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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.

Stocksy/David Smart


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.

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