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Detecting disease outbreaks in mass gatherings using Internet data.

Yom-Tov, E; Borsa, D; Cox, IJ; McKendry, RA; (2014) Detecting disease outbreaks in mass gatherings using Internet data. J Med Internet Res , 16 (6) , Article e154. 10.2196/jmir.3156. Green open access

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Abstract

Mass gatherings, such as music festivals and religious events, pose a health care challenge because of the risk of transmission of communicable diseases. This is exacerbated by the fact that participants disperse soon after the gathering, potentially spreading disease within their communities. The dispersion of participants also poses a challenge for traditional surveillance methods. The ubiquitous use of the Internet may enable the detection of disease outbreaks through analysis of data generated by users during events and shortly thereafter.

Type: Article
Title: Detecting disease outbreaks in mass gatherings using Internet data.
Location: Canada
Open access status: An open access version is available from UCL Discovery
DOI: 10.2196/jmir.3156
Publisher version: http://dx.doi.org/10.2196/jmir.3156
Language: English
Additional information: Copyright ©Elad Yom-Tov, Diana Borsa, Ingemar J Cox, Rachel A McKendry. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.06.2014. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
Keywords: data mining, infectious disease, infodemiology, information retrieval, mass gatherings, Communicable Diseases, Data Collection, Data Mining, Disease Outbreaks, Great Britain, Humans, Information Seeking Behavior, Internet, Mass Behavior, Music, Public Health Surveillance, Recreation, Saudi Arabia, Search Engine
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > London Centre for Nanotechnology
URI: https://discovery.ucl.ac.uk/id/eprint/1443410
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