296 related articles for article (PubMed ID: 21556151)
1. Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends.
Ortiz JR; Zhou H; Shay DK; Neuzil KM; Fowlkes AL; Goss CH
PLoS One; 2011 Apr; 6(4):e18687. PubMed ID: 21556151
[TBL] [Abstract][Full Text] [Related]
2. Using Google Trends for influenza surveillance in South China.
Kang M; Zhong H; He J; Rutherford S; Yang F
PLoS One; 2013; 8(1):e55205. PubMed ID: 23372837
[TBL] [Abstract][Full Text] [Related]
3. Correlation between national influenza surveillance data and google trends in South Korea.
Cho S; Sohn CH; Jo MW; Shin SY; Lee JH; Ryoo SM; Kim WY; Seo DW
PLoS One; 2013; 8(12):e81422. PubMed ID: 24339927
[TBL] [Abstract][Full Text] [Related]
4. Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska.
Araz OM; Bentley D; Muelleman RL
Am J Emerg Med; 2014 Sep; 32(9):1016-23. PubMed ID: 25037278
[TBL] [Abstract][Full Text] [Related]
5. The reliability of tweets as a supplementary method of seasonal influenza surveillance.
Aslam AA; Tsou MH; Spitzberg BH; An L; Gawron JM; Gupta DK; Peddecord KM; Nagel AC; Allen C; Yang JA; Lindsay S
J Med Internet Res; 2014 Nov; 16(11):e250. PubMed ID: 25406040
[TBL] [Abstract][Full Text] [Related]
6. Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time.
McIver DJ; Brownstein JS
PLoS Comput Biol; 2014 Apr; 10(4):e1003581. PubMed ID: 24743682
[TBL] [Abstract][Full Text] [Related]
7. Using Web and social media for influenza surveillance.
Corley CD; Cook DJ; Mikler AR; Singh KP
Adv Exp Med Biol; 2010; 680():559-64. PubMed ID: 20865540
[TBL] [Abstract][Full Text] [Related]
8. Cumulative query method for influenza surveillance using search engine data.
Seo DW; Jo MW; Sohn CH; Shin SY; Lee J; Yu M; Kim WY; Lim KS; Lee SI
J Med Internet Res; 2014 Dec; 16(12):e289. PubMed ID: 25517353
[TBL] [Abstract][Full Text] [Related]
9. FluBreaks: early epidemic detection from Google flu trends.
Pervaiz F; Pervaiz M; Abdur Rehman N; Saif U
J Med Internet Res; 2012 Oct; 14(5):e125. PubMed ID: 23037553
[TBL] [Abstract][Full Text] [Related]
10. Interpreting Google flu trends data for pandemic H1N1 influenza: the New Zealand experience.
Wilson N; Mason K; Tobias M; Peacey M; Huang QS; Baker M
Euro Surveill; 2009 Nov; 14(44):. PubMed ID: 19941777
[TBL] [Abstract][Full Text] [Related]
11. Using networks to combine "big data" and traditional surveillance to improve influenza predictions.
Davidson MW; Haim DA; Radin JM
Sci Rep; 2015 Jan; 5():8154. PubMed ID: 25634021
[TBL] [Abstract][Full Text] [Related]
12. Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis.
Sharpe JD; Hopkins RS; Cook RL; Striley CW
JMIR Public Health Surveill; 2016 Oct; 2(2):e161. PubMed ID: 27765731
[TBL] [Abstract][Full Text] [Related]
13. Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits.
Klembczyk JJ; Jalalpour M; Levin S; Washington RE; Pines JM; Rothman RE; Dugas AF
J Med Internet Res; 2016 Jun; 18(6):e175. PubMed ID: 27354313
[TBL] [Abstract][Full Text] [Related]
14. Google Flu Trends in Canada: a comparison of digital disease surveillance data with physician consultations and respiratory virus surveillance data, 2010-2014.
Martin LJ; Lee BE; Yasui Y
Epidemiol Infect; 2016 Jan; 144(2):325-32. PubMed ID: 26135239
[TBL] [Abstract][Full Text] [Related]
15. Emergency department and 'Google flu trends' data as syndromic surveillance indicators for seasonal influenza.
Thompson LH; Malik MT; Gumel A; Strome T; Mahmud SM
Epidemiol Infect; 2014 Nov; 142(11):2397-405. PubMed ID: 24480399
[TBL] [Abstract][Full Text] [Related]
16. Comparison of five influenza surveillance systems during the 2009 pandemic and their association with media attention.
de Lange MM; Meijer A; Friesema IH; Donker GA; Koppeschaar CE; Hooiveld M; Ruigrok N; van der Hoek W
BMC Public Health; 2013 Sep; 13():881. PubMed ID: 24063523
[TBL] [Abstract][Full Text] [Related]
17. Using electronic health records and Internet search information for accurate influenza forecasting.
Yang S; Santillana M; Brownstein JS; Gray J; Richardson S; Kou SC
BMC Infect Dis; 2017 May; 17(1):332. PubMed ID: 28482810
[TBL] [Abstract][Full Text] [Related]
18. Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales.
Olson DR; Konty KJ; Paladini M; Viboud C; Simonsen L
PLoS Comput Biol; 2013; 9(10):e1003256. PubMed ID: 24146603
[TBL] [Abstract][Full Text] [Related]
19. Effective detection of the 2009 H1N1 influenza pandemic in U.S. Veterans Affairs medical centers using a national electronic biosurveillance system.
Schirmer P; Lucero C; Oda G; Lopez J; Holodniy M
PLoS One; 2010 Mar; 5(3):e9533. PubMed ID: 20209055
[TBL] [Abstract][Full Text] [Related]
20. [Using Google Trends to estimate the incidence of influenza-like illness in Argentina].
Orellano PW; Reynoso JI; Antman J; Argibay O
Cad Saude Publica; 2015 Apr; 31(4):691-700. PubMed ID: 25945979
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
