Towards early detection of influenza epidemics by using social media analytics

Frontiers in Artificial Intelligence and Applications

Volumn 261, Issue , 2014, Pages 36-41

  Kim, Kwang Deok ^a   Hossain, Liaquat ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Early detection; Influenza epidemics; Social media analytics

Indexed keywords

DISEASE CONTROL; SEARCH ENGINES; SOCIAL NETWORKING (ONLINE);

CENTRES FOR DISEASE CONTROL AND PREVENTIONS; DISEASE OUTBREAKS; EARLY DETECTION; GOOGLE+; HEALTH CONCERNS; INFLUENZA EPIDEMICS; QUERY DATUM; SEARCH QUERIES; SOCIAL MEDIA ANALYTICS; US CENSUS BUREAU;

CORRELATION METHODS; SOCIAL NETWORKING (ONLINE);

EID: 84902279001     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-61499-399-5-36     Document Type: Conference Paper

References (20)

1. Johnson, H.A., Wagner, M.M., Hogan, W.R., Chapman, W., Olszewski, R.T., Dowling, J. and Barnas, G. (2004). Analysis of Web access logs for surveillance of influenza. Stud Health Technol Inform., 107:1202-1206.
2. Culotta, A. (2010). Towards detecting influenza epidemics by analyzing Twitter messages. Paper presented at 1st Workshop on Social Media Analytics (SOMA's 10). Washington, DC, USA.
3. WHO. (2009). Influenza fact sheet. Accessed: 2014 from http://www.who.int/mediacentre/factsheets/fs211/en/
4. Ferguson, N.M., Cummings, D.A.T., Cauchemez, S., Fraser, C., Riley, S., Meeyai, A., Iamsirithaworn, S. and Burke, D.S. (2005). Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature, 437:209-214.
5. Longini, I.M.J., Nizam, A., Xu, S., Ungchusak, K., Hanshaoworakul, W., Cummings, D.A.T. and Halloran, M.E. (2005). Containing Pandemic Influenza at the Source. Science, 309:1083-1087.
6. Aramaki, E., Maskawa, S. and Morita, M. (2012). Influenza Patients Are Invisible in the Web: Traditional Model Still Improves the State-of-the-Art Web Based Influenza Surveillance. AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness.
7. Carneiro, H.A. and Mylonakis, E. (2009). Google trends: a web-based tool for real-time surveillance of disease outbreaks.". Clinical infectious diseases, 49(10):1557-1564.
8. Espino, J.U., Hogan, W.R. and Wagner, M.M. (2003). Telephone triage: a timely data source for surveillance of influenza-like diseases. Paper presented at AMIA Annual Symposium Proceedings.
9. Magruder, S. (2003). Evaluation of over-the-counter pharmaceutical sales as a possible early warning indicator of human disease. Johns Hopkins APL technical digest, 24(4):349-353.
10. Polgreen, P.M., Chen, Y., Pennock, D.M., Nelson, F.D. and Weinstein, R.A. (2008). Using internet searches for influenza surveillance. Clinical infectious diseases, 47(11):1443-1448.
11. Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S. and Brilliant, L. (2008). Detecting influenza epidemics using search engine query data. Nature, 457:1012-1014.
12. Brammer, L., Budd, A. and Cox, N. (2009). Seasonal and pandemic influenza surveillance considerations for constructing multicomponent systems. Influenza and other respiratory viruses, 3(2):51-58.
13. Ortiz, J.R., Zhou, H., Shay, D.K., Neuzil, K.M., Fowlkes, A.L. and Goss, C.H. (2011). Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends. PloS one, 6(4):e18687.
14. Grossman, L. (2013). Google searches mined to uncover our true opinions. NewScientist. Accessed: 2013 from http://www.newscientist.com/article/dn23934- google-searches-mined-to-uncover-our-true-opinions.html#.Uta2rNIW3h4
15. Helft, M. (2008). Google Uses Searches to Track Flu's spread. The New York Times. Accessed: 2013 from http://www.nytimes.com/2008/11/12/technology/ internet/12flu.html?-r=0
16. Kramer, L.D., Li, J. and Shi, P.-Y. (2007). West Nile virus. The Lancet Neurology, 6(2):171-181.
17. WHO. Health Topics: SARS. World Health Organization. Accessed: 2014 from http://www.who.int/topics/sars/en/
18. Naughton, J. (2008). When Google sneezes, the whole world catches a cold. The Guardian. Accessed: 2014 from http://www.theguardian.com/media/2008/nov/16/ google-trends-flu
19. Shiga, D. (2008). When the world catches flu, Google sneezes. NewScientist. Accessed: 2014 from http://www.newscientist.com/article/dn16013- when-the-world-catches-flu-google-sneezes.html#.UtbF5dIW3h4
20. Brenner, J. and Smith, A. (2013). 72% of Online Adults are Social Networking Site Users. Pew Research Center. Accessed: 2013 from http://pewinternet.org/Reports/2013/social-networking-sites.aspx