National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic

David A. Broniatowski; Michael J. Paul; Mark Dredze

doi:10.1371/journal.pone.0083672

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Open Access

Peer-reviewed

Research Article

National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic

David A. Broniatowski,

Affiliations Department of Engineering Management and Systems Engineering, The George Washington University, Washington, District of Columbia, United States of America, Center for Advanced Modeling in the Social, Behavioral, and Health Sciences, Department of Emergency Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
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Michael J. Paul ,

* E-mail: mpaul@cs.jhu.edu

Affiliation Department of Computer Science and Center for Language and Speech Processing, Johns Hopkins University, Baltimore, Maryland, United States of America
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Mark Dredze

Affiliation Human Language Technology Center of Excellence and Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America
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National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic

David A. Broniatowski,
Michael J. Paul,
Mark Dredze

Published: December 9, 2013
https://doi.org/10.1371/journal.pone.0083672

About the Authors

David A. Broniatowski

Affiliations Department of Engineering Management and Systems Engineering, The George Washington University, Washington, District of Columbia, United States of America, Center for Advanced Modeling in the Social, Behavioral, and Health Sciences, Department of Emergency Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America

Michael J. Paul

* E-mail: mpaul@cs.jhu.edu

Affiliation Department of Computer Science and Center for Language and Speech Processing, Johns Hopkins University, Baltimore, Maryland, United States of America

Mark Dredze

Affiliation Human Language Technology Center of Excellence and Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: MJP MD. Performed the experiments: MJP. Analyzed the data: DAB MJP MD. Contributed reagents/materials/analysis tools: MD. Wrote the manuscript: DAB MJP MD.

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Influenza
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Twitter
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Infectious disease surveillance
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Social media
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Autocorrelation
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Disease surveillance
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New York
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Behavioral and social aspects of health
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