This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Dental Sciences (119) Infectious Diseases (non-STD/STI) (1575) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19981, first published .
Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo

Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo

Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo

Authors of this article:

Zhuo-Ying Tao1, 2 Author Orcid Image ;   Guang Chu2 Author Orcid Image ;   Colman McGrath3 Author Orcid Image ;   Fang Hua4 Author Orcid Image ;   Yiu Yan Leung1 Author Orcid Image ;   Wei-Fa Yang1 Author Orcid Image ;   Yu-Xiong Su1 Author Orcid Image
Article Authors Cited by (36) Tweetations (4) Metrics

Journals

  1. Niu Z, Wang T, Hu P, Mei J, Tang Z. Chinese Public’s Engagement in Preventive and Intervening Health Behaviors During the Early Breakout of COVID-19: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(8):e19995 View
  2. Gaffar B, Alhumaid J, Alhareky M, Alonaizan F, Almas K. <p>Dental Facilities During the New Corona Outbreak: A SWOT Analysis</p>. Risk Management and Healthcare Policy 2020;Volume 13:1343 View
  3. Chandrasekaran R, Mehta V, Valkunde T, Moustakas E. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study. Journal of Medical Internet Research 2020;22(10):e22624 View
  4. Shen T, Chen A, Bovonratwet P, Shen C, Su E. COVID-19–Related Internet Search Patterns Among People in the United States: Exploratory Analysis. Journal of Medical Internet Research 2020;22(11):e22407 View
  5. Chen S, Zhou L, Song Y, Xu Q, Wang P, Wang K, Ge Y, Janies D. A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis. Journal of Medical Internet Research 2021;23(1):e24889 View
  6. Joda T, Yeung A, Hung K, Zitzmann N, Bornstein M. Disruptive Innovation in Dentistry: What It Is and What Could Be Next. Journal of Dental Research 2021;100(5):448 View
  7. Al-Khalifa K, AlSheikh R, Alsahafi Y, Alkhalifa A, Sadaf S, Muazen Y, Al-Moumen S, Yermal A. Dental care during the COVID-19 Pandemic: An Arabic tweets analysis (Preprint). JMIR Public Health and Surveillance 2020 View
  8. Guo F, Tang B, Qin D, Zhao T, Su Y, McGrath C, Hua F, He H. The Impact of the COVID-19 Epidemic on Orthodontic Patients in China: An Analysis of Posts on Weibo. Frontiers in Medicine 2020;7 View
  9. Lyu J, Luli G. Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study. Journal of Medical Internet Research 2021;23(2):e25108 View
  10. Feng S, Kirkley A. Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis. Scientific Reports 2021;11(1) View
  11. Cuomo R, Purushothaman V, Li J, Cai M, Mackey T. A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health 2021;21(1) View
  12. Pu J, McGrath C, Leung Y, Choi W, Yang W, Li K, Su Y. The Impact of Coronavirus Disease 2019 on the Disease Pattern of Oral and Maxillofacial Surgery Inpatients: A Comparative Study. Frontiers in Medicine 2021;8 View
  13. Yadav O. Methodological Clarifications and Generalizing From Weibo Data. Comment on “Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo”. Journal of Medical Internet Research 2021;23(5):e26255 View
  14. Tao Z, Su Y. Authors’ Reply to: Methodological Clarifications and Generalizing From Weibo Data. Comment on “Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo”. Journal of Medical Internet Research 2021;23(5):e29145 View
  15. Al-Khalifa K, AlSheikh R, Alsahafi Y, Alkhalifa A, Sadaf S, Al-Moumen S, Muazen Y, Shetty A. Dental Care in the Arab Countries During the COVID-19 Pandemic: An Infodemiological Study. Risk Management and Healthcare Policy 2021;Volume 14:2153 View
  16. Javaid M, Haleem A, Singh R, Suman R. Dentistry 4.0 technologies applications for dentistry during COVID-19 pandemic. Sustainable Operations and Computers 2021;2:87 View
  17. Arpaci I, Alshehabi S, Mahariq I, Topcu A. An Evolutionary Clustering Analysis of Social Media Content and Global Infection Rates During the COVID-19 Pandemic. Journal of Information & Knowledge Management 2021;20(03):2150038 View
