Crowd-Sourcing Epidemic Detection

Constantine Caramanis
University of Texas at Austin

The history of infections and epidemics holds famous examples where understanding, containing and ultimately treating an outbreak began with understanding its mode of spread. The key question then, is: which network of interactions is the main cause of the spread? Our current approaches to understand and predict epidemics rely on the scarce, but exact/reliable, expert diagnoses. In this talk we explore a different way forward: use more readily available but also more noisy and incomplete data to determine the causative network of an epidemic.

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