The Respond pillar of the Ending the HIV Epidemic in the US initiative, which consists of
activities also known as cluster and outbreak detection and response, offers a framework to …

In modern applications of molecular epidemiology, genetic sequence data are routinely
used to identify clusters of transmission in rapidly evolving pathogens, most notably HIV-1 …

Phylogenetic analysis of pathogens is an increasingly powerful way to reduce the spread of
epidemics, including HIV. As a result, phylogenetic approaches are becoming embedded in …

Background: Detecting recent and rapid spread of HIV can help prioritize prevention and
early treatment for those at highest risk of transmission. HIV genetic sequence data can …

Differentially private algorithms allow large-scale data analytics while preserving user
privacy. Designing such algorithms for graph data is gaining importance with the growth of …

Viral genetic sequencing can be used to monitor the spread of HIV drug resistance, identify
appropriate antiretroviral regimes, and characterize transmission dynamics. Despite …

Background HIV-1 genetic sequences can be used to infer viral transmission history and
dynamics. Throughout the United States, HIV-1 sequences from drug resistance testing are …

Background Infection prevention (IP) measures are designed to mitigate the transmission of
pathogens in healthcare. Using large-scale viral genomic and social network analyses, we …

Background Transgender women are among the groups at highest risk for HIV infection, with
a prevalence of 27· 7% in the USA; and despite this known high risk, undiagnosed infection …

Prevention of HIV outbreaks among people who inject drugs remains a challenge to ending
the HIV epidemic in the United States. The first legal syringe services program (SSP) in …