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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1176) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1999) Infodemiology and Infoveillance (1616) Public (e)Health, Digital Epidemiology and Public Health Informatics (1151) Mass Media/Social Media Communication and Campaigns (614) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (150) Food Sciences and Nutrition Engineering (73)

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 .
Man using food delivery app on smartphone, browsing restaurant menus.

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 (13) Tweetations (10) 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 2025;36(6):511 View
  9. Glenn A, Hu F. Perspective: Food Is Medicine: Hype or Hope?. The Journal of Nutrition 2025;155(11):3654 View
  10. Kahya Özyirmidokuz E, Molu Elmas B, Stoica E. AI-Based Sentiment Analysis of E-Commerce Customer Feedback: A Bilingual Parallel Study on the Fast Food Industry in Turkish and English. Journal of Theoretical and Applied Electronic Commerce Research 2025;20(4):294 View
  11. Momin K, Hasnine M, Sadri A. Using Social Media to Model Community-Based Behavioral Response During Public Health Emergencies: A Case Study of the 2023 Canadian Wildfires. Transportation Research Record: Journal of the Transportation Research Board 2025 View
  12. Galali Y, Hadi P, Hassan A, Balaky H, Rashid T, Sadee B, Salih T, Hassanzadeh H. Application of Artificial Intelligence in Food Science and Nutrition: Challenges and Future Perspectives. eFood 2026;7(3) View

Books/Policy Documents

  1. Vidal L, Ares G, Jaeger S. Methods in Consumer Research, Volume 1. View