Academic Journal
Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015
| Τίτλος: | Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015 |
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| Συγγραφείς: | Wang, H., Wolock, T.M., Carter, A., Nguyen, G., Hmwe Kyu, Hmwe, Gakidou, E., Hay, S.I., Mills, E.J., Trickey, A., Msemburi, W., Geleijnse, J.M. |
| Πηγή: | The Lancet HIV 3 (2016) 8 ; ISSN: 2405-4704 |
| Έτος έκδοσης: | 2016 |
| Συλλογή: | Wageningen UR (University & Research Centre): Digital Library |
| Θεματικοί όροι: | Life Science |
| Περιγραφή: | 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 ... |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| Relation: | https://edepot.wur.nl/516107 |
| DOI: | 10.1016/S2352-3018(16)30087-X |
| Διαθεσιμότητα: | https://research.wur.nl/en/publications/estimates-of-global-regional-and-national-incidence-prevalence-an https://doi.org/10.1016/S2352-3018(16)30087-X https://edepot.wur.nl/516107 |
| Rights: | https://creativecommons.org/licenses/by/4.0/ ; Wageningen University & Research |
| Αριθμός Καταχώρησης: | edsbas.D409DAA4 |
| Βάση Δεδομένων: | BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015 – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+H%2E%22">Wang, H.</searchLink><br /><searchLink fieldCode="AR" term="%22Wolock%2C+T%2EM%2E%22">Wolock, T.M.</searchLink><br /><searchLink fieldCode="AR" term="%22Carter%2C+A%2E%22">Carter, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Nguyen%2C+G%2E%22">Nguyen, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Hmwe+Kyu%2C+Hmwe%22">Hmwe Kyu, Hmwe</searchLink><br /><searchLink fieldCode="AR" term="%22Gakidou%2C+E%2E%22">Gakidou, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Hay%2C+S%2EI%2E%22">Hay, S.I.</searchLink><br /><searchLink fieldCode="AR" term="%22Mills%2C+E%2EJ%2E%22">Mills, E.J.</searchLink><br /><searchLink fieldCode="AR" term="%22Trickey%2C+A%2E%22">Trickey, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Msemburi%2C+W%2E%22">Msemburi, W.</searchLink><br /><searchLink fieldCode="AR" term="%22Geleijnse%2C+J%2EM%2E%22">Geleijnse, J.M.</searchLink> – Name: TitleSource Label: Source Group: Src Data: The Lancet HIV 3 (2016) 8 ; ISSN: 2405-4704 – Name: DatePubCY Label: Publication Year Group: Date Data: 2016 – Name: Subset Label: Collection Group: HoldingsInfo Data: Wageningen UR (University & Research Centre): Digital Library – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Life+Science%22">Life Science</searchLink> – Name: Abstract Label: Description Group: Ab Data: 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 ... – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://edepot.wur.nl/516107 – Name: DOI Label: DOI Group: ID Data: 10.1016/S2352-3018(16)30087-X – Name: URL Label: Availability Group: URL Data: https://research.wur.nl/en/publications/estimates-of-global-regional-and-national-incidence-prevalence-an<br />https://doi.org/10.1016/S2352-3018(16)30087-X<br />https://edepot.wur.nl/516107 – Name: Copyright Label: Rights Group: Cpyrght Data: https://creativecommons.org/licenses/by/4.0/ ; Wageningen University & Research – Name: AN Label: Accession Number Group: ID Data: edsbas.D409DAA4 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S2352-3018(16)30087-X Languages: – Text: English Subjects: – SubjectFull: Life Science Type: general Titles: – TitleFull: Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, H. – PersonEntity: Name: NameFull: Wolock, T.M. – PersonEntity: Name: NameFull: Carter, A. – PersonEntity: Name: NameFull: Nguyen, G. – PersonEntity: Name: NameFull: Hmwe Kyu, Hmwe – PersonEntity: Name: NameFull: Gakidou, E. – PersonEntity: Name: NameFull: Hay, S.I. – PersonEntity: Name: NameFull: Mills, E.J. – PersonEntity: Name: NameFull: Trickey, A. – PersonEntity: Name: NameFull: Msemburi, W. – PersonEntity: Name: NameFull: Geleijnse, J.M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2016 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: The Lancet HIV 3 (2016) 8 ; ISSN: 2405-4704 Type: main |
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