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

JMIR Theme Issue: COVID-19 Special Issue (2452) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) New Methods (944) Hygiene and Infection Prevention (317) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21499, first published .
The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets

The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets

The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets

Authors of this article:

Paiheng Xu1 Author Orcid Image ;   Mark Dredze1 Author Orcid Image ;   David A Broniatowski2 Author Orcid Image
Article Authors Cited by (35) Tweetations (38) Metrics

Journals

  1. Ali F, Dogan S, Amin M, Hussain K, Ryu K. Brand anthropomorphism, love and defense: does attitude towards social distancing matter?. The Service Industries Journal 2021:1 View
  2. Pan Y, Darzi A, Kabiri A, Zhao G, Luo W, Xiong C, Zhang L. Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States. Scientific Reports 2020;10(1) View
  3. Kwok K, Wei W, Huang Y, Kam K, Chan E, Riley S, Chan H, Hui D, Wong S, Yeoh E. Evolving Epidemiological Characteristics of COVID-19 in Hong Kong From January to August 2020: Retrospective Study. Journal of Medical Internet Research 2021;23(4):e26645 View
  4. Buchanan W, Imran M, Ur-Rehman M, Zhang L, Abbasi Q, Chrysoulas C, Haynes D, Pitropakis N, Papadopoulos P. Review and Critical Analysis of Privacy-Preserving Infection Tracking and Contact Tracing. Frontiers in Communications and Networks 2020;1 View
  5. Ghobadi K, Hager G, Krieger A, Levin S, Unberath M. Responding to a Pandemic: COVID-19 Projects in the Malone Center. Surgical Innovation 2021;28(2):208 View
  6. Ibrahim A, Zhang H, Clinch S, Poliakoff E, Parsia B, Harper S. Digital Phenotypes for Understanding Individuals' Compliance With COVID-19 Policies and Personalized Nudges: Longitudinal Observational Study. JMIR Formative Research 2021;5(5):e23461 View
  7. Karami A, Kadari R, Panati L, Nooli S, Bheemreddy H, Bozorgi P. Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?. ISPRS International Journal of Geo-Information 2021;10(6):373 View
  8. Elyashar A, Plochotnikov I, Cohen I, Puzis R, Cohen O. The State of Mind of Health Care Professionals in Light of the COVID-19 Pandemic: Text Analysis Study of Twitter Discourses. Journal of Medical Internet Research 2021;23(10):e30217 View
  9. Hasni S, Faiz S. Word embeddings and deep learning for location prediction: tracking Coronavirus from British and American tweets. Social Network Analysis and Mining 2021;11(1) View
  10. Aljeri M. Big Data-Driven Approach to Analyzing Spatio-Temporal Mobility Pattern. IEEE Access 2022;10:98414 View
  11. Tsao S, MacLean A, Chen H, Li L, Yang Y, Butt Z. Public Attitudes During the Second Lockdown: Sentiment and Topic Analyses Using Tweets From Ontario, Canada. International Journal of Public Health 2022;67 View
  12. Miyake E, Martin S. Long Covid: Online patient narratives, public health communication and vaccine hesitancy. DIGITAL HEALTH 2021;7 View
  13. Sigalo N, St Jean B, Frias-Martinez V. Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets. JMIR Public Health and Surveillance 2022;8(7):e34285 View
  14. Ciesielski M, Tkaczyk M, Hycza T, Taczanowska K. Was it really different? COVID-19-pandemic period in long-term recreation monitoring – A case study from Polish forests. Journal of Outdoor Recreation and Tourism 2023;41:100495 View
  15. Najarsadeghi M, Dorostkar E. How do measure the triangle of human mobility in urban nightlife?. Cities 2022;130:103944 View
  16. Li X, Xu H, Huang X, Guo C, Kang Y, Ye X. Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challenges. Computational Urban Science 2021;1(1) View
  17. Nia Z, Asgary A, Bragazzi N, Mellado B, Orbinski J, Wu J, Kong J. Nowcasting unemployment rate during the COVID-19 pandemic using Twitter data: The case of South Africa. Frontiers in Public Health 2022;10 View
  18. Mirza I, Georgakopoulos D, Yavari A. Improving Situation Awareness via a Situation Model-Based Intersection of IoT Sensor and Social Media Information Spaces. Sensors 2022;22(20):7823 View
  19. Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View
  20. Huang X, Wang S, Zhang M, Hu T, Hohl A, She B, Gong X, Li J, Liu X, Gruebner O, Liu R, Li X, Liu Z, Ye X, Li Z. Social media mining under the COVID-19 context: Progress, challenges, and opportunities. International Journal of Applied Earth Observation and Geoinformation 2022;113:102967 View
  21. Mirza I, Georgakopoulos D, Yavari A. Cyber-Physical-Social Awareness Platform for Comprehensive Situation Awareness. Sensors 2023;23(2):822 View
  22. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  23. Usher K, Durkin J, Martin S, Vanderslott S, Vindrola-Padros C, Usher L, Jackson D. Public Sentiment and Discourse on Domestic Violence During the COVID-19 Pandemic in Australia: Analysis of Social Media Posts. Journal of Medical Internet Research 2021;23(10):e29025 View
  24. Zhong C, Morphet R, Yoshida M, Branda F. Twitter mobility dynamics during the COVID-19 pandemic: A case study of London. PLOS ONE 2023;18(4):e0284902 View
  25. Lee K, Eom J. Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility. Transportation 2024;51(5):1907 View
  26. Etienne D, Archambault P, Aziaka D, Chipenda-Dansokho S, Dubé E, Fallon C, Hakim H, Kindrachuk J, Krecoum D, MacDonald S, Ndjaboue R, Noubi M, Paquette J, Parent E, Witteman H. A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study. JMIR Formative Research 2023;7:e38430 View
  27. Thakuriah P, Boididou C, Hong J. Physical distancing and its association with travel behavior in daily pre-pandemic urban life: An analysis utilizing lifelogging images and composite survey and mobility data. Environment and Planning B: Urban Analytics and City Science 2024;51(8):1758 View
  28. Ullah N, Martin S, Poduval S. A Snapshot of COVID-19 Vaccine Discourse Related to Ethnic Minority Communities in the United Kingdom Between January and April 2022: Mixed Methods Analysis. JMIR Formative Research 2024;8:e51152 View
  29. Enoe J, Sutherland M, Davis D, Ramlal B, Griffith-Charles C, Bhola K, Asefa E. A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment. Geospatial Health 2024;19(1) View
  30. Ignaccolo C, Wibisono K, Sutto M, Plunz R. Tweeting during the Pandemic in New York City: Unveiling the Evolving Sentiment Landscape of NYC through a Spatiotemporal Analysis of Geolocated Tweets. Journal of Urban Technology 2024;31(3):3 View

Books/Policy Documents

  1. Haque S, Dixon B, Grannis S, Pina J. Clinical Informatics Study Guide. View
  2. Zhao P, Ren Y, Chen X. Encyclopedia of Data Science and Machine Learning. View
  3. . Applied Big Data Analytics and Its Role in COVID-19 Research. View