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

Surveillance Systems (454) Infodemiology and Infoveillance (1331) Infectious Diseases (non-STD/STI) (1555) Influenza and Influenza-Like-Illness (ILI) Surveillance (215) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1031)

Published on in Vol 1, No 1 (2015): Jan-Jun

Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational Study

Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational Study

Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational Study

Authors of this article:

David Andre Broniatowski1 Author Orcid Image ;   Mark Dredze2 Author Orcid Image ;   Michael J Paul3 Author Orcid Image ;   Andrea Dugas4 Author Orcid Image
Article Authors Cited by (28) Tweetations (4) Metrics

Journals

  1. Rajangam E, Annamalai C. Topic extraction using local graph centrality and semantic similarity. Concurrency and Computation: Practice and Experience 2021;33(7):1 View
  2. Edo-Osagie O, De La Iglesia B, Lake I, Edeghere O. A scoping review of the use of Twitter for public health research. Computers in Biology and Medicine 2020;122:103770 View
  3. Kandula S, Yamana T, Pei S, Yang W, Morita H, Shaman J. Evaluation of mechanistic and statistical methods in forecasting influenza-like illness. Journal of The Royal Society Interface 2018;15(144):20180174 View
  4. Barros J, 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 View
  5. Rocklöv J, Tozan Y, Ramadona A, Sewe M, Sudre B, Garrido J, de Saint Lary C, Lohr W, Semenza J. Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017. Emerging Infectious Diseases 2019;25(6):1041 View
  6. Yousefinaghani S, Dara R, Poljak Z, Bernardo T, Sharif S. The Assessment of Twitter’s Potential for Outbreak Detection: Avian Influenza Case Study. Scientific Reports 2019;9(1) View
  7. Lissemore F, Shatzman S, Clark N, Nash J, Miller R, Lerner A. Dementia Reported Missing. Alzheimer Disease & Associated Disorders 2019;33(2):142 View
  8. Masri S, Jia J, Li C, Zhou G, Lee M, Yan G, Wu J. Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemic. BMC Public Health 2019;19(1) View
  9. Sarker A, Magge A, Sharma A. Dermatologic concerns communicated through Twitter. International Journal of Dermatology 2017;56(8) View
  10. Moore J, Barnett I, Boland M, Chen Y, Demiris G, Gonzalez-Hernandez G, Herman D, Himes B, Hubbard R, Kim D, Morris J, Mowery D, Ritchie M, Shen L, Urbanowicz R, Holmes J. Ideas for how informaticians can get involved with COVID-19 research. BioData Mining 2020;13(1) View
  11. Crisci A, Grasso V, Nesi P, Pantaleo G, Paoli I, Zaza I. Predicting TV programme audience by using twitter based metrics. Multimedia Tools and Applications 2018;77(10):12203 View
  12. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  13. Oren E, Frere J, Yom-Tov E, Yom-Tov E. Respiratory syncytial virus tracking using internet search engine data. BMC Public Health 2018;18(1) View
  14. Hartley D, Giannini C, Wilson S, Frieder O, Margolis P, Kotagal U, White D, Connelly B, Wheeler D, Tadesse D, 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 View
  15. Xue H, Bai Y, Hu H, Liang H. Influenza Activity Surveillance Based on Multiple Regression Model and Artificial Neural Network. IEEE Access 2018;6:563 View
  16. Wrycza S, Maślankowski J. Social Media Users’ Opinions on Remote Work during the COVID-19 Pandemic. Thematic and Sentiment Analysis. Information Systems Management 2020;37(4):288 View
  17. Pan Y, Zhang L. A BIM-data mining integrated digital twin framework for advanced project management. Automation in Construction 2021;124:103564 View
  18. Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200 View
  19. Gong X, Hou M, Han Y, Liang H, Guo R. Application of the Internet Platform in Monitoring Chinese Public Attention to the Outbreak of COVID-19. Frontiers in Public Health 2022;9 View
  20. Botz J, Wang D, Lambert N, Wagner N, Génin M, Thommes E, Madan S, Coudeville L, Fröhlich H. Modeling approaches for early warning and monitoring of pandemic situations as well as decision support. Frontiers in Public Health 2022;10 View
  21. Zhang Y, Hara T. Explainable Integration of Social Media Background in a Dynamic Neural Recommender. ACM Transactions on Knowledge Discovery from Data 2023;17(3):1 View
  22. Zhang Y, Shirakawa M, Wang Y, Li Z, Hara T. Twitter-aided decision making: a review of recent developments. Applied Intelligence 2022;52(12):13839 View
  23. Harris C, Pozzar R, Conley Y, Eicher M, Hammer M, Kober K, Miaskowski C, Colomer-Lahiguera S. Big Data in Oncology Nursing Research: State of the Science. Seminars in Oncology Nursing 2023;39(3):151428 View
  24. Zhang Y, Hara T. Joint knowledge graph approach for event participant prediction with social media retweeting. Knowledge and Information Systems 2023 View

Books/Policy Documents

  1. Mondal S, Rehena Z. Internet of Things Based Smart Healthcare. View