Using Twitter to Track the Flu

March 12, 2013

Johns Hopkins Computer Scientists Michael J. Paul and Mark Dredze analyzed two billion Tweets for relevance to health information and then compared the results to data from the Centers for Disease Control. They demonstrated that Twitter can accurately track the spread of influenza, the peak of allergies and predict how diseases spread and change over time. Their research suggests new uses for big data.

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