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Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events.
Tusl, Martin; Thelen, Anja; Marcus, Kailing; Peters, Alexandra; Shalaeva, Evgeniya; Scheckel, Benjamin; Sykora, Martin; Elayan, Suzanne; Naslund, John A; Shankardass, Ketan; Mooney, Stephen J; Fadda, Marta; Gruebner, Oliver.
Afiliação
  • Tusl M; Public and Organizational Health, Epidemiology, Biostatistics, and Prevention Institute, Center of Salutogenesis, University of Zurich, Zurich, Switzerland.
  • Thelen A; Institute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne, University of Cologne, Cologne, Germany.
  • Marcus K; Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  • Peters A; Infection Control Programme and WHO Collaborating Center on Patient Safety, University of Geneva, Geneva, Switzerland.
  • Shalaeva E; Division of Public Health Science, Westminster International University in Tashkent, Tashkent, Uzbekistan.
  • Scheckel B; Institute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne, University of Cologne, Cologne, Germany.
  • Sykora M; Centre for Information Management, Loughborough University, Loughborough, Leicestershire UK.
  • Elayan S; Centre for Information Management, Loughborough University, Loughborough, Leicestershire UK.
  • Naslund JA; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA USA.
  • Shankardass K; Department of Health Sciences, Wilfrid Laurier University, Waterloo, ON Canada.
  • Mooney SJ; Department of Epidemiology, University of Washington, Seattle, WA USA.
  • Fadda M; Faculty of Biomedical Sciences, University of Lugano, Lugano, Switzerland.
  • Gruebner O; Department of Geography, University of Zurich, Zurich, Switzerland.
Discov Ment Health ; 2(1): 14, 2022.
Article em En | MEDLINE | ID: mdl-35789666
The present commentary discusses how social media big data could be used in mental health research to assess the impact of major global crises such as the COVID-19 pandemic. We first provide a brief overview of the COVID-19 situation and the challenges associated with the assessment of its global impact on mental health using conventional methods. We then propose social media big data as a possible unconventional data source, provide illustrative examples of previous studies, and discuss the advantages and challenges associated with their use for mental health research. We conclude that social media big data represent a valuable resource for mental health research, however, several methodological limitations and ethical concerns need to be addressed to ensure safe use.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Discov Ment Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Discov Ment Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça