinedFunding-child
    1000 Förderer National Research Foundation |
    1000 Förderprogramm South African Research Chairs Initiative (SARChI)
    1000 Fördernummer -
  18. 1000 joinedFunding-child
    1000 Förderer National Institute on Aging |
    1000 Förderprogramm -
    1000 Fördernummer P30AG047845; P01-AG041710
  19. 1000 joinedFunding-child
    1000 Förderer National Institute of Allergy and Infectious Diseases |
    1000 Förderprogramm -
    1000 Fördernummer R01-AI124389; R01-AI112339; U01AI096299
  20. 1000 joinedFunding-child
    1000 Förderer National Institute of Child Health and Human Development |
    1000 Förderprogramm -
    1000 Fördernummer R01-HD084233; R01H087993
  21. 1000 joinedFunding-child
    1000 Förderer National Institute on Drug Abuse |
    1000 Förderprogramm -
    1000 Fördernummer R01DA1104470
  22. 1000 joinedFunding-child
    1000 Förderer National Institute of Mental Health |
    1000 Förderprogramm -
    1000 Fördernummer R01MH110163
  23. 1000 joinedFunding-child
    1000 Förderer Public Health Agency of Canada |
    1000 Förderprogramm -
    1000 Fördernummer -
  24. 1000 joinedFunding-child
    1000 Förderer Qatar National Research Fund |
    1000 Förderprogramm -
    1000 Fördernummer NPRP 9-040-3-008
  25. 1000 joinedFunding-child
    1000 Förderer South African Medical Research Council |
    1000 Förderprogramm -
    1000 Fördernummer -
  26. 1000 joinedFunding-child
    1000 Förderer University of Namibia |
    1000 Förderprogramm -
    1000 Fördernummer -
  27. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust |
    1000 Förderprogramm International Intermediate Fellowship
    1000 Fördernummer 201900
  28. 1000 joinedFunding-child
    1000 Förderer Xiamen University, Malaysia |
    1000 Förderprogramm -
    1000 Fördernummer -
  29. 1000 joinedFunding-child
    1000 Förderer Alexander von Humboldt-Stiftung |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6418582.rdf
1000 Erstellt am 2020-01-17T13:35:30.193+0100
1000 Erstellt von 266
1000 beschreibt frl:6418582
1000 Bearbeitet von 16
1000 Zuletzt bearbeitet 2020-03-05T07:03:36.132+0100
1000 Objekt bearb. Thu Mar 05 07:03:35 CET 2020
1000 Vgl. frl:6418582
1000 Oai Id
  1. oai:frl.publisso.de:frl:6418582 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source