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#Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season

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dc.contributor.advisor Dewey, Cate
dc.contributor.advisor Poljak, Zvonimir
dc.contributor.author Beswick, Adam
dc.date.accessioned 2016-08-23T13:54:57Z
dc.date.available 2016-08-23T13:54:57Z
dc.date.copyright 2016-07
dc.date.created 2016-07-07
dc.date.issued 2016-08-23
dc.identifier.uri http://hdl.handle.net/10214/9875
dc.description.abstract This study explored the utility of Twitter metadata as it relates to influenza surveillance in Canada. Twitter metadata posted between July 2013 and August 2014 containing influenza-related keywords (e.g. influenza, flu, cough) was analyzed using a variety of methodologies. Predictive regression models demonstrated differential utility of specific keywords; Tweets containing several keywords were strongly associated with influenza activity (flu, influenza, grippe), whereas a weaker association was observed with Tweets containing other keywords (e.g. cough, fever). Correlation analysis demonstrated that non-retweets and Tweets that did not contain a URL link were better correlated with influenza cases than retweets and Tweets containing a URL link, respectively. Geospatial cluster analysis showed that Twitter metadata could be used to identify local clusters of influenza-related Twitter chatter; clusters matched traditional surveillance reports in both space and time. Geospatial cluster analysis also identified clusters in areas not reported by the national Fluwatch program. en_US
dc.description.sponsorship Canadian Institute of Health Research, Ontario Veterinary College Graduate Fellowship en_US
dc.language.iso en en_US
dc.subject Influenza en_US
dc.subject Twitter en_US
dc.subject surveillance en_US
dc.subject Canada en_US
dc.title #Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season en_US
dc.type Thesis en_US
dc.degree.programme Population Medicine en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Population Medicine en_US
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