BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

234 related articles for article (PubMed ID: 22230244)

  • 1. Google Flu Trends: correlation with emergency department influenza rates and crowding metrics.
    Dugas AF; Hsieh YH; Levin SR; Pines JM; Mareiniss DP; Mohareb A; Gaydos CA; Perl TM; Rothman RE
    Clin Infect Dis; 2012 Feb; 54(4):463-9. PubMed ID: 22230244
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 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. "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]  

  • 6. 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]  

  • 7. 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]  

  • 8. [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]  

  • 9. Evaluating Google Flu Trends in Latin America: Important Lessons for the Next Phase of Digital Disease Detection.
    Pollett S; Boscardin WJ; Azziz-Baumgartner E; Tinoco YO; Soto G; Romero C; Kok J; Biggerstaff M; Viboud C; Rutherford GW
    Clin Infect Dis; 2017 Jan; 64(1):34-41. PubMed ID: 27678084
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Reappraising the utility of Google Flu Trends.
    Kandula S; Shaman J
    PLoS Comput Biol; 2019 Aug; 15(8):e1007258. PubMed ID: 31374088
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives.
    Nagar R; Yuan Q; Freifeld CC; Santillana M; Nojima A; Chunara R; Brownstein JS
    J Med Internet Res; 2014 Oct; 16(10):e236. PubMed ID: 25331122
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. What can digital disease detection learn from (an external revision to) Google Flu Trends?
    Santillana M; Zhang DW; Althouse BM; Ayers JW
    Am J Prev Med; 2014 Sep; 47(3):341-7. PubMed ID: 24997572
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.