Development of improved approaches for HIV-1 prevention will likely be required for a
durable end to the global AIDS pandemic. Recent advances in preclinical studies and early …

Highlights•Machine learning is increasingly used to predict and understand drug resistance
in HIV.•Phylogenetics helps to track the emergence and spread of HIV drug resistance …

Background Emerging HIV drug resistance (HIVDR) could jeopardize the success of
standardized HIV management protocols in resource-limited settings. We characterized …

Objective: To estimate the prevalence of NRTI and NNRTI drug resistance mutations in
patients failing NNRTI-based ART in Southern Africa. Study design: We conducted a …

Introduction There is limited literature on the appropriateness of viral load (VL) monitoring
and management of detectable VL in public health settings in rural South Africa. Methods …

Background Rising resistance of HIV-1 to non-nucleoside reverse transcriptase inhibitors
(NNRTIs) threatens the success of the global scale-up of antiretroviral therapy (ART). The …

HIV-1 subtypes have distinct geographical distributions, with subtypes A, C, and D and inter-
subtype recombinants circulating in sub-Saharan Africa. Historically, individuals living with …

Background In response to the rising prevalence of non-nucleoside reverse transcriptase
inhibitors (NNRTIs) resistance, millions of people living with HIV (PWH) have switched to …

Background: Transmission models provide complementary evidence to clinical trials about
the potential population-level incidence reduction attributable to ART (ART prevention …

Background: Considering the remaining threat of drug-resistantmutations (DRMs) to
antiretroviral treatment (ART) efficacy, we investigated how the selective pressure of human …