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

Journals

  1. Lane J, Zhang X, Alcala C, Midya V, Nagdeo K, Li R, Wright R. Tweeting environmental pollution: Analyzing twitter language to uncover its correlation with county-level obesity rates in the United States. Preventive Medicine 2024;186:108081 View
  2. Batista D, Dávila R, Santos A, Rocha F, Araújo J, Alencar A, Nascimento L, Araújo N, Lopes S, Araújo P, Filgueiras R, Saraiva P, Lacerda M, Baía-da-Silva D, Murta F, Mudzviti T. Perception and barriers to access Pre-exposure Prophylaxis for HIV/AIDS (PrEP) among the MSM (men who have sex with men) Brazilian Amazon: A qualitative study. PLOS ONE 2024;19(9):e0296201 View