Mapping tweets to a known disease epidemiology; a case study of Lyme disease in the United Kingdom and Republic of Ireland-Reference-Cited by-同舟云学术

Mapping tweets to a known disease epidemiology; a case study of Lyme disease in the United Kingdom and Republic of Ireland

Published:2019 Issue: Volume:100 Page:100060
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Tulloch John S.P.,Vivancos Roberto,Christley Rob M.,Radford Alan D.,Warner Jenny C.

Funder

National Institute for Health Research Health Protection Research Unit

University of Liverpool

Public Health England

Liverpool School of Tropical Medicine

PHE Rare and Imported Pathogens Laboratory

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference53 articles.

1. Social Media, Most popular social networks in the UK. Available from: https://social-media.co.uk/list-popular-social-networking-websites (accessed 25th March 2019).

2. Ipsos, Tech Tracker Quarterly Release: Q4, 2017. Available from: https://www.ipsos.com/sites/default/files/ct/publication/documents/2018-01/ipsos-tech_tracker_q4_2017.pdf (accessed 25th March 2019).

3. Ipsos, Social Networking, Aug 2017. Available from: https://www.ipsos.com/en-ie/social-networking-aug-2017 (accessed 25th March 2019).

4. Twitter, Twitter. Available from: https://twitter.com/ (accessed 25th March 2019).

5. Patients’ and health professionals’ use of social media in health care: motives, barriers and expectations;Antheunis;Patient Educ. Couns.,2013

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