These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

359 related articles for article (PubMed ID: 25517353)

  • 1. 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]  

  • 2. 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]  

  • 3. Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea.
    Shin SY; Kim T; Seo DW; Sohn CH; Kim SH; Ryoo SM; Lee YS; Lee JH; Kim WY; Lim KS
    PLoS One; 2016; 11(7):e0158539. PubMed ID: 27391028
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea.
    Woo H; Cho Y; Shim E; Lee JK; Lee CG; Kim SH
    J Med Internet Res; 2016 Jul; 18(7):e177. PubMed ID: 27377323
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using web search queries to monitor influenza-like illness: an exploratory retrospective analysis, Netherlands, 2017/18 influenza season.
    Schneider PP; van Gool CJ; Spreeuwenberg P; Hooiveld M; Donker GA; Barnett DJ; Paget J
    Euro Surveill; 2020 May; 25(21):. PubMed ID: 32489174
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. [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]  

  • 8. Age-related differences in the accuracy of web query-based predictions of influenza-like illness.
    Domnich A; Panatto D; Signori A; Lai PL; Gasparini R; Amicizia D
    PLoS One; 2015; 10(5):e0127754. PubMed ID: 26011418
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Advances in nowcasting influenza-like illness rates using search query logs.
    Lampos V; Miller AC; Crossan S; Stefansen C
    Sci Rep; 2015 Aug; 5():12760. PubMed ID: 26234783
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic.
    Cook S; Conrad C; Fowlkes AL; Mohebbi MH
    PLoS One; 2011; 6(8):e23610. PubMed ID: 21886802
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Syndromic surveillance for influenza in Tianjin, China: 2013-14.
    Dong X; Boulton ML; Carlson B; Montgomery JP; Wells EV
    J Public Health (Oxf); 2017 Jun; 39(2):274-281. PubMed ID: 26968483
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Syndromic surveillance models using Web data: the case of scarlet fever in the UK.
    Samaras L; García-Barriocanal E; Sicilia MA
    Inform Health Soc Care; 2012 Mar; 37(2):106-24. PubMed ID: 22360741
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Subregional Nowcasts of Seasonal Influenza Using Search Trends.
    Kandula S; Hsu D; Shaman J
    J Med Internet Res; 2017 Nov; 19(11):e370. PubMed ID: 29109069
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Performance of eHealth data sources in local influenza surveillance: a 5-year open cohort study.
    Timpka T; Spreco A; Dahlström Ö; Eriksson O; Gursky E; Ekberg J; Blomqvist E; Strömgren M; Karlsson D; Eriksson H; Nyce J; Hinkula J; Holm E
    J Med Internet Res; 2014 Apr; 16(4):e116. PubMed ID: 24776527
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015.
    Liang F; Guan P; Wu W; Huang D
    PeerJ; 2018; 6():e5134. PubMed ID: 29967755
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.