Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 14.11.14 in Vol 16, No 11 (2014): November

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

Works citing "The Reliability of Tweets as a Supplementary Method of Seasonal Influenza Surveillance"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3532):

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

  1. Sharpe JD, Hopkins RS, Cook RL, Striley CW. Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis. JMIR Public Health and Surveillance 2016;2(2):e161
    CrossRef
  2. 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
  3. Stewart J, Sprivulis P, Dwivedi G. Artificial intelligence and machine learning in emergency medicine. Emergency Medicine Australasia 2018;30(6):870
    CrossRef
  4. Kim I, Feng C, Wang Y, Spitzberg BH, Tsou M. Exploratory Spatiotemporal Analysis in Risk Communication during the MERS Outbreak in South Korea. The Professional Geographer 2017;69(4):629
    CrossRef
  5. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
    CrossRef
  6. Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187
    CrossRef
  7. Djuricich AM, Zee-Cheng JE. Live tweeting in medicine: ‘Tweeting the meeting’. International Review of Psychiatry 2015;27(2):133
    CrossRef
  8. Ukoha C, Stranieri A. Criteria to Measure Social Media Value in Health Care Settings: Narrative Literature Review. Journal of Medical Internet Research 2019;21(12):e14684
    CrossRef
  9. Barnes M, Hanson C, Giraud-Carrier C. The Case for Computational Health Science. Journal of Healthcare Informatics Research 2018;2(1-2):99
    CrossRef
  10. Sarker A, Magge A, Sharma A. Dermatologic concerns communicated through Twitter. International Journal of Dermatology 2017;56(8):e162
    CrossRef
  11. Gao Y, Wang S, Padmanabhan A, Yin J, Cao G. Mapping spatiotemporal patterns of events using social media: a case study of influenza trends. International Journal of Geographical Information Science 2018;32(3):425
    CrossRef
  12. Rabarison KM, Croston MA, Englar NK, Bish CL, Flynn SM, Johnson CC. Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA. JMIR Public Health and Surveillance 2017;3(2):e34
    CrossRef
  13. Oldroyd RA, Morris MA, Birkin M. Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques. JMIR Public Health and Surveillance 2018;4(2):e57
    CrossRef
  14. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  15. Cuomo RE, Cai M, Shah N, Li J, Chen W, Obradovich N, Mackey TK. Characterising communities impacted by the 2015 Indiana HIV outbreak: A big data analysis of social media messages associated with HIV and substance abuse. Drug and Alcohol Review 2020;
    CrossRef
  16. Hartley DM, Giannini CM, Wilson S, Frieder O, Margolis PA, Kotagal UR, White DL, Connelly BL, Wheeler DS, Tadesse DG, Macaluso M, Nishiura H. Coughing, sneezing, and aching online: Twitter and the volume of influenza-like illness in a pediatric hospital. PLOS ONE 2017;12(7):e0182008
    CrossRef
  17. Gao J, Zhang Y, Zhou T. Computational socioeconomics. Physics Reports 2019;817:1
    CrossRef
  18. Han SY, Tsou M, Clarke KC, Hernandez Montoya AR. Do Global Cities Enable Global Views? Using Twitter to Quantify the Level of Geographical Awareness of U.S. Cities. PLOS ONE 2015;10(7):e0132464
    CrossRef
  19. Chan MS, Lohmann S, Morales A, Zhai C, Ungar L, Holtgrave DR, Albarracín D. An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years. AIDS and Behavior 2018;22(7):2322
    CrossRef
  20. Shi X, Xue B, Tsou M, Ye X, Spitzberg B, Gawron JM, Corliss H, Lee J, Jin R. Detecting events from the social media through exemplar-enhanced supervised learning. International Journal of Digital Earth 2019;12(9):1083
    CrossRef
  21. Zhao N, Cao G, Vanos JK, Vecellio DJ. The effects of synoptic weather on influenza infection incidences: a retrospective study utilizing digital disease surveillance. International Journal of Biometeorology 2018;62(1):69
    CrossRef
  22. Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315
    CrossRef
  23. Tian E. A prospect for the geographical research of sport in the age of Big Data. Sport in Society 2020;23(1):159
    CrossRef
  24. Hassan Zadeh A, Zolbanin HM, Sharda R, Delen D. Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis. Information Systems Frontiers 2019;21(4):743
    CrossRef
  25. Jiang W, Wang Y, Tsou M, Fu X, Amaral LAN. Using Social Media to Detect Outdoor Air Pollution and Monitor Air Quality Index (AQI): A Geo-Targeted Spatiotemporal Analysis Framework with Sina Weibo (Chinese Twitter). PLOS ONE 2015;10(10):e0141185
