BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

143 related articles for article (PubMed ID: 28599813)

  • 1. Google dengue trends: An indicator of epidemic behavior. The Venezuelan Case.
    Strauss RA; Castro JS; Reintjes R; Torres JR
    Int J Med Inform; 2017 Aug; 104():26-30. PubMed ID: 28599813
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of Internet-based dengue query data: Google Dengue Trends.
    Gluskin RT; Johansson MA; Santillana M; Brownstein JS
    PLoS Negl Trop Dis; 2014 Feb; 8(2):e2713. PubMed ID: 24587465
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Investigating the utility of Google trends for Zika and Chikungunya surveillance in Venezuela.
    Strauss R; Lorenz E; Kristensen K; Eibach D; Torres J; May J; Castro J
    BMC Public Health; 2020 Jun; 20(1):947. PubMed ID: 32546159
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Can internet search queries be used for dengue fever surveillance in China?
    Guo P; Wang L; Zhang Y; Luo G; Zhang Y; Deng C; Zhang Q; Zhang Q
    Int J Infect Dis; 2017 Oct; 63():74-76. PubMed ID: 28797591
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Google Health Trends performance reflecting dengue incidence for the Brazilian states.
    Romero-Alvarez D; Parikh N; Osthus D; Martinez K; Generous N; Del Valle S; Manore CA
    BMC Infect Dis; 2020 Mar; 20(1):252. PubMed ID: 32228508
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Correlation between Google Trends on dengue fever and national surveillance report in Indonesia.
    Husnayain A; Fuad A; Lazuardi L
    Glob Health Action; 2019; 12(1):1552652. PubMed ID: 31154985
    [No Abstract]   [Full Text] [Related]  

  • 7. Using Google Trends to Examine the Spatio-Temporal Incidence and Behavioral Patterns of Dengue Disease: A Case Study in Metropolitan Manila, Philippines.
    Ho HT; Carvajal TM; Bautista JR; Capistrano JDR; Viacrusis KM; Hernandez LFT; Watanabe K
    Trop Med Infect Dis; 2018 Nov; 3(4):. PubMed ID: 30423898
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Monitoring epidemic alert levels by analyzing Internet search volume.
    Zhou X; Li Q; Zhu Z; Zhao H; Tang H; Feng Y
    IEEE Trans Biomed Eng; 2013 Feb; 60(2):446-52. PubMed ID: 23192470
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan.
    Chang YW; Chiang WL; Wang WH; Lin CY; Hung LC; Tsai YC; Suen JL; Chen YH
    BMJ Open; 2020 Jul; 10(7):e034156. PubMed ID: 32624467
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Google Trends correlation and sensitivity for outbreaks of dengue and yellow fever in the state of São Paulo.
    Monnaka VU; Oliveira CAC
    Einstein (Sao Paulo); 2021; 19():eAO5969. PubMed ID: 34346987
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
    Chan EH; Sahai V; Conrad C; Brownstein JS
    PLoS Negl Trop Dis; 2011 May; 5(5):e1206. PubMed ID: 21647308
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes.
    Alicino C; Bragazzi NL; Faccio V; Amicizia D; Panatto D; Gasparini R; Icardi G; Orsi A
    Infect Dis Poverty; 2015 Dec; 4():54. PubMed ID: 26654247
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Online platform for applying space-time scan statistics for prospectively detecting emerging hot spots of dengue fever.
    Chen CC; Teng YC; Lin BC; Fan IC; Chan TC
    Int J Health Geogr; 2016 Nov; 15(1):43. PubMed ID: 27884135
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparison of passive surveillance and active cluster-based surveillance for dengue fever in southern coastal Ecuador.
    Vitale M; Lupone CD; Kenneson-Adams A; Ochoa RJ; Ordoñez T; Beltran-Ayala E; Endy TP; Rosenbaum PF; Stewart-Ibarra AM
    BMC Public Health; 2020 Jul; 20(1):1065. PubMed ID: 32631315
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Internet-based surveillance systems for monitoring emerging infectious diseases.
    Milinovich GJ; Williams GM; Clements AC; Hu W
    Lancet Infect Dis; 2014 Feb; 14(2):160-8. PubMed ID: 24290841
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Utility and potential of rapid epidemic intelligence from internet-based sources.
    Yan SJ; Chughtai AA; Macintyre CR
    Int J Infect Dis; 2017 Oct; 63():77-87. PubMed ID: 28765076
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dengue Baidu Search Index data can improve the prediction of local dengue epidemic: A case study in Guangzhou, China.
    Li Z; Liu T; Zhu G; Lin H; Zhang Y; He J; Deng A; Peng Z; Xiao J; Rutherford S; Xie R; Zeng W; Li X; Ma W
    PLoS Negl Trop Dis; 2017 Mar; 11(3):e0005354. PubMed ID: 28263988
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Advances in using Internet searches to track dengue.
    Yang S; Kou SC; Lu F; Brownstein JS; Brooke N; Santillana M
    PLoS Comput Biol; 2017 Jul; 13(7):e1005607. PubMed ID: 28727821
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Early rigorous control interventions can largely reduce dengue outbreak magnitude: experience from Chaozhou, China.
    Liu T; Zhu G; He J; Song T; Zhang M; Lin H; Xiao J; Zeng W; Li X; Li Z; Xie R; Zhong H; Wu X; Hu W; Zhang Y; Ma W
    BMC Public Health; 2017 Aug; 18(1):90. PubMed ID: 28768542
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Digital epidemiology: assessment of measles infection through Google Trends mechanism in Italy.
    Santangelo OE; Provenzano S; Piazza D; Giordano D; Calamusa G; Firenze A
    Ann Ig; 2019; 31(4):385-391. PubMed ID: 31268123
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.