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De Quincey, EJ, Pantin, T, Kyriacou, T and Williams, N (2014) Potential of social media to determine hay fever seasons and drug efficacy. Planet@ Risk, 2 (4). ISSN 2296-8172

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Abstract

This working paper describes an exploratory study that has collected and analysed over 130,000 UK geolocated tweets from June 2012 to April 2013 that contained instances of the words “hayfever” and “hay fever”. Preliminary results indicate that the temporal and geographical distribution of tweets correlates with expected seasons and locations but allows for a finer level of granularity than currently available data sets. Common phrases that are being used and complaints relating to drug efficacy are also discussed as well as future planned analyses in areas related to risk management.

Item Type: Article
Uncontrolled Keywords: Hay fever, Hayfever, allergic rhinitis, Social Media, twitter, eHealth
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Depositing User: Symplectic
Date Deposited: 08 Jul 2016 08:14
Last Modified: 20 May 2019 09:24
URI: https://eprints.keele.ac.uk/id/eprint/2006

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