Data Science, Global Public Health, and Chronic Disease
Using data to predict individual health outcomes based on treatments, genomics, and lifestyle and behavioral factors may lead to some of the biggest advances in health care.
Health analytics is at the core of much of the most progressive public health research and interventions happening globally. Timothy Dye, professor and associate chair for research in the Department of Obstetrics and Gynecology and the director of biomedical informatics for the Clinical and Translational Science Institute, is harnessing this field’s potential to examine the impact of community-based interventions on chronic disease risk behaviors, such as smoking.
Dye also leads the School of Medicine and Dentistry’s efforts as the coordinating center for the Global and Territorial Health Research Network, which was recently established by the Centers for Disease Control and Prevention. This network develops and carries out public health research and interventions in the U.S. territories in the Pacific and Caribbean. “Our goal is not only to help these communities address their own chronic disease challenges, but also to take the lessons that are learned there and apply them to public health problems closer to home,” says Dye, who leads Rochester’s role in the network.
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