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1000 Titel
  • Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015
1000 Autor/in
  1. Global Burden of Disease (GBD) 2015 HIV Collaborators |
1000 Mitwirkende/r
  1. Zeeb, Hajo |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-07-19
1000 Erschienen in
1000 Quellenangabe
  • 3(8): e361-e387
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.1016/s2352-3018(16)30087-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056319/ |
1000 Ergänzendes Material
  • http://www.thelancet.com/journals/lanhiv/article/PIIS2352-3018(16)30087-X/supplemental |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Timely assessment of the burden of HIV/AIDS is essential for policy setting and programme evaluation. In this report from the Global Burden of Disease Study 2015 (GBD 2015), we provide national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015. METHODS: For countries without high-quality vital registration data, we estimated prevalence and incidence with data from antenatal care clinics and population-based seroprevalence surveys, and with assumptions by age and sex on initial CD4 distribution at infection, CD4 progression rates (probability of progression from higher to lower CD4 cell-count category), on and off antiretroviral therapy (ART) mortality, and mortality from all other causes. Our estimation strategy links the GBD 2015 assessment of all-cause mortality and estimation of incidence and prevalence so that for each draw from the uncertainty distribution all assumptions used in each step are internally consistent. We estimated incidence, prevalence, and death with GBD versions of the Estimation and Projection Package (EPP) and Spectrum software originally developed by the Joint United Nations Programme on HIV/AIDS (UNAIDS). We used an open-source version of EPP and recoded Spectrum for speed, and used updated assumptions from systematic reviews of the literature and GBD demographic data. For countries with high-quality vital registration data, we developed the cohort incidence bias adjustment model to estimate HIV incidence and prevalence largely from the number of deaths caused by HIV recorded in cause-of-death statistics. We corrected these statistics for garbage coding and HIV misclassification. FINDINGS: Global HIV incidence reached its peak in 1997, at 3·3 million new infections (95% uncertainty interval [UI] 3·1–3·4 million). Annual incidence has stayed relatively constant at about 2·6 million per year (range 2·5–2·8 million) since 2005, after a period of fast decline between 1997 and 2005. The number of people living with HIV/AIDS has been steadily increasing and reached 38·8 million (95% UI 37·6–40·4 million) in 2015. At the same time, HIV/AIDS mortality has been declining at a steady pace, from a peak of 1·8 million deaths (95% UI 1·7–1·9 million) in 2005, to 1·2 million deaths (1·1–1·3 million) in 2015. We recorded substantial heterogeneity in the levels and trends of HIV/AIDS across countries. Although many countries have experienced decreases in HIV/AIDS mortality and in annual new infections, other countries have had slowdowns or increases in rates of change in annual new infections. INTERPRETATION: Scale-up of ART and prevention of mother-to-child transmission has been one of the great successes of global health in the past two decades. However, in the past decade, progress in reducing new infections has been slow, development assistance for health devoted to HIV has stagnated, and resources for health in low-income countries have grown slowly. Achievement of the new ambitious goals for HIV enshrined in Sustainable Development Goal 3 and the 90-90-90 UNAIDS targets will be challenging, and will need continued efforts from governments and international agencies in the next 15 years to end AIDS by 2030.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/R2xvYmFsIEJ1cmRlbiBvZiBEaXNlYXNlIChHQkQpIDIwMTUgSElWIENvbGxhYm9yYXRvcnM=|http://orcid.org/0000-0001-7509-242X
1000 Label
1000 Förderer
  1. Bill and Melinda Gates Foundation |
  2. National Institute of Mental Health |
  3. National Institute on Aging |
  4. Qatar National Research Fund |
  5. Ministerio de Educación del Perú |
  6. Fundação para a Ciência e a Tecnologia |
  7. Wellcome Trust |
  8. Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung |
  9. Sistema Nacional de Investigadores de Panamá |
  10. Academy of Finland |
  11. Vetenskapsrådet |
  12. Alzheimerfonden |
  13. Alzheimer's Research & Prevention Foundation |
  14. Karolinska Institutet |
  15. AXA Research Fund |
  16. Knut och Alice Wallenbergs Stiftelse |
  17. Sheika Salama Bint Hamdan Al Nahyan Foundation |
  18. Instituto de Salud Carlos III |
  19. European Regional Development Fund |
  20. National Institute for Health Research |
  21. European Commission |
  22. Centre for Strategic & International Studies |
  23. World Health Organization |
  24. United Nations Population Fund |
  25. German National Cohort Consortium |
  26. NIHR Oxford Biomedical Research Centre |
  27. International Society of Nephrology |
  28. Fundação de Amparo à Pesquisa do Estado de São Paulo |
  29. Universidad de Ciencias Aplicadas y Ambientales (UDCA) Bogotá |
  30. Fonds de Recherche du Québec - Santé |
  31. Generalitat Valenciana |
  32. Strategic Public Policy Research |
1000 Fördernummer
  1. OPP1068048
  2. R01MH110163
  3. P30AG047845
  4. NPRP 04-924-3-251
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  6. SFRH/BPD/92934/2013
  7. 099876
  8. P300P3-154634
