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This is a joint Math Biology Seminar and Computational and Applied Math Seminar
In this talk, we present an integrated framework for early detection of epidemic outbreaks based on real-time geo-tagged data in Twitter. We combine network theory, data mining and partial differential equation models to describe/predict patterns of epidemic spread at regional level. We also discuss the use of the framework in identifying patterns of fine particulate matter (PM2.5) transport in China at city level.