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

Digital Health Reviews (1289) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1515) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Big Data (240)

Published on in Vol 25 (2023)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42734, first published .
Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Authors of this article:

Nina H Di Cara1, 2 Author Orcid Image ;   Valerio Maggio2, 3 Author Orcid Image ;   Oliver S P Davis2, 3, 4 Author Orcid Image ;   Claire M A Haworth1, 4 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics

Nina H Di Cara   1, 2 , BSc, MSc, PhD ;   Valerio Maggio   2, 3 , BSc, MSc, PhD ;   Oliver S P Davis   2, 3, 4 * , BA, MSc, PhD ;   Claire M A Haworth   1, 4 * , BA, MSc, PhD

1 School of Psychological Science, University of Bristol, Bristol, United Kingdom

2 MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom

3 Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom

4 The Alan Turing Institute, London, United Kingdom

*these authors contributed equally

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