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

Depression and Mood Disorders; Suicide Prevention (1290) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Infodemiology and Infoveillance (1278) Peer-to-Peer Support and Online Communities (602) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (95)

Published on in Vol 5, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9533, first published .
Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study

Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study

Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study

Authors of this article:

Amber D. DeJohn1 Author Orcid Image ;   Emily English Schulz2 Author Orcid Image ;   Amber L Pearson1 Author Orcid Image ;   E Megan Lachmar2 Author Orcid Image ;   Andrea K Wittenborn2, 3 Author Orcid Image
Article Authors Cited by (9) Tweetations (26) Metrics

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  2. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  3. Jamal A, Aldawsari S, Almufawez K, Barri R, Zakaria N, Tharkar S. Twitter as a promising microblogging application for psychiatric consultation – Understanding the predictors of use, satisfaction and e-health literacy. International Journal of Medical Informatics 2020;141:104202 View
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  5. Stupinski A, Alshaabi T, Arnold M, Adams J, Minot J, Price M, Dodds P, Danforth C. Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study. JMIR Mental Health 2022;9(3):e33685 View
  6. Valinejad J, Guo Z, Cho J, Chen I. Measuring Community Resilience During the COVID-19 Based on Community Wellbeing and Resource Distribution. Journal of Social Computing 2022;3(4):322 View
  7. Golder S, Stevens R, O'Connor K, James R, Gonzalez-Hernandez G. Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review. Journal of Medical Internet Research 2022;24(4):e35788 View
  8. Abdullah A, Law J, Perlman C, Butt Z. Age- and Sex-Specific Association Between Vegetation Cover and Mental Health Disorders: Bayesian Spatial Study. JMIR Public Health and Surveillance 2022;8(7):e34782 View
  9. DeJohn A, Widener M, Mihailidis A. Who uses technology to socialize? Evidence from older Canadian adults. Discover Social Science and Health 2023;3(1) View