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  18. CP13/00150; PI15/00862; PI14/00894
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  20. NIHR/CS/010/014
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  25. O1ER1511D
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  31. PROMETEOII/2015/021
  32. HKU7003-SPPR-12
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  5. PRONABEC (National Program of Scholarship and Educational Loan)
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  7. Fellowship in Public Health and Tropical Medicine
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  18. National R&D&I
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  20. Clinician Scientist Fellowship
  21. Innovative Medicines Initiative (IMI)
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1000 Dateien
1000 Förderung
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    1000 Förderer Bill and Melinda Gates Foundation |
    1000 Förderprogramm -
    1000 Fördernummer OPP1068048
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    1000 Förderer National Institute of Mental Health |
    1000 Förderprogramm -
    1000 Fördernummer R01MH110163
  3. 1000 joinedFunding-child
    1000 Förderer National Institute on Aging |
    1000 Förderprogramm -
    1000 Fördernummer P30AG047845
  4. 1000 joinedFunding-child
    1000 Förderer Qatar National Research Fund |
    1000 Förderprogramm -
    1000 Fördernummer NPRP 04-924-3-251
  5. 1000 joinedFunding-child
    1000 Förderer Ministerio de Educación del Perú |
    1000 Förderprogramm PRONABEC (National Program of Scholarship and Educational Loan)
    1000 Fördernummer -
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    1000 Förderer Fundação para a Ciência e a Tecnologia |
    1000 Förderprogramm -
    1000 Fördernummer SFRH/BPD/92934/2013
  7. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust |
    1000 Förderprogramm Fellowship in Public Health and Tropical Medicine
    1000 Fördernummer 099876
  8. 1000 joinedFunding-child
    1000 Förderer Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung |
    1000 Förderprogramm -
    1000 Fördernummer P300P3-154634
  9. 1000 joinedFunding-child
    1000 Förderer Sistema Nacional de Investigadores de Panamá |
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  10. 1000 joinedFunding-child
    1000 Förderer Academy of Finland |
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    1000 Förderer Vetenskapsrådet |
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    1000 Förderer Alzheimerfonden |
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    1000 Förderer Alzheimer's Research & Prevention Foundation |
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    1000 Förderer Karolinska Institutet |
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    1000 Förderer AXA Research Fund |
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    1000 Förderer Knut och Alice Wallenbergs Stiftelse |
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  17. 1000 joinedFunding-child
    1000 Förderer Sheika Salama Bint Hamdan Al Nahyan Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  18. 1000 joinedFunding-child
    1000 Förderer Instituto de Salud Carlos III |
    1000 Förderprogramm National R&D&I
    1000 Fördernummer CP13/00150; PI15/00862; PI14/00894
  19. 1000 joinedFunding-child
    1000 Förderer European Regional Development Fund |
    1000 Förderprogramm ERDF-FEDER
    1000 Fördernummer -
  20. 1000 joinedFunding-child
    1000 Förderer National Institute for Health Research |
    1000 Förderprogramm Clinician Scientist Fellowship
    1000 Fördernummer NIHR/CS/010/014
  21. 1000 joinedFunding-child
    1000 Förderer European Commission |
    1000 Förderprogramm Innovative Medicines Initiative (IMI)
    1000 Fördernummer -
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    1000 Förderer Centre for Strategic & International Studies |
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    1000 Förderer World Health Organization |
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    1000 Förderer United Nations Population Fund |
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    1000 Förderer German National Cohort Consortium |
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    1000 Fördernummer O1ER1511D
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    1000 Förderer NIHR Oxford Biomedical Research Centre |
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    1000 Förderer International Society of Nephrology |
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  28. 1000 joinedFunding-child
    1000 Förderer Fundação de Amparo à Pesquisa do Estado de São Paulo |
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    1000 Förderer Universidad de Ciencias Aplicadas y Ambientales (UDCA) Bogotá |
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  30. 1000 joinedFunding-child
    1000 Förderer Fonds de Recherche du Québec - Santé |
    1000 Förderprogramm -
    1000 Fördernummer -
  31. 1000 joinedFunding-child
    1000 Förderer Generalitat Valenciana |
    1000 Förderprogramm -
    1000 Fördernummer PROMETEOII/2015/021
  32. 1000 joinedFunding-child
    1000 Förderer Strategic Public Policy Research |
    1000 Förderprogramm -
    1000 Fördernummer HKU7003-SPPR-12
1000 Objektart article
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1000 @id frl:6406768.rdf
1000 Erstellt am 2018-02-21T16:20:24.904+0100
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