Estimating influenza outbreaks using both search engine query data and social media data in South Korea

Journal of Medical Internet Research

Volumn 18, Issue 7, 2016, Pages

  Woo, Hyekyung ^a   Cho, Youngtae ^a   Shim, Eunyoung ^a   Lee, Jong Koo ^a   Lee, Chang Gun ^a   Kim, Seong Hwan ^b  

^a Seoul National University   (South Korea)

^b Kakao Corporation   (South Korea)

Author keywords

Big data; Early response; Epidemiology; Forecasting; Influenza; Infodemiology; Infoveillance; Internet search; Population surveillance; Query; Social media; Surveillance

Indexed keywords

EPIDEMIC; EPIDEMIOLOGICAL MONITORING; FEASIBILITY STUDY; HUMAN; INFLUENZA, HUMAN; INTERNET; REGRESSION ANALYSIS; SEARCH ENGINE; SOCIAL MEDIA; SOUTH KOREA; STATISTICS AND NUMERICAL DATA; SUPPORT VECTOR MACHINE;

DISEASE OUTBREAKS; EPIDEMIOLOGICAL MONITORING; FEASIBILITY STUDIES; HUMANS; INFLUENZA, HUMAN; INTERNET; REGRESSION ANALYSIS; REPUBLIC OF KOREA; SEARCH ENGINE; SOCIAL MEDIA; SUPPORT VECTOR MACHINE;

EID: 84989916542     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.4955     Document Type: Article

References (25)

1. Cho S, Sohn CH, Jo MW, Shin S, Lee JH, Ryoo SM, et al. Correlation between national influenza surveillance data and google trends in South Korea. PLoS One 2013;8(12):e81422 [FREE Full text] [doi: 10.1371/journal.pone.0081422] [Medline: 24339927]
2. Cook S, Conrad C, Fowlkes AL, Mohebbi MH. Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. PLoS One 2011 Aug;6(8):e23610 [FREE Full text] [doi: 10.1371/journal.pone.0023610] [Medline: 21886802]
3. Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L. Detecting influenza epidemics using search engine query data. Nature 2009 Feb 19;457(7232):1012-1014. [doi: 10.1038/nature07634] [Medline: 19020500]
4. Polgreen PM, Chen Y, Pennock DM, Nelson FD. Using internet searches for influenza surveillance. Clin Infect Dis 2008 Dec 1;47(11):1443-1448 [FREE Full text] [doi: 10.1086/593098] [Medline: 18954267]
5. Yuan Q, Nsoesie EO, Lv B, Peng G, Chunara R, Brownstein JS. Monitoring influenza epidemics in china with search query from baidu. PLoS One 2013 May;8(5):e64323 [FREE Full text] [doi: 10.1371/journal.pone.0064323] [Medline: 23750192]
6. Hulth A, Rydevik G, Linde A. Web queries as a source for syndromic surveillance. PLoS One 2009;4(2):e4378 [FREE Full text] [doi: 10.1371/journal.pone.0004378] [Medline: 19197389]
7. Lazer D, Kennedy R, King G, Vespignani A. Big data. The parable of Google Flu: Traps in big data analysis. Science 2014 Mar 14;343(6176):1203-1205. [doi: 10.1126/science.1248506] [Medline: 24626916]
8. Lazer D, Kennedy R, King G, Vespignani A. Twitter: Big data opportunities-response. Science 2014;345(6193):148-149. [Medline: 25013053]
9. Seo DW, Jo MW, Sohn CH, Shin SY, Lee JH, Yu M, et al. Cumulative query method for influenza surveillance using search engine data. J Med Internet Res 2014 Dec;16(12):e289 [FREE Full text] [doi: 10.2196/jmir.3680] [Medline: 25517353]
10. Kang M, Zhong H, He J, Rutherford S, Yang F. Using Google Trends for influenza surveillance in South China. PLoS One 2013 Jan;8(1):e55205 [FREE Full text] [doi: 10.1371/journal.pone.0055205] [Medline: 23372837]
11. The World in 2015: ICT Facts and Figures. Geneva, Switwerland: International Telecommunication Union; 2014. URL: Http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2015.pdf [accessed 2015-07-09] [WebCite Cache ID 6Zt1Nb6VZ]
12. Infectious Disease Statistics System, Korea Centers for Disease Control and Prevention. URL: Http://is.cdc.go.kr/dstat/index.jsp [accessed 2015-07-09] [WebCite Cache ID 6Zt0Q7gKi]
13. NAVER. URL: Http://section.blog.naver.com [accessed 2015-07-09] [WebCite Cache ID 6Zt0XhwPJ]
14. Daum. URL: Http://www.daum.net/[accessed 2015-07-09] [WebCite Cache ID 6Zt0cdyl1]
15. Internet Trend. 2015. Market share of search engine in South Korea URL: Http://www.internettrend.co.kr/trendForward.tsp [accessed 2014-07-06] [WebCite Cache ID 6QrnPuRwJ]
16. He Q, Jiang D, Liao Z. Web query recommendation via sequential query prediction. 2009 Mar 29 Presented at: IEEE 25th International Conference on Data Engineering; Mar 29-Apr 2, 2009; Shanghai p. 1443-1454 URL: Http://ieeexplore.ieee.org/xpls/abs-all.jsp?arnumber=4812545 [WebCite Cache ID 6iPJPmh3V]
17. Baeza-Yates R, Hurtado C, Mendoza M. Query recommendation using query logs in search engines. In: Current Trends in Database Technology - EDBT 2004 Workshops. Berlin: Springer Berlin Heidelberg; Mar 14, 2004:588-596.
18. Centers for Disease Control and Prevention. 2015. Flu symptoms and complications URL: Http://www.cdc.gov/FLU/ABOUT/disease/symptoms.htm [accessed 2015-07-09] [WebCite Cache ID 6Zt0j4vyV]
19. Guyon I, Elisseeff A. An introduction to variable and feature selection. J Mach Learn Res 2003 Mar 01;3:1157-1182.
20. Saeys Y, Inza I, Larrañaga P. A review of feature selection techniques in bioinformatics. Bioinformatics 2007 Oct 1;23(19):2507-2517 [FREE Full text] [doi: 10.1093/bioinformatics/btm344] [Medline: 17720704]
21. Li F, Yang Y, Xing E. From lasso regression to feature vector machine. 2005 Presented at: Advances in Neural Information Processing Systems 18; Dec 5-8, 2005; Vancouver, BC p. 411-418.
22. Smola AJ, Schölkopf B. A tutorial on support vector regression. Stat Comput 2004 Aug;14(3):199-222. [doi: 10.1023/B:STCO.0000035301.49549.88]
23. Milinovich GJ, Williams GM, Clements AC, Hu W. Internet-based surveillance systems for monitoring emerging infectious diseases. Lancet Infect Dis 2014 Feb;14(2):160-168. [doi: 10.1016/S1473-3099(13)70244-5] [Medline: 24290841]
24. Althouse BM, Ng YY, Cummings DA. Prediction of dengue incidence using search query surveillance. PLoS Negl Trop Dis 2011 Aug;5(8):e1258 [FREE Full text] [doi: 10.1371/journal.pntd.0001258] [Medline: 21829744]
25. Bernardo TM, Rajic A, Young I, Robiadek K, Pham MT, Funk JA. Scoping review on search queries and social media for disease surveillance: A chronology of innovation. J Med Internet Res 2013;15(7):e147 [FREE Full text] [doi: 10.2196/jmir.2740] [Medline: 23896182]