BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

207 related articles for article (PubMed ID: 24587465)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 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. 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]  

  • 8. Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level.
    Marques-Toledo CA; Degener CM; Vinhal L; Coelho G; Meira W; Codeço CT; Teixeira MM
    PLoS Negl Trop Dis; 2017 Jul; 11(7):e0005729. PubMed ID: 28719659
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data.
    Rangarajan P; Mody SK; Marathe M
    PLoS Comput Biol; 2019 Nov; 15(11):e1007518. PubMed ID: 31751346
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of dengue incidence using search query surveillance.
    Althouse BM; Ng YY; Cummings DA
    PLoS Negl Trop Dis; 2011 Aug; 5(8):e1258. PubMed ID: 21829744
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiyear climate variability and dengue--El Niño southern oscillation, weather, and dengue incidence in Puerto Rico, Mexico, and Thailand: a longitudinal data analysis.
    Johansson MA; Cummings DA; Glass GE
    PLoS Med; 2009 Nov; 6(11):e1000168. PubMed ID: 19918363
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study.
    Rajan A; Sharaf R; Brown RS; Sharaiha RZ; Lebwohl B; Mahadev S
    JMIR Public Health Surveill; 2020 Jul; 6(3):e19354. PubMed ID: 32640418
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Climate-based descriptive models of dengue fever: the 2002 epidemic in Colima, Mexico.
    Chowell G; Sanchez F
    J Environ Health; 2006 Jun; 68(10):40-4, 55. PubMed ID: 16780000
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Demographic and climatic factors associated with dengue prevalence in a hyperendemic zone in Mexico: an empirical approach.
    Espinoza-Gomez F; Newton-Sanchez OA; Nava-Zavala AH; Zavala-Cerna MG; Rojas-Larios F; Delgado-Enciso I; Martinez-Rizo AB; Lozano-Kasten F
    Trans R Soc Trop Med Hyg; 2021 Jan; 115(1):63-73. PubMed ID: 32911533
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Climate services for health: predicting the evolution of the 2016 dengue season in Machala, Ecuador.
    Lowe R; Stewart-Ibarra AM; Petrova D; García-Díez M; Borbor-Cordova MJ; Mejía R; Regato M; Rodó X
    Lancet Planet Health; 2017 Jul; 1(4):e142-e151. PubMed ID: 29851600
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Influence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico.
    Watts MJ; Kotsila P; Mortyn PG; Sarto I Monteys V; Urzi Brancati C
    Int J Health Geogr; 2020 Nov; 19(1):44. PubMed ID: 33138827
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.