Forecasting HIV-1 Genetic Cluster Growth in Illinois,United States.

ABSTRACT:

Background

HIV intervention activities directed toward both those most likely to transmit and their HIV-negative partners have the potential to substantially disrupt HIV transmission. Using HIV sequence data to construct molecular transmission clusters can reveal individuals whose viruses are connected. The utility of various cluster prioritization schemes measuring cluster growth have been demonstrated using surveillance data in New York City and across the United States, by the Centers for Disease Control and Prevention (CDC).

Methods

We examined clustering and cluster growth prioritization schemes using Illinois HIV sequence data that include cases from Chicago, a large urban center with high HIV prevalence, to compare their ability to predict future cluster growth.

Re

SUBMITTER: Ragonnet-Cronin M 

PROVIDER: S-EPMC8667185 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature