Cumulative query method for influenza surveillance using search engine data

Journal of Medical Internet Research

Volumn 16, Issue 12, 2014, Pages

  Seo, Dong Woo ^a   Jo, Min Woo ^a   Sohn, Chang Hwan ^a   Shin, Soo Yong ^b   Lee, Jae Ho ^a,b,c,d   Yu, Maengsoo ^e   Kim, Won Young ^a   Lim, Kyoung Soo ^a   Lee, Sang Il ^a  

^a University of Ulsan College of Medicine   (South Korea)

^b Asan Medical Center   (South Korea)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

^e Search Development Unit   (South Korea)

Author keywords

Google Flu Trends; Influenza; Influenza like illness; Internet search; Query; Syndromic surveillance system

Indexed keywords

ADULT; FEMALE; HEALTH SURVEY; HUMAN; INFLUENZA, HUMAN; INFORMATION PROCESSING; INTERNET; MALE; MIDDLE AGED; PROCEDURES; PUBLIC HEALTH SERVICE; SEARCH ENGINE; UNITED STATES;

ADULT; CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); DATA COLLECTION; FEMALE; HUMANS; INFLUENZA, HUMAN; INTERNET; MALE; MIDDLE AGED; POPULATION SURVEILLANCE; SEARCH ENGINE; UNITED STATES;

EID: 84965185252     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.3680     Document Type: Article

References (37)

1. Triple S Project. Assessment of syndromic surveillance in Europe. Lancet 2011 Nov 26; 378(9806):1833-1834. [doi: 10.1016/S0140-6736(11)60834-9] [Medline: 22118433]
2. Hirshon JM The rationale for developing public health surveillance systems based on emergency department data. Acad Emerg Med 2000 Dec; 7(12):1428-1432. [Medline: 11099436]
3. Henning KJ What is syndromic surveillance? MMWR Morb Mortal Wkly Rep 2004 Sep 24; 53 Suppl:5-11 [FREE Full text] [Medline: 15714620]
4. Ferguson NM, Cummings DA, Cauchemez S, Fraser C, Riley S, Meeyai A, et al. Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 2005 Sep 8; 437(7056):209-214. [doi: 10.1038/nature04017] [Medline: 16079797]
5. Longini IM, Nizam A, Xu S, Ungchusak K, Hanshaoworakul W, Cummings DA, et al. Containing pandemic influenza at the source. Science 2005 Aug 12; 309(5737):1083-1087 [FREE Full text] [doi: 10.1126/science.1115717] [Medline: 16079251]
6. Cheng CK, Cowling BJ, Lau EH, Ho LM, Leung GM, Ip DK. Electronic school absenteeism monitoring and influenza surveillance, Hong Kong. Emerg Infect Dis 2012 May; 18(5):885-887 [FREE Full text] [doi: 10.3201/eid1805.111796] [Medline: 22516519]
7. Egger JR, Hoen AG, Brownstein JS, Buckeridge DL, Olson DR, Konty KJ. Usefulness of school absenteeism data for predicting influenza outbreaks, United States. Emerg Infect Dis 2012 Aug; 18(8):1375-1377 [FREE Full text] [doi: 10.3201/eid1808.111538] [Medline: 22840354]
8. Galante M, Garin O, Sicuri E, Cots F, García-Altés A, Ferrer M, et al. Health services utilization, work absenteeism and costs of pandemic influenza A (H1N1) 2009 in Spain: a multicenter-longitudinal study. PLoS One 2012; 7(2):e31696 [FREE Full text] [doi: 10.1371/journal.pone.0031696] [Medline: 22348122]
9. Ohkusa Y, Shigematsu M, Taniguchi K, Okabe N. Experimental surveillance using data on sales of over-the-counter medications-Japan, November 2003-April 2004. MMWR Morb Mortal Wkly Rep 2005 Aug 26; 54 Suppl:47-52 [FREE Full text] [Medline: 16177693]
10. Patwardhan A, Bilkovski R. Comparison: Flu prescription sales data from a retail pharmacy in the US with Google Flu trends and US ILINet (CDC) data as flu activity indicator. PLoS One 2012; 7(8):e43611 [FREE Full text] [doi: 10.1371/journal.pone.0043611] [Medline: 22952719]
11. Vergu E, Grais RF, Sarter H, Fagot JP, Lambert B, Valleron AJ, et al. Medication sales and syndromic surveillance, France. Emerg Infect Dis 2006 Mar; 12(3):416-421 [FREE Full text] [doi: 10.3201/eid1205.050573] [Medline: 16704778]
12. Hill S, Mao J, Ungar L, Hennessy S, Leonard CE, Holmes J. Natural supplements for H1N1 influenza: retrospective observational infodemiology study of information and search activity on the Internet. J Med Internet Res 2011; 13(2):e36 [FREE Full text] [doi: 10.2196/jmir.1722] [Medline: 21558062]
13. Eysenbach G. Infodemiology: tracking flu-related searches on the web for syndromic surveillance. AMIA Annu Symp Proc 2006:244-248 [FREE Full text] [Medline: 17238340]
14. Hulth A, Rydevik G. Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010. Euro Surveill 2011; 16(18):-[FREE Full text] [Medline: 21586265]
15. Yang AC, Huang NE, Peng CK, Tsai SJ. Do seasons have an influence on the incidence of depression? The use of an internet search engine query data as a proxy of human affect. PLoS One 2010; 5(10):e13728 [FREE Full text] [doi: 10.1371/journal.pone.0013728] [Medline: 21060851]
16. Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res 2009; 11(1):e11 [FREE Full text] [doi: 10.2196/jmir.1157] [Medline: 19329408]
17. Chretien JP, George D, Shaman J, Chitale RA, McKenzie FE. Influenza forecasting in human populations: a scoping review. PLoS One 2014; 9(4):e94130 [FREE Full text] [doi: 10.1371/journal.pone.0094130] [Medline: 24714027]
18. Eysenbach G. Infodemiology and infoveillance tracking online health information and cyberbehavior for public health. Am J Prev Med 2011 May; 40(5 Suppl 2):S154-S158. [doi: 10.1016/j.amepre.2011.02.006] [Medline: 21521589]
19. Zheluk A, Gillespie JA, Quinn C. Searching for truth: internet search patterns as a method of investigating online responses to a Russian illicit drug policy debate. J Med Internet Res 2012; 14(6):e165 [FREE Full text] [doi: 10.2196/jmir.2270] [Medline: 23238600]
20. 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]
21. Liang B, Scammon DL. Incidence of online health information search: a useful proxy for public health risk perception. J Med Internet Res 2013; 15(6):e114 [FREE Full text] [doi: 10.2196/jmir.2401] [Medline: 23773974]
22. Yom-Tov E, Gabrilovich E. Postmarket drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries. J Med Internet Res 2013; 15(6):e124 [FREE Full text] [doi: 10.2196/jmir.2614] [Medline: 23778053]
23. 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]
24. Eurosurveillance editorial team. Google Flu Trends includes 14 European countries. Euro Surveill 2009; 14(40):-[FREE Full text] [Medline: 19822118]
25. Malik MT, Gumel A, Thompson LH, Strome T, Mahmud SM. "Google flu trends" and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba. Can J Public Health 2011; 102(4):294-297. [Medline: 21913587]
26. Ortiz JR, Zhou H, Shay DK, Neuzil KM, Fowlkes AL, Goss CH. Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends. PLoS One 2011; 6(4):e18687 [FREE Full text] [doi: 10.1371/journal.pone.0018687] [Medline: 21556151]
27. Valdivia A, Lopez-Alcalde J, Vicente M, Pichiule M, Ruiz M, Ordobas M. Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks - results for 2009-10. Euro Surveill 2010; 15(29): - [FREE Full text] [Medline: 20667303]
28. Wilson N, Mason K, Tobias M, Peacey M, Huang QS, Baker M. Interpreting Google flu trends data for pandemic H1N1 influenza: the New Zealand experience. Euro Surveill 2009; 14(44):-[FREE Full text] [Medline: 19941777]
29. Timpka T, Spreco A, Dahlström Ö, Eriksson O, Gursky E, Ekberg J, et al. Performance of eHealth data sources in local influenza surveillance: a 5-year open cohort study. J Med Internet Res 2014; 16(4):e116 [FREE Full text] [doi: 10.2196/jmir.3099] [Medline: 24776527]
30. Pervaiz F, Pervaiz M, Abdur Rehman N, Saif U. FluBreaks: early epidemic detection from Google flu trends. J Med Internet Res 2012; 14(5):e125 [FREE Full text] [doi: 10.2196/jmir.2102] [Medline: 23037553]
31. 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; 6(8):e23610 [FREE Full text] [doi: 10.1371/journal.pone.0023610] [Medline: 21886802]
32. Market share of search engine in South Korea. URL: http://www.webWebcitation.org/6QrnPuRwJ [accessed 2014-12-02] [WebCite Cache ID 6UVV1DSZJ]
33. Kang M, Zhong H, He J, Rutherford S, Yang F. Using Google Trends for influenza surveillance in South China. PLoS One 2013; 8(1):e55205 [FREE Full text] [doi: 10.1371/journal.pone.0055205] [Medline: 23372837]
34. Cho S, Sohn CH, Jo MW, Shin S Y, 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]
35. Search engine Daum. URL: http://www.webWebcitation.org/6RvfPYTwI [accessed 2014-12-01] [WebCite Cache ID 6UVV8V6Dr]
36. Korea Centers for Disease Control and Prevention. URL: http://www.webWebcitation.org/6QrlqwNxO [accessed 2014-12-01] [WebCite Cache ID 6UVVAvSvZ]
37. 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]