BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 25945979)

  • 21. Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries.
    Clemente L; Lu F; Santillana M
    JMIR Public Health Surveill; 2019 Apr; 5(2):e12214. PubMed ID: 30946017
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. "Google flu trends" and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba.
    Malik MT; Gumel A; Thompson LH; Strome T; Mahmud SM
    Can J Public Health; 2011; 102(4):294-7. PubMed ID: 21913587
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. 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]  

  • 26. Self-Swabbing for Virological Confirmation of Influenza-Like Illness Among an Internet-Based Cohort in the UK During the 2014-2015 Flu Season: Pilot Study.
    Wenham C; Gray ER; Keane CE; Donati M; Paolotti D; Pebody R; Fragaszy E; McKendry RA; Edmunds WJ
    J Med Internet Res; 2018 Mar; 20(3):e71. PubMed ID: 29496658
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. 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]  

  • 29. Improving Google Flu Trends estimates for the United States through transformation.
    Martin LJ; Xu B; Yasui Y
    PLoS One; 2014; 9(12):e109209. PubMed ID: 25551391
    [TBL] [Abstract][Full Text] [Related]  

  • 30. The added value of online user-generated content in traditional methods for influenza surveillance.
    Wagner M; Lampos V; Cox IJ; Pebody R
    Sci Rep; 2018 Sep; 8(1):13963. PubMed ID: 30228285
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Intrest in influenza and influenza like illnesses in Poland 2016-2021 based on Google Trend's data analysis.
    Sycińska-Dziarnowska M; Woźniak K; Paradowska-Stankiewicz I
    Przegl Epidemiol; 2022; 76(1):11-18. PubMed ID: 35860920
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. 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]  

  • 34. Utilizing syndromic surveillance data for estimating levels of influenza circulation.
    Patterson-Lomba O; Van Noort S; Cowling BJ; Wallinga J; Gomes MG; Lipsitch M; Goldstein E
    Am J Epidemiol; 2014 Jun; 179(11):1394-401. PubMed ID: 24748609
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Eight years of the Great Influenza Survey to monitor influenza-like illness in Flanders.
    Vandendijck Y; Faes C; Hens N
    PLoS One; 2013; 8(5):e64156. PubMed ID: 23691162
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Effectiveness of a Mobile-Based Influenza-Like Illness Surveillance System (FluMob) Among Health Care Workers: Longitudinal Study.
    Lwin MO; Lu J; Sheldenkar A; Panchapakesan C; Tan YR; Yap P; Chen MI; Chow VT; Thoon KC; Yung CF; Ang LW; Ang BS
    JMIR Mhealth Uhealth; 2020 Dec; 8(12):e19712. PubMed ID: 33284126
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A review of influenza detection and prediction through social networking sites.
    Alessa A; Faezipour M
    Theor Biol Med Model; 2018 Feb; 15(1):2. PubMed ID: 29386017
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Google Flu Trends includes 14 European countries.
    Eurosurveillance editorial team
    Euro Surveill; 2009 Oct; 14(40):. PubMed ID: 19822118
    [No Abstract]   [Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 9.