Regional Level Influenza Study with Geo-Tagged Twitter Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-016-0545-y.pdf
Reference15 articles.
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2. Lazer, D., Kennedy, R., King, G., and Vespignani, A., The parable of google flu: Traps in big data analysis. Science 343:1203–1205, 2014.
3. Broniatowski, D.A., Paul, M.J., and Dredze, M., Twitter: Big data opportunities. Science 345:148, 2014.
4. Broniatowski, D.A., Paul, M.J., and Dredze, M., National and local influenza surveillance through twitter: An analysis of the 2012-2013 influenza epidemic. PLoS one 8, 2013.
5. Achrekar, H.A., Gandhe, R., Lazarus, S. H.Y. u., and Liu, B.: Predicting Flu Trends using Twitter data, IEEE Conference on Computer Communications Workshop on Cyber-Physical Networking Systems (2011)
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