Inferring population HIV incidence trends from surveillance data of recent HIV infection among HIV testing clients.

ABSTRACT:

Background

Measuring recent HIV infections from routine surveillance systems could allow timely and granular monitoring of HIV incidence patterns. We evaluated the relationship of two recent infection indicators with alternative denominators to true incidence patterns.

Methods

We used a mathematical model of HIV testing behaviours, calibrated to population-based surveys and HIV testing services programme data, to estimate the number of recent infections diagnosed annually from 2010 to 2019 in Côte d'Ivoire, Malawi, and Mozambique. We compared two different denominators to interpret recency data: those at risk of HIV acquisition (HIV-negative tests and recent infections) and all people testing HIV positive. Sex and age-specific longitudinal trends in both interpretations were

SUBMITTER: Godin A 

PROVIDER: S-EPMC8631145 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature