BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

209 related articles for article (PubMed ID: 35788308)

  • 1. Online information and support seeking during COVID-19 lockdown in Wuhan: implications for health promotion.
    Zhao X; Basnyat I
    Health Promot Int; 2022 Jun; 37(3):. PubMed ID: 35788308
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Online Health Information Seeking Using "#COVID-19 Patient Seeking Help" on Weibo in Wuhan, China: Descriptive Study.
    Zhao X; Fan J; Basnyat I; Hu B
    J Med Internet Res; 2020 Oct; 22(10):e22910. PubMed ID: 33001838
    [TBL] [Abstract][Full Text] [Related]  

  • 3. "Help Us!": a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown.
    Guo Y; Hou Y; Xiang H; Chen L
    BMC Public Health; 2023 Apr; 23(1):710. PubMed ID: 37076879
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts.
    Huang C; Xu X; Cai Y; Ge Q; Zeng G; Li X; Zhang W; Ji C; Yang L
    J Med Internet Res; 2020 May; 22(5):e19087. PubMed ID: 32401210
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Analysis of social media data for public emotion on the Wuhan lockdown event during the COVID-19 pandemic.
    Cao G; Shen L; Evans R; Zhang Z; Bi Q; Huang W; Yao R; Zhang W
    Comput Methods Programs Biomed; 2021 Nov; 212():106468. PubMed ID: 34715513
    [TBL] [Abstract][Full Text] [Related]  

  • 7. What We Ask about When We Ask about Quarantine? Content and Sentiment Analysis on Online Help-Seeking Posts during COVID-19 on a Q&A Platform in China.
    Li L; Hua L; Gao F
    Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36613100
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data.
    Chen X; Yik M
    JMIR Form Res; 2022 Nov; 6(11):e37698. PubMed ID: 36166650
    [TBL] [Abstract][Full Text] [Related]  

  • 9. "They have more than enough to do than patch up people like me." Experiences of seeking support for self-harm in lockdown during the COVID-19 pandemic.
    Sass C; Farley K; Brennan C
    J Psychiatr Ment Health Nurs; 2022 Aug; 29(4):544-554. PubMed ID: 35403770
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Online Health Information Seeking Behaviors Among Older Adults: Systematic Scoping Review.
    Zhao YC; Zhao M; Song S
    J Med Internet Res; 2022 Feb; 24(2):e34790. PubMed ID: 35171099
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Parental help-seeking behaviour for, and care of, a sick or injured child during the COVID-19 pandemic: a European online survey.
    Tan CD; Bressan S; Carter R; Hylén M; Kristensson I; Lakhanpaul M; Mintegi S; Moll HA; Neill S
    BMC Health Serv Res; 2023 Apr; 23(1):397. PubMed ID: 37095499
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Twitter Comments to Understand People's Experiences of UK Health Care During the COVID-19 Pandemic: Thematic and Sentiment Analysis.
    Ainley E; Witwicki C; Tallett A; Graham C
    J Med Internet Res; 2021 Oct; 23(10):e31101. PubMed ID: 34469327
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis.
    Wang Y; Wu P; Liu X; Li S; Zhu T; Zhao N
    J Med Internet Res; 2020 Dec; 22(12):e24775. PubMed ID: 33290247
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Associations Between the Perceived Severity of the COVID-19 Pandemic, Cyberchondria, Depression, Anxiety, Stress, and Lockdown Experience: Cross-sectional Survey Study.
    Han L; Zhan Y; Li W; Xu Y; Xu Y; Zhao J
    JMIR Public Health Surveill; 2021 Sep; 7(9):e31052. PubMed ID: 34478402
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data.
    Liao Q; Yuan J; Dong M; Yang L; Fielding R; Lam WWT
    J Med Internet Res; 2020 May; 22(5):e18796. PubMed ID: 32412414
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Greenspace exposure is conducive to the resilience of public sentiment during the COVID-19 pandemic.
    Song L; Zhang A; Hu Z
    Health Place; 2023 Sep; 83():103096. PubMed ID: 37586174
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Online Health Information Seeking Among Patients With Chronic Conditions: Integrating the Health Belief Model and Social Support Theory.
    Zhao YC; Zhao M; Song S
    J Med Internet Res; 2022 Nov; 24(11):e42447. PubMed ID: 36322124
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Caring for a sick or injured child during the COVID-19 pandemic lockdown in 2020 in the UK: An online survey of parents' experiences.
    Neill S; Carter R; Jones R; Roland D; Bayes N; Tavaré A; Hughes J; Turner T; Chynoweth J; Tan C; Moll H; Lakhanpaul M
    Health Expect; 2021 Dec; 24(6):2036-2046. PubMed ID: 34407286
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.