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

Infodemiology and Infoveillance (1565) Innovations and Technology for Physical Activity Education (936) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1926) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1142)

Published on in Vol 21, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12394, first published .
Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study

Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study

Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study

Authors of this article:

Sam Liu1 Author Orcid Image ;   Brian Chen2 Author Orcid Image ;   Alex Kuo2 Author Orcid Image
Article Authors Cited by (16) Tweetations (52) Metrics

Journals

  1. Cossin S, Thiébaut R. Public Health and Epidemiology Informatics: Recent Research Trends Moving toward Public Health Data Science. Yearbook of Medical Informatics 2020;29(01):231 View
  2. Liu S, Lithopoulos A, Zhang C, Garcia-Barrera M, Rhodes R. Personality and perceived stress during COVID-19 pandemic: Testing the mediating role of perceived threat and efficacy. Personality and Individual Differences 2021;168:110351 View
  3. Wang Y, Zhang H, Zheng Q, Tang K, Sun Q. Public interest in Raynaud's phenomenon: A Google Trends analysis. Dermatologic Therapy 2020;33(6) View
  4. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  5. Camacho-Rivera M, Vo H, Huang X, Lau J, Lawal A, Kawaguchi A. Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps. JMIR mHealth and uHealth 2020;8(10):e15076 View
  6. van Draanen J, Tao H, Gupta S, Liu S. Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(4):e18540 View
  7. Pulido-Polo M, Hernández-Santaolalla V, Lozano-González A. Uso institucional de Twitter para combatir la infodemia causada por la crisis sanitaria de la Covid-19. El profesional de la información 2021 View
  8. Liu S, Perdew M, Lithopoulos A, Rhodes R. The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study. Journal of Medical Internet Research 2021;23(4):e20954 View
  9. Sun P, Lu W, Jin L. How the natural environment in downtown neighborhood affects physical activity and sentiment: Using social media data and machine learning. Health & Place 2023;79:102968 View
  10. Jin P, Zhao Q, Zang Y, Zhang Q, Shen C, Zhang H, Zhang H, Zhi L. A Google Trends analysis revealed global public interest and awareness of nasal polyps. European Archives of Oto-Rhino-Laryngology 2023;280(6):2831 View
  11. Liu Z, Maneekul P, Pendergrast C, Doubleday A, Miles S, Errett N, Choe Y. Physical activity monitoring data following disasters. Sustainable Cities and Society 2022;81:103814 View
  12. Morita P, Zakir Hussain I, Kaur J, Lotto M, Butt Z. Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter. Journal of Medical Internet Research 2023;25:e44356 View
  13. Christodoulakis N, Abdelkader W, Lokker C, Cotterchio M, Griffith L, Vanderloo L, Anderson L. Public Health Surveillance of Behavioral Cancer Risk Factors During the COVID-19 Pandemic: Sentiment and Emotion Analysis of Twitter Data. JMIR Formative Research 2023;7:e46874 View
  14. Sun P, Zhao H, Lu W. How urban environments affect public sentiment and physical activity using a cognitive computing framework. Frontiers of Architectural Research 2024;13(5):946 View
  15. Alturayeif N, Alqahtani D, Aljameel S, Almajed N, Alshehri L, Aldhuwaihi N, Alhadyan M, Aldakheel N. Fit Talks: Forecasting Fitness Awareness in Saudi Arabia Using Fine-Tuned Transformers. Big Data and Cognitive Computing 2025;9(2):20 View
  16. Li W, Chi J, Wu J, Zhang X, Zhang J, Zhai W, Liu P, Herr C, Stouffs R. Associations among park features, physical activities, and sensory perceptions from online reviews: A domain-specific named entity recognition model. Ecological Informatics 2026;93:103548 View