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

Reviews in Digital Mental Health (225) e-Mental Health and Cyberpsychology (1388) Methods and New Tools in Mental Health Research (424) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1553) Mass Media/Social Media Communication and Campaigns (446) Depression and Mood Disorders; Suicide Prevention (1273) Disaster Medicine and Mass Casualty Management (21) Clinical Mental Health Informatics (27) Public (e)Health, Digital Epidemiology and Public Health Informatics (637)

Published on in Vol 9, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33058, first published .
Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review

Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review

Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review

Authors of this article:

Samantha J Teague1, 2 Author Orcid Image ;   Adrian B R Shatte3 Author Orcid Image ;   Emmelyn Weller1 Author Orcid Image ;   Matthew Fuller-Tyszkiewicz1 Author Orcid Image ;   Delyse M Hutchinson1, 4, 5, 6, 7 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics

Journals

  1. Malhotra A, Jindal R. Deep learning techniques for suicide and depression detection from online social media: A scoping review. Applied Soft Computing 2022;130:109713 View
  2. Smith I, Youssef G, Shatte A, Teague S, Knight T, Macdonald J. “You are not alone”: A big data and qualitative analysis of men's unintended fatherhood. SSM - Qualitative Research in Health 2022;2:100085 View
  3. Skaik R, Inkpen D. Predicting Depression in Canada by Automatic Filling of Beck’s Depression Inventory Questionnaire. IEEE Access 2022;10:102033 View
  4. 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
  5. Khorasani M, Kahani M, Yazdi S, Hajiaghaei-Keshteli M. Towards finding the lost generation of autistic adults: A deep and multi-view learning approach on social media. Knowledge-Based Systems 2023;276:110724 View
  6. An R, Yang Y, Batcheller Q, Zhou Q. Sentiment Analysis of Tweets on Soda Taxes. Journal of Public Health Management and Practice 2023;29(5):633 View
  7. George J, Elayan S, Sykora M, Solter M, Feick R, Hewitt C, Liu Y, Shankardass K. The Role of Social Media in Building Pandemic Resilience in an Urban Community: A Qualitative Case Study. International Journal of Environmental Research and Public Health 2023;20(17):6707 View
  8. Cimiano P, Collins B, De Vuono M, Escudier T, Gottowik J, Hartung M, Leddin M, Neupane B, Rodriguez-Esteban R, Schmidt A, Starke-Knäusel C, Voorhaar M, Wieckowski K. Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators. Frontiers in Medicine 2024;11 View
  9. Wang Y, Koffman J, Gao W, Zhou Y, Chukwusa E, Curcin V. Social media for palliative and end-of-life care research: a systematic review. BMJ Supportive & Palliative Care 2024;14(2):149 View

Books/Policy Documents

  1. Kansal M, Singh P, Srivastava P, Singhal R, Deep N, Singh A. Future of AI in Medical Imaging. View