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Cardiovascular disease is the #1 killer of American adults. Preliminary data suggest that community social risk factors such as violent crime events, closures of food stores or pharmacies, and outages along critical mass transit lines are associated with increased risk for cardiovascular events and worsened control of cardiovascular risk factors such as blood pressure and cholesterol. The project will determine how community stressors relate to cardiovascular events and develop a prediction model and a prototype software tool to identify patients at highest risk for cardiovascular events during their periods of peak risk, so that healthcare providers can more efficiently target interventions to the patients who need them most.

Team

Corey Tabit

Assistant Professor of Medicine

Marynia Kolak

Assistant Director for Health Informatics, Center for Spatial Data Science

Elizabeth Tung

Instructor of Medicine