Improving estimates of children living with HIV from the Spectrum AIDS Impact Model

dc.contributor.authorMahy, Mary
dc.contributor.authorPenazzato, Martina
dc.contributor.authorCiaranello, Andrea
dc.contributor.authorMofenson, Lynne
dc.contributor.authorYiannoutsos, Constantin T.
dc.contributor.authorDavies, Mary-Ann
dc.contributor.authorStover, John
dc.contributor.departmentDepartment of Biostatistics, Richard M. Fairbanks School of Public Healthen_US
dc.date.accessioned2017-06-21T20:02:58Z
dc.date.available2017-06-21T20:02:58Z
dc.date.issued2016-10
dc.description.abstractObjective: Estimated numbers of children living with HIV determine programmatic and treatment needs. We explain the changes made to the UNAIDS estimates between 2015 and 2016, and describe the challenges around these estimates. Methods: Estimates of children newly infected, living with HIV, and dying of AIDS are developed by country teams using Spectrum software. Spectrum files are available for 160 countries, which represent 98% of the global population. In 2016, the methods were updated to reflect the latest evidence on mother-to-child HIV transmission and improved assumptions on the age children initiate antiretroviral therapy. We report updated results using the 2016 model and validate these estimates against mother-to-child transmission rates and HIV prevalence from population-based surveys for the survey year. Results: The revised 2016 model estimates 27% fewer children living with HIV in 2014 than the 2015 model, primarily due to changes in the probability of mother-to-child transmission among women with incident HIV during pregnancy. The revised estimates were consistent with population-based surveys of HIV transmission and HIV prevalence among children aged 5–9 years, but were lower than surveys among children aged 10–14 years. Conclusions: The revised 2016 model is an improvement on previous models. Paediatric HIV models will continue to evolve as further improvements are made to the assumptions. Commodities forecasting and programme planning rely on these estimates, and increasing accuracy will be critical to enable effective scale-up and optimal use of resources. Efforts are needed to improve empirical measures of HIV prevalence, incidence, and mortality among children.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationMahy, M., Penazzato, M., Ciaranello, A., Mofenson, L., Yianoutsos, C. T., Davies, M. A., & Stover, J. (2017). Improving estimates of children living with HIV from the Spectrum AIDS Impact Model. Aids, 31, S13-S22.en_US
dc.identifier.urihttps://hdl.handle.net/1805/13159
dc.language.isoenen_US
dc.publisherLippincott, Williams, and Wilkinsen_US
dc.relation.isversionof10.1097/QAD.000000000000130en_US
dc.relation.journalAidsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.sourcePublisheren_US
dc.subjectantiretroviral therapyen_US
dc.subjectmodelsen_US
dc.subjectmother-to-child transmissionen_US
dc.titleImproving estimates of children living with HIV from the Spectrum AIDS Impact Modelen_US
dc.typeArticleen_US
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