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

被引:8
|
作者
Sohail, Maira [1 ,2 ]
Levitan, Emily Bess [1 ,2 ]
Rana, Aadia Iftikhar [1 ,3 ]
Heath, Sonya Lynn [1 ,3 ]
Rastegar, Jeremiah [1 ,3 ]
Kempf, Mirjam-Colette [1 ,2 ,3 ,4 ,5 ]
Long, Dustin Marsh [1 ,6 ]
机构
[1] Univ Alabama Birmingham, Ctr AIDS Res, Birmingham, AL USA
[2] Univ Alabama Birmingham, Dept Epidemiol, Birmingham, AL USA
[3] Univ Alabama Birmingham, Div Infect Dis, Dept Med, Birmingham, AL USA
[4] Univ Alabama Birmingham, Sch Nursing, Birmingham, AL USA
[5] Univ Alabama Birmingham, Dept Hlth Behav, Birmingham, AL USA
[6] Univ Alabama Birmingham, Dept Biostat, Birmingham, AL USA
基金
美国国家卫生研究院;
关键词
90-90-90; HIV prevalence; HIV status; undiagnosed HIV; UNAIDS HIV estimates; HUMAN-IMMUNODEFICIENCY-VIRUS; HIV INCIDENCE; UNITED-STATES; INFECTION; DIAGNOSIS; TIME;
D O I
10.1177/2325958220919290
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
引用
收藏
页数:7
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