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

Digital Health Reviews (1289) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Information Retrieval (287) Linguistics, Comprehension, and Learning (52)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39484, first published .
Linguistic Methodologies to Surveil the Leading Causes of Mortality: Scoping Review of Twitter for Public Health Data

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

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

Authors of this article:

Jamil M Lane1 Author Orcid Image ;   Daniel Habib2 Author Orcid Image ;   Brenda Curtis2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Jamil M Lane   1 , MPH, PhD ;   Daniel Habib   2 , BA ;   Brenda Curtis   2 , MSPH, PhD

1 Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 Technology and Translational Research Unit, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, United States

Corresponding Author:

  • Brenda Curtis, MSPH, PhD
  • Technology and Translational Research Unit
  • National Institute on Drug Abuse
  • National Institutes of Health
  • 251 Bayview Boulevard, Suite 200
  • Baltimore, MD, 21224
  • United States
  • Phone: 1 443-740-2126
  • Email: brenda.curtis@nih.gov