Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at, first published .
Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach

Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach

Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach


  1. CARDINALE M. Preparing athletes and staff for the first "pandemic" Olympic Games. The Journal of Sports Medicine and Physical Fitness 2021;61(8) View
  2. Marcec R, Likic R. Using Twitter for sentiment analysis towards AstraZeneca/Oxford, Pfizer/BioNTech and Moderna COVID-19 vaccines. Postgraduate Medical Journal 2022;98(1161):544 View
  3. Teague S, Shatte A, Weller E, Fuller-Tyszkiewicz M, Hutchinson D. Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review. JMIR Mental Health 2022;9(2):e33058 View
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  12. Bhuptani P, Hunter J, Goodwin C, Millman C, Orchowski L. Characterizing Intimate Partner Violence in the United States During the COVID-19 Pandemic: A Systematic Review. Trauma, Violence, & Abuse 2023;24(5):3220 View
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  15. Oduntan A, Oyebode O, Beltran A, Fowles J, Steeves D, Orji R. “I Let Depression and Anxiety Drown Me…”: Identifying Factors Associated With Resilience Based on Journaling Using Machine Learning and Thematic Analysis. IEEE Journal of Biomedical and Health Informatics 2022;26(7):3397 View
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Books/Policy Documents

  1. . Applied Big Data Analytics and Its Role in COVID-19 Research. View
  2. Wetter T. Personal Health Informatics. View
  3. Kalabikhina I, Loukachevitch N, Banin E, Kolotusha A. Recent Trends in Demographic Data [Working Title]. View