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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

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

Authors of this article:

Abdullah Wahbeh1 Author Orcid Image ;   Tareq Nasralah2 Author Orcid Image ;   Mohammad Al-Ramahi3 Author Orcid Image ;   Omar El-Gayar4 Author Orcid Image
Article Authors Cited by (59) Tweetations (2) Metrics

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;17(9):2868 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;7(5):2655 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
  23. Elyashar A, Plochotnikov I, Cohen I, Puzis R, Cohen O. The State of Mind of Health Care Professionals in Light of the COVID-19 Pandemic: Text Analysis Study of Twitter Discourses. Journal of Medical Internet Research 2021;23(10):e30217 View
  24. Choi Y, Kim S. Public library Twitter use during the early period of the COVID-19 lockdown in the United States. The Electronic Library 2021;39(5):713 View
  25. Troisi O, Fenza G, Grimaldi M, Loia F. Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic. Computers in Human Behavior 2022;126:106986 View
  26. Abdel-Razig S, Anglade P, Ibrahim H. Impact of the COVID-19 Pandemic on a Physician Group’s WhatsApp Chat: Qualitative Content Analysis. JMIR Formative Research 2021;5(12):e31791 View
  27. DePaula N, Hagen L, Roytman S, Alnahass D. Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook. JMIR Infodemiology 2022;2(2):e40198 View
  28. Lin S, Yeh W, Chiu Y, Chang Y, Hsu M, Chen Y, Hsu W. A BERT-based ensemble learning approach for the BioCreative VII challenges: full-text chemical identification and multi-label classification in PubMed articles. Database 2022;2022 View
  29. Gunasekeran D, Chew A, Chandrasekar E, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong C. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680 View
  30. Xu W, Tshimula J, Dubé È, Graham J, Greyson D, MacDonald N, Meyer S. Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach. JMIR Infodemiology 2022;2(2):e41198 View
  31. Xavier T, Lambert J. Sentiment and emotion trends in nurses' tweets about the COVID‐19 pandemic. Journal of Nursing Scholarship 2022;54(5):613 View
  32. Septia Irawan A, Shahin B, Wangeshi Njuguna D, Nellamkuzhi N, Thiện B, Mahrouseh N, Varga O. Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter. Frontiers in Nutrition 2022;9 View
  33. Khalifé M, Chaker R, Gasparovic S. Environmental education and digital solutions: An analysis of the Lebanese context’s existing and possible digital actions. Frontiers in Education 2022;7 View
  34. Glasdam S, Sandberg H, Stjernswärd S, Jacobsen F, Grønning A, Hybholt L, Gesser-Edelsburg A. Nurses’ use of social media during the COVID-19 pandemic—A scoping review. PLOS ONE 2022;17(2):e0263502 View
  35. Zhou M, Mou H. Tracking public opinion about online education over COVID-19 in China. Educational technology research and development 2022;70(3):1083 View
  36. Cai M, Luo H, Meng X, Cui Y, Wang W. Influence of information attributes on information dissemination in public health emergencies. Humanities and Social Sciences Communications 2022;9(1) View
  37. Martindale J, Goldstein J, Xixis K, Lakhotia A, Rodman A, Strauss L, Strowd R, Bass N. Be in the Digital Room Where it Happens, Part I: Tweeting & Technology for Career Development. Child Neurology Open 2022;9 View
  38. Nasralah T, Elnoshokaty A, El-Gayar O, Al-Ramahi M, Wahbeh A. A comparative analysis of anti-vax discourse on twitter before and after COVID-19 onset. Health Informatics Journal 2022;28(4) View
  39. Golder S, Jefferson L, McHugh E, Essex H, Heathcote C, Castro Avila A, Dale V, Van Der Feltz‐Cornelis C, Bloor K. General practitioners' wellbeing during the COVID‐19 pandemic: Novel methods with social media data. Health Information & Libraries Journal 2023;40(4):400 View
  40. Boukobza A, Burgun A, Roudier B, Tsopra R. Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set. JMIR Medical Informatics 2022;10(5):e34306 View
  41. Ding Q, Massey D, Huang C, Grady C, Lu Y, Cohen A, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Dreyer R, Roy B, Krumholz H. Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study. JMIR Public Health and Surveillance 2021;7(9):e29413 View
  42. Luo H, Meng X, Zhao Y, Cai M. Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China. Computers in Human Behavior 2023;144:107733 View
  43. Sukhavasi N, Misra J, Kaulgud V, Podder S. Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19. Journal of Computational Social Science 2023;6(2):411 View
  44. White B, Melton C, Zareie P, Davis R, Bednarczyk R, Shaban-Nejad A. Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. BMJ Health & Care Informatics 2023;30(1):e100665 View
  45. Pranić S, Vasanthan L, Thompson J, Mishra V, Kumar P, Ananda R, Malih N, Chan K, Anjorin A. Protocol of a scoping review of systematic reviews and meta-analyses about COVID-19 vaccines and associated adverse events from vaccination. PLOS ONE 2023;18(5):e0285442 View
  46. Bauder L, Giangobbe K, Asgary R. Barriers and Gaps in Effective Health Communication at Both Public Health and Healthcare Delivery Levels During Epidemics and Pandemics; Systematic Review. Disaster Medicine and Public Health Preparedness 2023;17 View
  47. Ye L, Ye Y, Gao H. Effectiveness of social video platforms in promoting smoking cessation among youth: A content-specific analysis of smoking cessation topic videos on the social platform Bilibili. Tobacco Induced Diseases 2023;21(August):1 View
  48. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  49. Goidel K, Callaghan T, Washburn D, Nuzhath T, Scobee J, Spiegelman A, Motta M. Physician Trust in the News Media and Attitudes toward COVID-19. Journal of Health Politics, Policy and Law 2023;48(3):317 View
  50. Luo H, Meng X, Zhao Y, Cai M. Rise of social bots: The impact of social bots on public opinion dynamics in public health emergencies from an information ecology perspective. Telematics and Informatics 2023;85:102051 View
  51. Déom N, Vanderslott S, Kingori P, Martin S. Online on the frontline: A longitudinal social media analysis of UK healthcare workers’ attitudes to COVID-19 vaccines using the 5C framework. Social Science & Medicine 2023;339:116313 View
  52. Sun D, Zhao G, Al-Awaida W. The impact of Public Health Emergency (PHE) on the news dissemination strength: Evidence from Chinese-Speaking Vloggers on YouTube. PLOS ONE 2023;18(11):e0294665 View
  53. Li Y, Chen M, Lee H. Health communication on social media at the early stage of the pandemic: Examining health professionals’ COVID-19 related tweets. Social Science & Medicine 2024;347:116748 View
  54. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View
  55. Kłak A, Furmańczyk K, Sobeczek K, Raciborski F, Zając J, Rakocy K, Drab A, Religioni U. Using social media monitoring tool and Google Trends to study dynamics of vaccination-related online discourse. Polish Annals of Medicine 2024:1 View

Books/Policy Documents

  1. Wright C, Knopp M, Knopp M. Molecular Imaging. View