BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 33495534)

  • 1. Early warnings of COVID-19 outbreaks across Europe from social media.
    Lopreite M; Panzarasa P; Puliga M; Riccaboni M
    Sci Rep; 2021 Jan; 11(1):2147. PubMed ID: 33495534
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19-Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study.
    Pobiruchin M; Zowalla R; Wiesner M
    J Med Internet Res; 2020 Aug; 22(8):e19629. PubMed ID: 32790641
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data.
    Wang J; Zhou Y; Zhang W; Evans R; Zhu C
    J Med Internet Res; 2020 Nov; 22(11):e22152. PubMed ID: 33151894
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Social Media and Research Publication Activity During Early Stages of the COVID-19 Pandemic: Longitudinal Trend Analysis.
    Taneja SL; Passi M; Bhattacharya S; Schueler SA; Gurram S; Koh C
    J Med Internet Res; 2021 Jun; 23(6):e26956. PubMed ID: 33974550
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study.
    Alhassan FM; AlDossary SA
    JMIR Public Health Surveill; 2021 Jul; 7(7):e27942. PubMed ID: 34117860
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities.
    Sooknanan J; Mays N
    Bull Math Biol; 2021 Apr; 83(5):57. PubMed ID: 33835296
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment Analysis.
    Crocamo C; Viviani M; Famiglini L; Bartoli F; Pasi G; Carrà G
    Eur Psychiatry; 2021 Feb; 64(1):e17. PubMed ID: 33531097
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets.
    Portelli B; Scaboro S; Tonino R; Chersoni E; Santus E; Serra G
    J Med Internet Res; 2022 May; 24(5):e35115. PubMed ID: 35446781
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.
    Park HW; Park S; Chong M
    J Med Internet Res; 2020 May; 22(5):e18897. PubMed ID: 32325426
    [TBL] [Abstract][Full Text] [Related]  

  • 10. #Coronavirus: Monitoring the Belgian Twitter Discourse on the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic.
    Kurten S; Beullens K
    Cyberpsychol Behav Soc Netw; 2021 Feb; 24(2):117-122. PubMed ID: 32857607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study.
    Shen C; Chen A; Luo C; Zhang J; Feng B; Liao W
    J Med Internet Res; 2020 May; 22(5):e19421. PubMed ID: 32452804
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational Study.
    Margus C; Brown N; Hertelendy AJ; Safferman MR; Hart A; Ciottone GR
    J Med Internet Res; 2021 Jul; 23(7):e28615. PubMed ID: 34081612
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Digital technology and COVID-19.
    Ting DSW; Carin L; Dzau V; Wong TY
    Nat Med; 2020 Apr; 26(4):459-461. PubMed ID: 32284618
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The social life of COVID-19: Early insights from social media monitoring data collected in Poland.
    Burzyńska J; Bartosiewicz A; Rękas M
    Health Informatics J; 2020 Dec; 26(4):3056-3065. PubMed ID: 33050772
    [TBL] [Abstract][Full Text] [Related]  

  • 15. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data.
    Ahmed W; Vidal-Alaball J; Downing J; López Seguí F
    J Med Internet Res; 2020 May; 22(5):e19458. PubMed ID: 32352383
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2.
    Bisanzio D; Kraemer MUG; Brewer T; Brownstein JS; Reithinger R
    J Travel Med; 2020 Aug; 27(5):. PubMed ID: 32701135
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Did the COVID-19 pandemic change the willingness to pay for an early warning system for infectious diseases in Europe?
    Himmler S; van Exel J; Brouwer W
    Eur J Health Econ; 2022 Feb; 23(1):81-94. PubMed ID: 34286403
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecasting virus outbreaks with social media data via neural ordinary differential equations.
    Núñez M; Barreiro NL; Barrio RA; Rackauckas C
    Sci Rep; 2023 Jul; 13(1):10870. PubMed ID: 37407583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2.
    Huisman JS; Scire J; Angst DC; Li J; Neher RA; Maathuis MH; Bonhoeffer S; Stadler T
    Elife; 2022 Aug; 11():. PubMed ID: 35938911
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.
    Abd-Alrazaq A; Alhuwail D; Househ M; Hamdi M; Shah Z
    J Med Internet Res; 2020 Apr; 22(4):e19016. PubMed ID: 32287039
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.