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A data-driven approach to reducing the spread of infectious disease
Researchers use mathematical modeling to figure out the best way to allocate scarce budgets for infectious disease treatment and prevention.
Cora Lynn Bernard, a PhD candidate in the Department of Management Science and Engineering, discusses how she is collecting data and applying leading-edge analytics and other management science techniques to slow the spread of infectious disease.
