Linguistic Methodologies to Surveil the Leading Causes of Mortality: Scoping Review of Twitter for Public Health Data.

Lane, Jamil M; Habib, Daniel; Curtis, Brenda

Lane, Jamil M; Habib, Daniel; Curtis, Brenda.

Afiliação

Lane JM; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Habib D; Technology and Translational Research Unit, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, United States.
Curtis B; Technology and Translational Research Unit, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, United States.

J Med Internet Res ; 25: e39484, 2023 06 12.

Article em En | MEDLINE | ID: mdl-37307062

Assuntos

COVID-19; Comunicação em Saúde; Mídias Sociais; Humanos; Linguística; Saúde Pública

Palavras-chave

Twitter; health communication; natural language processing; public health interventions; surveillance data

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comunicação em Saúde / Mídias Sociais / COVID-19 Tipo de estudo: Etiology_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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