Theocharis Kyriacou t.kyriacou@keele.ac.uk
Potential of social media to determine hay fever seasons and drug efficacy
Kyriacou; De Quincey
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.
| Acceptance Date | Jul 1, 2014 |
|---|---|
| Publication Date | Jul 1, 2014 |
| Journal | Planet@ Risk |
| Print ISSN | 2296-8172 |
| Keywords | Hay fever, Hayfever, allergic rhinitis, Social Media, twitter, eHealth |
| Publisher URL | https://planet-risk.org/index.php/pr/article/view/96/236 |
You might also like
Prediction of cardiovascular disease in patients with unattributed chest pain in UK primary care
(2022)
Conference Proceeding
Effects of Surface Chemistry Interaction on Primary Neural Stem Cell Neurosphere Responses.
(2021)
Journal Article
Evaluation of Wearable Electronics for Epilepsy: A Systematic Review
(2020)
Journal Article
Improving predictor selection for injury modelling methods in male footballers
(2020)
Journal Article
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search