New York City continues to battle an HIV epidemic, including among drug users. There are many possible interventions. Researchers have developed a sophisticated predictive computer model to help policymakers figure out which interventions, or combinations of interventions, would have the most meaningful impact.
Brandon Marshall, assistant professor of epidemiology at Brown University, has led the simulation effort ever since he was a postdoctoral scholar at Columbia University. In a new paper in the March edition of the journal Health Affairs a team from Brown and Columbia published the results of the simulation, which projects that New York can significantly reduce new infections among drug users by 2040 by implementing certain combinations of interventions. Marshall spoke with David Orenstein about what the predictive computer model shows. (more…)