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This talk provides a brief introduction on methods for performing health surveillance tasks using online usergenerated data. Four case studies are being presented: a) the original Google Flu Trends model, b) a basic model for mapping Twitter data to influenza rates, c) an improved Google Flu Trends model, and d) a method for assessing the impact of a health intervention from Internet data.
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