BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

240 related articles for article (PubMed ID: 33156803)

  • 1. COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study.
    Jimenez AJ; Estevez-Reboredo RM; Santed MA; Ramos V
    J Med Internet Res; 2020 Dec; 22(12):e23518. PubMed ID: 33156803
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study.
    Higgins TS; Wu AW; Sharma D; Illing EA; Rubel K; Ting JY;
    JMIR Public Health Surveill; 2020 May; 6(2):e19702. PubMed ID: 32401211
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data.
    Mangono T; Smittenaar P; Caplan Y; Huang VS; Sutermaster S; Kemp H; Sgaier SK
    J Med Internet Res; 2021 May; 23(5):e22933. PubMed ID: 33878015
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Influence of Media Coverage and Governmental Policies on Google Queries Related to COVID-19 Cutaneous Symptoms: Infodemiology Study.
    Huynh Dagher S; Lamé G; Hubiche T; Ezzedine K; Duong TA
    JMIR Public Health Surveill; 2021 Feb; 7(2):e25651. PubMed ID: 33513563
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Tracking COVID-19 in Europe: Infodemiology Approach.
    Mavragani A
    JMIR Public Health Surveill; 2020 Apr; 6(2):e18941. PubMed ID: 32250957
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Public Interest in Immunity and the Justification for Intervention in the Early Stages of the COVID-19 Pandemic: Analysis of Google Trends Data.
    Lee J; Kwan Y; Lee JY; Shin JI; Lee KH; Hong SH; Han YJ; Kronbichler A; Smith L; Koyanagi A; Jacob L; Choi S; Ghayda RA; Park MB
    J Med Internet Res; 2021 Jun; 23(6):e26368. PubMed ID: 34038375
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study.
    Husnayain A; Shim E; Fuad A; Su EC
    J Med Internet Res; 2020 Sep; 22(9):e19788. PubMed ID: 32931446
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Google Searches and Suicide Rates in Spain, 2004-2013: Correlation Study.
    Jimenez A; Santed-Germán MA; Ramos V
    JMIR Public Health Surveill; 2020 Apr; 6(2):e10919. PubMed ID: 32281540
    [TBL] [Abstract][Full Text] [Related]  

  • 10. United States Influenza Search Patterns Since the Emergence of COVID-19: Infodemiology Study.
    Cai O; Sousa-Pinto B
    JMIR Public Health Surveill; 2022 Mar; 8(3):e32364. PubMed ID: 34878996
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19.
    Chu AM; Chong ACY; Lai NHT; Tiwari A; So MKP
    JMIR Public Health Surveill; 2023 Sep; 9():e42446. PubMed ID: 37676701
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Increased Internet Searches for Insomnia as an Indicator of Global Mental Health During the COVID-19 Pandemic: Multinational Longitudinal Study.
    Lin YH; Chiang TW; Lin YL
    J Med Internet Res; 2020 Sep; 22(9):e22181. PubMed ID: 32924951
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Forecasting the COVID-19 Epidemic by Integrating Symptom Search Behavior Into Predictive Models: Infoveillance Study.
    Rabiolo A; Alladio E; Morales E; McNaught AI; Bandello F; Afifi AA; Marchese A
    J Med Internet Res; 2021 Aug; 23(8):e28876. PubMed ID: 34156966
    [TBL] [Abstract][Full Text] [Related]  

  • 14. COVID-19 predictability in the United States using Google Trends time series.
    Mavragani A; Gkillas K
    Sci Rep; 2020 Nov; 10(1):20693. PubMed ID: 33244028
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study.
    Niu Q; Liu J; Zhao Z; Onishi M; Kawaguchi A; Bandara A; Harada K; Aoyama T; Nagai-Tanima M
    BMC Infect Dis; 2022 Oct; 22(1):806. PubMed ID: 36309663
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Causality Inference of Public Interest in Restaurants and Bars on Daily COVID-19 Cases in the United States: Google Trends Analysis.
    Asgari Mehrabadi M; Dutt N; Rahmani AM
    JMIR Public Health Surveill; 2021 Apr; 7(4):e22880. PubMed ID: 33690143
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries.
    Ming WK; Huang F; Chen Q; Liang B; Jiao A; Liu T; Wu H; Akinwunmi B; Li J; Liu G; Zhang CJP; Huang J; Liu Q
    JMIR Public Health Surveill; 2021 Dec; 7(12):e26644. PubMed ID: 34591781
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends
    Effenberger M; Kronbichler A; Shin JI; Mayer G; Tilg H; Perco P
    Int J Infect Dis; 2020 Jun; 95():192-197. PubMed ID: 32305520
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns.
    Cousins HC; Cousins CC; Harris A; Pasquale LR
    J Med Internet Res; 2020 Jul; 22(7):e19483. PubMed ID: 32692691
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.
    Ayyoubzadeh SM; Ayyoubzadeh SM; Zahedi H; Ahmadi M; R Niakan Kalhori S
    JMIR Public Health Surveill; 2020 Apr; 6(2):e18828. PubMed ID: 32234709
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.