Background In generalized epidemic settings, strategies are needed to prioritize individuals
at higher risk of human immunodeficiency virus (HIV) acquisition for prevention services. We …

Aim HIV prevention measures in sub-Saharan Africa are still short of attaining the UNAIDS
90–90-90 fast track targets set in 2014. Identifying predictors for HIV status may facilitate …

HIV and AIDS continue to be major public health concerns globally. Despite significant
progress in addressing their impact on the general population and achieving epidemic …

Introduction Targeting most-at-risk individuals with HIV preventive interventions is cost-
effective. We developed gender-specific indices to measure risk of HIV among sexually …

HIV treatment programs face challenges in identifying patients at risk for loss-to-follow-up
and uncontrolled viremia. We applied predictive machine learning algorithms to …

Introduction High yield HIV testing strategies are critical to reach epidemic control in high
prevalence and low-resource settings such as East and Southern Africa. In this study, we …

Background The limitations of existing HIV risk prediction tools are a barrier to
implementation of pre-exposure prophylaxis (PrEP). We developed and validated an HIV …

We aimed to develop a HIV risk scoring algorithm for targeted screening among women in
South Africa. We used data from five biomedical intervention trials (N= 8982 Cox regression …

Introduction Several HIV risk scores have been developed to identify individuals for
prioritized HIV prevention in sub‐Saharan Africa. We systematically reviewed HIV risk …

Introduction A recent infection testing algorithm (RITA) that can distinguish recent from long-
standing HIV infection can be applied to nationally representative population-based surveys …