  18. Haleem A, Javaid M, Singh R, Suman R. Quality 4.0 technologies to enhance traditional Chinese medicine for overcoming healthcare challenges during COVID-19. Digital Chinese Medicine 2021;4(2):71 View
  19. Li C, Liu X, Li N, Yang F, Zheng M, Li Y, Zhang J. Impact of Coronavirus disease 2019 on patients with toothache. Medicine 2021;100(32):e26713 View
  20. Md Nordin S, Ahmad Rizal A, Zolkepli I. Innovation Diffusion: The Influence of Social Media Affordances on Complexity Reduction for Decision Making. Frontiers in Psychology 2021;12 View
  21. Liu Y, Zhang S, Wu X, Li Q, Wang Y, Huang Y, Zhang F, Cui B, Lu X. Instant messaging client gives the opportunity to recognize gut microbiota and dysbiosis-related disease: An investigation study on WeChat APP. DIGITAL HEALTH 2022;8:205520762211150 View
  22. Altan H, Coşgun A. Analysis of tweets on toothache during the COVID-19 pandemic using the CrystalFeel algorithm: a cross-sectional study. BMC Oral Health 2021;21(1) View
  23. Chowdhry A, Kapoor P. Twitter for microblogging in oral health care, research, and academics. Journal of Oral and Maxillofacial Pathology 2021;25(3):511 View
  24. Al-Khalifa K, Bakhurji E, Halawany H, Alabdurubalnabi E, Nasser W, Shetty A, Sadaf S. Pattern of dental needs and advice on Twitter during the COVID-19 pandemic in Saudi Arabia. BMC Oral Health 2021;21(1) View
  25. Selerio E, Caladcad J, Catamco M, Capinpin E, Ocampo L. Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process. Socio-Economic Planning Sciences 2022;82:101217 View
  26. Gupta R, Mohanty V, Balappanavar A, Chahar P, Rijhwani K, Bhatia S. Infodemiology for oral health and disease: A scoping review. Health Information & Libraries Journal 2022;39(3):207 View
  27. Warisse Turner J, Wang F, Robinson J. Stories or Directives: A Cross Cultural Comparison of Governmental Messages to Their Constituents during COVID-19. Health Communication 2023;38(6):1224 View
  28. Yashpal S, Raghunath A, Gencerliler N, Burns L. Exploring Public Perceptions of Dental Care Affordability in the United States: Mixed Method Analysis via Twitter. JMIR Formative Research 2022;6(7):e36315 View
  29. Constance D, Subbiah R, Madan Kumar P, Sukumaran A. Content related to oral health informatics and promotion: A systematic review. Journal of Oral Research and Review 2024;16(1):61 View
  30. Wang X, Tian M, Zheng L, Qiao L, Liu Y, Yuan B. Characterization and prevention of flame burns caused by electric bicycle battery chargers: results from a 7-year experience. Journal of International Medical Research 2024;52(4) View
  31. Chisnall G, Kumpunen S, Manby L, van Susante H, Stevens E, Rankl F, Robinson H, Hoernke K, Johnson G, Vindrola-Padros C. A Systematic Review of Tools and Recommendations Advising on the Use of Qualitative Data to Inform Epidemic Response Efforts in Low- and Middle-Income Settings. Sage Open 2024;14(3) View
  32. Liu Z, Wu J, Wu C, Xia X. Shifting sentiments: analyzing public reaction to COVID-19 containment policies in Wuhan and Shanghai through Weibo data. Humanities and Social Sciences Communications 2024;11(1) View
  33. Chandrasekaran R, Sadiq T M, Moustakas E. Racial and Demographic Disparities in Susceptibility to Health Misinformation on Social Media: National Survey-Based Analysis. Journal of Medical Internet Research 2024;26:e55086 View
  34. Damasceno de Souza A, Farinelli F, Louize Emygdio J, Ribeiro Felipe E, Barcellos Almeida M, Sergio de Aguiar Filho A. Information Needs and Uses for the Medical Front Line in the COVID-19 Pandemic. Journal of Hospital Librarianship 2024;24(4):359 View
  35. Khoiriyah R, Handayani S, Herman R. Information Communication and Education Strategy of Muhammadiyah Covid-19 DKI Jakarta Province Toward Behavioral Change. Jurnal PROMKES 2022;10(1):73 View

Books/Policy Documents

  1. Debnath S. Redefining Virtual Teaching Learning Pedagogy. View