BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

370 related articles for article (PubMed ID: 35632491)

  • 41. 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]  

  • 42. Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data.
    Cheng T; Han B; Liu Y
    Front Public Health; 2023; 11():1193750. PubMed ID: 37663835
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019.
    Piedrahita-Valdés H; Piedrahita-Castillo D; Bermejo-Higuera J; Guillem-Saiz P; Bermejo-Higuera JR; Guillem-Saiz J; Sicilia-Montalvo JA; Machío-Regidor F
    Vaccines (Basel); 2021 Jan; 9(1):. PubMed ID: 33430428
    [TBL] [Abstract][Full Text] [Related]  

  • 44. COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK.
    Lanyi K; Green R; Craig D; Marshall C
    Front Digit Health; 2021; 3():804855. PubMed ID: 35141699
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis.
    Liu S; Liu J
    Vaccine; 2021 Sep; 39(39):5499-5505. PubMed ID: 34452774
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets.
    Zaidi Z; Ye M; Samon F; Jama A; Gopalakrishnan B; Gu C; Karunasekera S; Evans J; Kashima Y
    J Med Internet Res; 2023 Aug; 25():e45069. PubMed ID: 37552535
    [TBL] [Abstract][Full Text] [Related]  

  • 47. The effect of framing and communicating COVID-19 vaccine side-effect risks on vaccine intentions for adults in the UK and the USA: A structured summary of a study protocol for a randomized controlled trial.
    Sudharsanan N; Favaretti C; Hachaturyan V; Bärnighausen T; Vandormael A
    Trials; 2021 Sep; 22(1):592. PubMed ID: 34488843
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.
    Hung M; Lauren E; Hon ES; Birmingham WC; Xu J; Su S; Hon SD; Park J; Dang P; Lipsky MS
    J Med Internet Res; 2020 Aug; 22(8):e22590. PubMed ID: 32750001
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Analysis of vaccine messages on social media (Twitter) in Scandinavia.
    Fues Wahl H; Wikman Erlandson B; Sahlin C; Nyaku M; Benĉina G
    Hum Vaccin Immunother; 2022 Dec; 18(1):2026711. PubMed ID: 35103579
    [TBL] [Abstract][Full Text] [Related]  

  • 50. "Vaccines for pregnant women…?! Absurd" - Mapping maternal vaccination discourse and stance on social media over six months.
    Martin S; Kilich E; Dada S; Kummervold PE; Denny C; Paterson P; Larson HJ
    Vaccine; 2020 Sep; 38(42):6627-6637. PubMed ID: 32788136
    [TBL] [Abstract][Full Text] [Related]  

  • 51. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies.
    Muric G; Wu Y; Ferrara E
    JMIR Public Health Surveill; 2021 Nov; 7(11):e30642. PubMed ID: 34653016
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Volatility of the COVID-19 vaccine hesitancy: sentiment analysis conducted in Brazil.
    Machado Júnior C; Mantovani DMN; de Sandes-Guimarães LV; Romeiro MDC; Furlaneto CJ; Bazanini R
    Front Public Health; 2023; 11():1192155. PubMed ID: 37483947
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study.
    Chopra H; Vashishtha A; Pal R; ; Tyagi A; Sethi T
    JMIR Infodemiology; 2023; 3():e34315. PubMed ID: 37192952
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Identifying Sentiment of Hookah-Related Posts on Twitter.
    Allem JP; Ramanujam J; Lerman K; Chu KH; Boley Cruz T; Unger JB
    JMIR Public Health Surveill; 2017 Oct; 3(4):e74. PubMed ID: 29046267
    [TBL] [Abstract][Full Text] [Related]  

  • 55. COVID-19 Vaccine Hesitancy, Acceptance, and Promotion Among Healthcare Workers: A Mixed-Methods Analysis.
    Hoffman BL; Boness CL; Chu KH; Wolynn R; Sallowicz L; Mintas D; Douaihy AB; Felter EM; Sidani JE
    J Community Health; 2022 Oct; 47(5):750-758. PubMed ID: 35676390
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Negative COVID-19 Vaccine Information on Twitter: Content Analysis.
    Yiannakoulias N; Darlington JC; Slavik CE; Benjamin G
    JMIR Infodemiology; 2022; 2(2):e38485. PubMed ID: 36348980
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Evolution of social mood in Spain throughout the COVID-19 vaccination process: a machine learning approach to tweets analysis.
    Turón A; Altuzarra A; Moreno-Jiménez JM; Navarro J
    Public Health; 2023 Feb; 215():83-90. PubMed ID: 36652786
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Diabetes on Twitter: A Sentiment Analysis.
    Gabarron E; Dorronzoro E; Rivera-Romero O; Wynn R
    J Diabetes Sci Technol; 2019 May; 13(3):439-444. PubMed ID: 30453762
    [TBL] [Abstract][Full Text] [Related]  

  • 59. The Resurgence of Cyber Racism During the COVID-19 Pandemic and its Aftereffects: Analysis of Sentiments and Emotions in Tweets.
    Dubey AD
    JMIR Public Health Surveill; 2020 Oct; 6(4):e19833. PubMed ID: 32936772
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence.
    Adikari A; Nawaratne R; De Silva D; Ranasinghe S; Alahakoon O; Alahakoon D
    J Med Internet Res; 2021 Apr; 23(4):e27341. PubMed ID: 33819167
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 19.