BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

184 related articles for article (PubMed ID: 34988056)

  • 1. Internet Rumors During the COVID-19 Pandemic: Dynamics of Topics and Public Psychologies.
    Xiao Q; Huang W; Zhang X; Wan S; Li X
    Front Public Health; 2021; 9():788848. PubMed ID: 34988056
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Online rumors during the COVID-19 pandemic: co-evolution of themes and emotions.
    Shen C; Song Z; He P; Liu L; Xiong Z
    Front Public Health; 2024; 12():1375731. PubMed ID: 38919926
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Hot Topic Recognition of Health Rumors Based on Anti-Rumor Articles on the WeChat Official Account Platform: Topic Modeling.
    Li Z; Wu X; Xu L; Liu M; Huang C
    J Med Internet Res; 2023 Sep; 25():e45019. PubMed ID: 37733396
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Difference in Rumor Dissemination and Debunking Before and After the Relaxation of COVID-19 Prevention and Control Measures in China: Infodemiology Study.
    Liu X; Hu Q; Wang J; Wu X; Hu D
    J Med Internet Res; 2024 May; 26():e48564. PubMed ID: 38748460
    [TBL] [Abstract][Full Text] [Related]  

  • 5. COVID-19-Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study.
    Ning P; Cheng P; Li J; Zheng M; Schwebel DC; Yang Y; Lu P; Mengdi L; Zhang Z; Hu G
    J Med Internet Res; 2021 Dec; 23(12):e27339. PubMed ID: 34806992
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dissemination and Refutation of Rumors During the COVID-19 Outbreak in China: Infodemiology Study.
    Chen B; Chen X; Pan J; Liu K; Xie B; Wang W; Peng Y; Wang F; Li N; Jiang J
    J Med Internet Res; 2021 Feb; 23(2):e22427. PubMed ID: 33493124
    [TBL] [Abstract][Full Text] [Related]  

  • 7. New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China.
    Lv W; Zhou W; Gao B; Han Y; Fang H
    Front Public Health; 2022; 10():864955. PubMed ID: 35832275
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Changes in Language Style and Topics in an Online Eating Disorder Community at the Beginning of the COVID-19 Pandemic: Observational Study.
    Feldhege J; Moessner M; Wolf M; Bauer S
    J Med Internet Res; 2021 Jul; 23(7):e28346. PubMed ID: 34101612
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sentiment Analysis of Rumor Spread Amid COVID-19: Based on Weibo Text.
    Wang P; Shi H; Wu X; Jiao L
    Healthcare (Basel); 2021 Sep; 9(10):. PubMed ID: 34682955
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluating Rumor Debunking Effectiveness During the COVID-19 Pandemic Crisis: Utilizing User Stance in Comments on Sina Weibo.
    Wang X; Chao F; Yu G
    Front Public Health; 2021; 9():770111. PubMed ID: 34926388
    [No Abstract]   [Full Text] [Related]  

  • 11. Survival analysis of the duration of rumors during the COVID-19 pandemic.
    Liu X; Zhang L; Sun L; Liu R
    BMC Public Health; 2024 Feb; 24(1):519. PubMed ID: 38373928
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study.
    Dong W; Tao J; Xia X; Ye L; Xu H; Jiang P; Liu Y
    J Med Internet Res; 2020 Nov; 22(11):e21933. PubMed ID: 33112757
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Public sphere attitudes towards the rumor sources of the COVID-19 pandemic: evidence from community perceptions in Iran.
    Banakar M; Sadati AK; Zarei L; Shahabi S; Heydari ST; Lankarani KB
    BMC Public Health; 2021 Nov; 21(1):2187. PubMed ID: 34844583
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Exploring COVID-19-Related Stressors: Topic Modeling Study.
    Leung YT; Khalvati F
    J Med Internet Res; 2022 Jul; 24(7):e37142. PubMed ID: 35731966
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach.
    Shah AM; Yan X; Qayyum A; Naqvi RA; Shah SJ
    Int J Med Inform; 2021 May; 149():104434. PubMed ID: 33667929
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study.
    Akpan IJ; Aguolu OG; Kobara YM; Razavi R; Akpan AA; Shanker M
    J Med Internet Res; 2021 Sep; 23(9):e28975. PubMed ID: 34280117
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts.
    Hong Y; Xie F; An X; Lan X; Liu C; Yan L; Zhang H
    J Med Internet Res; 2023 Feb; 25():e42671. PubMed ID: 36795467
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.