JMIR Publications

Journal of Medical Internet Research

Citing this Article

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Published on 24.10.13 in Vol 15, No 10 (2013): October

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

Works citing "The Complex Relationship of Realspace Events and Messages in Cyberspace: Case Study of Influenza and Pertussis Using Tweets"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2705):

(note that this is only a small subset of citations)

  1. Kim K, Kojima I, Ogawa H. Discovery of local topics by using latent spatio-temporal relationships in geo-social media. International Journal of Geographical Information Science 2016;30(9):1899
    CrossRef
  2. Padrez KA, Ungar L, Schwartz HA, Smith RJ, Hill S, Antanavicius T, Brown DM, Crutchley P, Asch DA, Merchant RM. Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ Quality & Safety 2016;25(6):414
    CrossRef
  3. Seidenberg AB, Pagoto SL, Vickey TA, Linos E, Wehner MR, Costa RD, Geller AC. Tanning bed burns reported on Twitter: over 15,000 in 2013. Translational Behavioral Medicine 2016;6(2):271
    CrossRef
  4. An L, Tsou M, Spitzberg BH, Gupta DK, Gawron JM. Latent trajectory models for space-time analysis: An application in deciphering spatial panel data. Geographical Analysis 2016;48(3):314
    CrossRef
  5. Wang Y, Wang T, Ye X, Zhu J, Lee J. Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm. Sustainability 2015;8(1):25
    CrossRef
  6. Cao G, Wang S, Hwang M, Padmanabhan A, Zhang Z, Soltani K. A scalable framework for spatiotemporal analysis of location-based social media data. Computers, Environment and Urban Systems 2015;51:70
    CrossRef
  7. Yin Z, Fabbri D, Rosenbloom ST, Malin B. A Scalable Framework to Detect Personal Health Mentions on Twitter. Journal of Medical Internet Research 2015;17(6):e138
    CrossRef
  8. Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives. Journal of Medical Internet Research 2014;16(10):e236
    CrossRef
  9. Spitzberg BH. Toward A Model of Meme Diffusion (M3D). Communication Theory 2014;24(3):311
    CrossRef
  10. Aslam AA, Tsou M, Spitzberg BH, An L, Gawron JM, Gupta DK, Peddecord KM, Nagel AC, Allen C, Yang J, Lindsay S. The Reliability of Tweets as a Supplementary Method of Seasonal Influenza Surveillance. Journal of Medical Internet Research 2014;16(11):e250
    CrossRef