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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Mass Media/Social Media Communication and Campaigns (461) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (111) Food Sciences and Nutrition Engineering (54)

Published on in Vol 8, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34285, first published .
Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets

Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets

Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets

Authors of this article:

Nekabari Sigalo1 Author Orcid Image ;   Beth St Jean1 Author Orcid Image ;   Vanessa Frias-Martinez1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (11) Metrics

Nekabari Sigalo   1 , BSc, MPH ;   Beth St Jean   1 , BA, MSc, PhD ;   Vanessa Frias-Martinez   1, 2 , BSc, MSc, PhD

1 College of Information Studies, University of Maryland, College Park, MD, United States

2 University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, United States

Corresponding Author:

  • Nekabari Sigalo, BSc, MPH
  • College of Information Studies
  • University of Maryland
  • 4130 Campus Dr
  • College Park, MD, 20742
  • United States
  • Phone: 1 301 405 2033
  • Email: nsigalo@umd.edu