These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 38442085)

  • 1. Emotions on Twitter as crisis imprint in high-trust societies: Do ambient affiliations affect emotional expression during the pandemic?
    Charquero-Ballester M; Walter JG; Rybner AS; Nissen IA; Enevoldsen KC; Bechmann A
    PLoS One; 2024; 19(3):e0296801. PubMed ID: 38442085
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Public perceptions on Twitter of nurses during the COVID-19 pandemic.
    Tokac U; Brysiewicz P; Chipps J
    Contemp Nurse; 2022; 58(5-6):414-423. PubMed ID: 36370034
    [TBL] [Abstract][Full Text] [Related]  

  • 3. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media.
    Lorenzoni V; Andreozzi G; Bazzani A; Casigliani V; Pirri S; Tavoschi L; Turchetti G
    Int J Environ Res Public Health; 2022 Jun; 19(13):. PubMed ID: 35805444
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter Users.
    Ueda R; Han F; Zhang H; Aoki T; Ogasawara K
    JMIR Infodemiology; 2024 Feb; 4():e37881. PubMed ID: 38127840
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis.
    Drescher LS; Roosen J; Aue K; Dressel K; Schär W; Götz A
    JMIR Public Health Surveill; 2021 Dec; 7(12):e31834. PubMed ID: 34710054
    [TBL] [Abstract][Full Text] [Related]  

  • 7. COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets.
    Qorib M; Oladunni T; Denis M; Ososanya E; Cotae P
    Int J Environ Res Public Health; 2023 May; 20(10):. PubMed ID: 37239532
    [TBL] [Abstract][Full Text] [Related]  

  • 8. How Health Care Workers Wield Influence Through Twitter Hashtags: Retrospective Cross-sectional Study of the Gun Violence and COVID-19 Public Health Crises.
    Ojo A; Guntuku SC; Zheng M; Beidas RS; Ranney ML
    JMIR Public Health Surveill; 2021 Jan; 7(1):e24562. PubMed ID: 33315578
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Public Health Surveillance of Behavioral Cancer Risk Factors During the COVID-19 Pandemic: Sentiment and Emotion Analysis of Twitter Data.
    Christodoulakis N; Abdelkader W; Lokker C; Cotterchio M; Griffith LE; Vanderloo LM; Anderson LN
    JMIR Form Res; 2023 Nov; 7():e46874. PubMed ID: 37917123
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain.
    Iglesias-Sánchez PP; Vaccaro Witt GF; Cabrera FE; Jambrino-Maldonado C
    Int J Environ Res Public Health; 2020 Aug; 17(16):. PubMed ID: 32824110
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data.
    Ng JY; Abdelkader W; Lokker C
    BMC Complement Med Ther; 2022 Apr; 22(1):105. PubMed ID: 35418205
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.
    Ricard BJ; Hassanpour S
    J Med Internet Res; 2021 Sep; 23(9):e27314. PubMed ID: 34524095
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective.
    Garcia-Rudolph A; Laxe S; Saurí J; Bernabeu Guitart M
    J Med Internet Res; 2019 Aug; 21(8):e14077. PubMed ID: 31452514
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.
    Xue J; Chen J; Hu R; Chen C; Zheng C; Su Y; Zhu T
    J Med Internet Res; 2020 Nov; 22(11):e20550. PubMed ID: 33119535
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analyzing COVID-19 disinformation on Twitter using the hashtags #scamdemic and #plandemic: Retrospective study.
    Lanier HD; Diaz MI; Saleh SN; Lehmann CU; Medford RJ
    PLoS One; 2022; 17(6):e0268409. PubMed ID: 35731785
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adverse Mentions, Negative Sentiment, and Emotions in COVID-19 Vaccine Tweets and Their Association with Vaccination Uptake: Global Comparison of 192 Countries.
    Jun J; Zain A; Chen Y; Kim SH
    Vaccines (Basel); 2022 May; 10(5):. PubMed ID: 35632491
    [No Abstract]   [Full Text] [Related]  

  • 18. Initial Stage of the COVID-19 Pandemic: A Perspective on Health Risk Communications in the Restaurant Industry.
    Wang X; Tang L; Zhang L; Zheng J
    Int J Environ Res Public Health; 2022 Sep; 19(19):. PubMed ID: 36231263
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis.
    Alhuzali H; Zhang T; Ananiadou S
    J Med Internet Res; 2022 Oct; 24(10):e40323. PubMed ID: 36150046
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends.
    Lwin MO; Lu J; Sheldenkar A; Schulz PJ; Shin W; Gupta R; Yang Y
    JMIR Public Health Surveill; 2020 May; 6(2):e19447. PubMed ID: 32412418
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.