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

Journals

  1. Tanoh V, Hashemi-Beni L. Spatial Analysis of Socioeconomic Factors Contributing to Food Desert in North Carolina. Sustainability 2023;15(10):7848 View
  2. An R, Wang X. Artificial Intelligence Applications to Public Health Nutrition. Nutrients 2023;15(19):4285 View
  3. Luca M, Campedelli G, Centellegher S, Tizzoni M, Lepri B. Crime, inequality and public health: a survey of emerging trends in urban data science. Frontiers in Big Data 2023;6 View
  4. Sigalo N, Frias-Martinez V. Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study. JMIR Infodemiology 2023;3:e43700 View
  5. Molenaar A, Lukose D, Brennan L, Jenkins E, McCaffrey T. Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study. Journal of Medical Internet Research 2024;26:e47826 View
  6. Bartelmeß T, Schönfeld M, Pfeffer J. Exploring food poverty experiences in the German Twitter-Sphere. BMC Public Health 2024;24(1) View
  7. Landaeta-Díaz L, Vergara-Perucich F, Aguirre-Nuñez C, Ulloa-Leon F. Mapping Nutritional Inequality: A Primary Socio-Spatial Analysis of Food Deserts in Santiago de Chile. Urban Science 2024;8(3):129 View
  8. Sinha S, Huey S, Shukla A, Kuriyan R, Finkelstein J, Mehta S. Connecting precision nutrition with the Food is Medicine approach. Trends in Endocrinology & Metabolism 2024 View