    CrossRef
  26. Han SY, Tsou M, Clarke KC. Revisiting the death of geography in the era of Big Data: the friction of distance in cyberspace and real space. International Journal of Digital Earth 2018;11(5):451
    CrossRef
  27. Gardy JL, Loman NJ. Towards a genomics-informed, real-time, global pathogen surveillance system. Nature Reviews Genetics 2018;19(1):9
    CrossRef
  28. Tsou M. Research challenges and opportunities in mapping social media and Big Data. Cartography and Geographic Information Science 2015;42(sup1):70
    CrossRef
  29. Braithwaite SR, Giraud-Carrier C, West J, Barnes MD, Hanson CL. Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. JMIR Mental Health 2016;3(2):e21
    CrossRef
  30. Ye X, Li S, Yang X, Qin C. Use of Social Media for the Detection and Analysis of Infectious Diseases in China. ISPRS International Journal of Geo-Information 2016;5(9):156
    CrossRef
  31. Park HW, Park S, Chong M. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea. Journal of Medical Internet Research 2020;22(5):e18897
    CrossRef
  32. Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
    CrossRef
  33. Spitzberg BH. Trace of pace, place, and space in personal relationships: The chronogeometrics of studying relationships at scale. Personal Relationships 2019;26(2):184
    CrossRef
  34. Allen C, Tsou M, Aslam A, Nagel A, Gawron J, Ebrahimi M. Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza. PLOS ONE 2016;11(7):e0157734
    CrossRef
  35. Hopkins RS, Tong CC, Burkom HS, Akkina JE, Berezowski J, Shigematsu M, Finley PD, Painter I, Gamache R, Vilas VJDR, Streichert LC. A Practitioner-Driven Research Agenda for Syndromic Surveillance. Public Health Reports 2017;132(1_suppl):116S
    CrossRef
  36. Young SD, Zhang Q, Nishiura H. Using search engine big data for predicting new HIV diagnoses. PLOS ONE 2018;13(7):e0199527
    CrossRef
  37. Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perra N, Perrotta D, Santillana M, Swarup S, Tizzoni M, Vespignani A, Vullikanti AKS, Wilson ML, Zhang Q. Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health and Surveillance 2017;3(4):e83
    CrossRef
  38. Yang J, Tsou M, Janowicz K, Clarke KC, Jankowski P. Reshaping the urban hierarchy: patterns of information diffusion on social media. Geo-spatial Information Science 2019;22(3):149
    CrossRef
  39. Khan Y, Leung GJ, Belanger P, Gournis E, Buckeridge DL, Liu L, Li Y, Johnson IL. Comparing Twitter data to routine data sources in public health surveillance for the 2015 Pan/Parapan American Games: an ecological study. Canadian Journal of Public Health 2018;109(3):419
    CrossRef
  40. Yang J, Tsou M, Jung C, Allen C, Spitzberg BH, Gawron JM, Han S. Social media analytics and research testbed (SMART): Exploring spatiotemporal patterns of human dynamics with geo-targeted social media messages. Big Data & Society 2016;3(1):205395171665291
    CrossRef
  41. Issa E, Tsou M, Nara A, Spitzberg B. Understanding the spatio-temporal characteristics of Twitter data with geotagged and non-geotagged content: two case studies with the topic of flu and Ted (movie). Annals of GIS 2017;23(3):219
    CrossRef
  42. Little RJA, West BT, Boonstra PS, Hu J. Measures of the Degree of Departure from Ignorable Sample Selection. Journal of Survey Statistics and Methodology 2019;
    CrossRef
  43. Kim AE, Hopper T, Simpson S, Nonnemaker J, Lieberman AJ, Hansen H, Guillory J, Porter L. Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study. Journal of Medical Internet Research 2015;17(11):e251
    CrossRef
  44. Wilson C, Jumbert MG. The new informatics of pandemic response: humanitarian technology, efficiency, and the subtle retreat of national agency. Journal of International Humanitarian Action 2018;3(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3532):

  1. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
    CrossRef
  2. Ye X, Li S, Yang X, Lee J, Wu L. Big Data Support of Urban Planning and Management. 2018. Chapter 7:113
    CrossRef
  3. Nayduch D, Fryxell RT, Olafson PU. Medical and Veterinary Entomology. 2019. :673
    CrossRef
  4. Morris NJ. Routledge Handbook of Health Geography. 2018. :331
    CrossRef
  5. Fan S, Garg S, Yeom S. AI 2016: Advances in Artificial Intelligence. 2016. Chapter 63:702
    CrossRef
  6. Spitzberg BH, Tsou M, Jung C. The Handbook of Applied Communication Research. 2020. :163
    CrossRef