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Tool predicts outcomes of HIV policies

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A new computer simulation could help policymakers decide which actions to take against HIV/AIDS by modeling the possible outcomes of various interventions.

At the 2012 International AIDS Society Conference in Washington, DC, Brandon Marshall, an epidemiologist at Brown University, unveiled a computer program calibrated to accurately model the spread of HIV in New York City over a decade and to make specific predictions about the future of the epidemic under various intervention scenarios.

“It reflects what’s seen in the real world,” says Marshall. “What we’re trying to do is identify the ideal combination of interventions to reduce HIV most dramatically in injection drug users.”

Full story at Futurity.

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Photo credit: Brandon Marshall/Brown

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