Use of molecular HIV surveillance data and predictive modeling to prioritize persons for transmission-reduction interventions

To develop a predictive model to prioritize persons with a transmissible HIV viral load for transmission-reduction interventions.New York City (NYC) HIV molecular surveillance data from 2010 to 2013 were used to build a model to predict the probability that the partial pol gene of the virus of a person with a transmissible HIV viral load (>1500 copies/ml) would be genetically similar to that of a person with a new HIV infection (diagnosis at...