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Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review

Estimating the population with undiagnosed HIV (PUHIV) is the most methodologically challenging aspect of evaluating 90-90-90 goals. The objective of this review is to discuss assumptions, strengths, and shortcomings of currently available methods of this estimation. Articles from 2000 to 2018 on me...

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Autores principales: Sohail, Maira, Levitan, Emily Bess, Rana, Aadia Iftikhar, Heath, Sonya Lynn, Rastegar, Jeremiah, Kempf, Mirjam-Colette, Long, Dustin Marsh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235967/
https://www.ncbi.nlm.nih.gov/pubmed/32351155
http://dx.doi.org/10.1177/2325958220919290
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author Sohail, Maira
Levitan, Emily Bess
Rana, Aadia Iftikhar
Heath, Sonya Lynn
Rastegar, Jeremiah
Kempf, Mirjam-Colette
Long, Dustin Marsh
author_facet Sohail, Maira
Levitan, Emily Bess
Rana, Aadia Iftikhar
Heath, Sonya Lynn
Rastegar, Jeremiah
Kempf, Mirjam-Colette
Long, Dustin Marsh
author_sort Sohail, Maira
collection PubMed
description Estimating the population with undiagnosed HIV (PUHIV) is the most methodologically challenging aspect of evaluating 90-90-90 goals. The objective of this review is to discuss assumptions, strengths, and shortcomings of currently available methods of this estimation. Articles from 2000 to 2018 on methods to estimate PUHIV were reviewed. Back-calculation methods including CD4 depletion and test–retest use diagnosis CD4 count, or previous testing history to determine likely infection time thus, providing an estimate of PUHIV for previous years. Biomarker methods use immunoassays to differentiate recent from older infections. Statistical techniques treat HIV status as missing data and impute data for models of infection. Lastly, population surveys using HIV rapid testing most accurately calculates the current HIV prevalence. Although multiple methods exist to estimate the number of PUHIV, the appropriate method for future applications depends on multiple factors, namely data availability and population of interest.
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spelling pubmed-72359672020-06-09 Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review Sohail, Maira Levitan, Emily Bess Rana, Aadia Iftikhar Heath, Sonya Lynn Rastegar, Jeremiah Kempf, Mirjam-Colette Long, Dustin Marsh J Int Assoc Provid AIDS Care Review Estimating the population with undiagnosed HIV (PUHIV) is the most methodologically challenging aspect of evaluating 90-90-90 goals. The objective of this review is to discuss assumptions, strengths, and shortcomings of currently available methods of this estimation. Articles from 2000 to 2018 on methods to estimate PUHIV were reviewed. Back-calculation methods including CD4 depletion and test–retest use diagnosis CD4 count, or previous testing history to determine likely infection time thus, providing an estimate of PUHIV for previous years. Biomarker methods use immunoassays to differentiate recent from older infections. Statistical techniques treat HIV status as missing data and impute data for models of infection. Lastly, population surveys using HIV rapid testing most accurately calculates the current HIV prevalence. Although multiple methods exist to estimate the number of PUHIV, the appropriate method for future applications depends on multiple factors, namely data availability and population of interest. SAGE Publications 2020-04-30 /pmc/articles/PMC7235967/ /pubmed/32351155 http://dx.doi.org/10.1177/2325958220919290 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review
Sohail, Maira
Levitan, Emily Bess
Rana, Aadia Iftikhar
Heath, Sonya Lynn
Rastegar, Jeremiah
Kempf, Mirjam-Colette
Long, Dustin Marsh
Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review
title Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review
title_full Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review
title_fullStr Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review
title_full_unstemmed Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review
title_short Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review
title_sort estimating the first 90 of the unaids 90-90-90 goal: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235967/
https://www.ncbi.nlm.nih.gov/pubmed/32351155
http://dx.doi.org/10.1177/2325958220919290
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