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Background: HIV incidence is the rate of new HIV infections in a population and is the primary measure for assessing the status of the epidemic and the effectiveness of preventive interventions
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Cross-sectional incidence analysis used experimental algorithms (MAAs) to estimate HIV incidence
This method is simpler and less expensive than estimating incidence using longitudinal cohort studies
Results: The study included 15,845 people who were HIV-negative, 4406 people who were HIV-positive at both visits, and 221 people who seroconverted between visits
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Viral load (VL) data were available for all HIV-positive participants at the two-year visit
Figure 1 Comparison of cross-sectional incidence estimates to observed incidence in HPTN 071 (PopART)
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This figure shows the comparison of annual HIV incidence rates observed in the HPTN 071 (PopART) trial with incidence rates estimated with three multiple analysis algorithms (MAAS)
Figure 1 Comparison of cross-sectional incidence estimates to observed incidence in HPTN 071 (PopART)
Figure 2 Comparison of cross-sectional estimated and observed incidence of HPTN 071 (PopART) in young adults, by institution, country, sex, and sex
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The figure shows the observed incidence and incidence estimates for the three multiple-trial algorithms (MAAs)
Figure 2 Comparison of cross-sectional estimated and observed incidence of HPTN 071 (PopART) in young adults, by institution, country, sex, and sex
MAA-C and LAG+VL MAA provided accurate point estimates of incidence in cohorts with higher levels of viral suppression
Klock E, Wilson E, Fernandez RE, et al.
Validation of population-level HIV-1 incidence estimation by cross-sectional incidence assays in the HPTN 071 (PopART) trialLeave a comment here