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Predicting Flu Trends using Twitter DataHarshavardhan Achrekar Avinash Gandhe Ross Lazarus Ssu-Hsin Yu Benyuan Liu Department of computer Science Scientific Systems Company Inc Department of Population MedicineUniversity of Massachusetts Lowell500 West Cummings ParkHarvard Medical SchoolLowell, MA 01854Woburn, MA 01801Boston, MA 02101Abstract Reducing the impact of seasonal influenza epidemicsand other pandemics such as the H1N1 is of paramount im-portance for public health authorities. Studies have shownthateffective interventions can be taken to contain the epidemics ifearly detection can be made. Traditional approach employedbythe Centers for Disease Control and Prevention (CDC) includescollecting influenza-like illness (ILI) activity data from sentinel medical practices.

Predicting Flu Trends using Twitter Data Harshavardhan Achrekar ∗ Avinash Gandhe † Ross Lazarus ‡ Ssu-Hsin Yu † Benyuan Liu ∗ ∗ Department of Computer Science † Scientific Systems Company Inc ‡ Department of Population Medicine

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