Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19276, first published .
Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

Journals

  1. Brown S, Rhee J, Guha A, Rao V. Innovation in Precision Cardio-Oncology During the Coronavirus Pandemic and Into a Post-pandemic World. Frontiers in Cardiovascular Medicine 2020;7 View
  2. 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
  3. Madanian S, Norris T, Parry D. Disaster eHealth: Scoping Review. Journal of Medical Internet Research 2020;22(10):e18310 View
  4. 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
  5. Dalili Shoaei M, Dastani M. The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review. Acta Informatica Pragensia 2020;9(2):154 View
  6. Fontanini R, Visintini E, Rossettini G, Caruzzo D, Longhini J, Palese A. Italian Nurses’ experiences during the COVID‐19 pandemic: a qualitative analysis of internet posts. International Nursing Review 2021;68(2):238 View
  7. 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
  8. Slavik C, Buttle C, Sturrock S, Darlington J, Yiannakoulias N. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis. Journal of Medical Internet Research 2021;23(3):e24883 View
  9. Syeda H, Syed M, Sexton K, Syed S, Begum S, Syed F, Prior F, Yu Jr F. Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review. JMIR Medical Informatics 2021;9(1):e23811 View
  10. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  11. McKay K, Wayland S, Ferguson D, Petty J, Kennedy E. “At Least until the Second Wave Comes…”: A Twitter Analysis of the NHS and COVID-19 between March and June 2020. International Journal of Environmental Research and Public Health 2021;18(8):3943 View
  12. Jang H, Rempel E, Roth D, Carenini G, Janjua N. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis. Journal of Medical Internet Research 2021;23(2):e25431 View
  13. Al-Ramahi M, Elnoshokaty A, El-Gayar O, Nasralah T, Wahbeh A. Public Discourse Against Masks in the COVID-19 Era: Infodemiology Study of Twitter Data. JMIR Public Health and Surveillance 2021;7(4):e26780 View
  14. Rush K, Burton L, Smith M, Singh S, Schaab K, Görges M, Janke R, Currie L. News Article Portrayal of Virtual Care for Health Care Delivery in the First 7 Months of the COVID-19 Pandemic. Telemedicine Reports 2021;2(1):108 View
  15. Safdari R, Rezayi S, Saeedi S, Tanhapour M, Gholamzadeh M. Using data mining techniques to fight and control epidemics: A scoping review. Health and Technology 2021;11(4):759 View
  16. Engel-Rebitzer E, Stokes D, Buttenheim A, Purtle J, Meisel Z. Changes in legislator vaccine-engagement on Twitter before and after the arrival of the COVID-19 pandemic. Human Vaccines & Immunotherapeutics 2021:1 View
  17. Jiang Y, Huang X, Li Z. Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City. ISPRS International Journal of Geo-Information 2021;10(5):344 View
  18. Gabarron E, Oyeyemi S, Wynn R. COVID-19-related misinformation on social media: a systematic review. Bulletin of the World Health Organization 2021;99(6):455 View
  19. Herrera-Peco I, Jiménez-Gómez B, Peña Deudero J, Benitez De Gracia E, Ruiz-Núñez C. Healthcare Professionals’ Role in Social Media Public Health Campaigns: Analysis of Spanish Pro Vaccination Campaign on Twitter. Healthcare 2021;9(6):662 View
  20. Dogan O, Tiwari S, Jabbar M, Guggari S. A systematic review on AI/ML approaches against COVID-19 outbreak. Complex & Intelligent Systems 2021 View
  21. Wu J, Sivaraman V, Kumar D, Banda J, Sontag D. Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media. Journal of Biomedical Informatics 2021;120:103844 View
  22. Chen Q, Leaman R, Allot A, Luo L, Wei C, Yan S, Lu Z. Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing. Annual Review of Biomedical Data Science 2021;4(1):313 View