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Citing this Article

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Published on 29.05.15 in Vol 1, No 1 (2015): Jan-Jun

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.4472):

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

  1. 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
    CrossRef
  2. 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
  3. Moore JH, Barnett I, Boland MR, Chen Y, Demiris G, Gonzalez-Hernandez G, Herman DS, Himes BE, Hubbard RA, Kim D, Morris JS, Mowery DL, Ritchie MD, Shen L, Urbanowicz R, Holmes JH. Ideas for how informaticians can get involved with COVID-19 research. BioData Mining 2020;13(1)
    CrossRef
  4. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  5. Rocklöv J, Tozan Y, Ramadona A, Sewe MO, Sudre B, Garrido J, de Saint Lary CB, Lohr W, Semenza JC. Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017. Emerging Infectious Diseases 2019;25(6):1041
    CrossRef
  6. Yousefinaghani S, Dara R, Poljak Z, Bernardo TM, Sharif S. The Assessment of Twitter’s Potential for Outbreak Detection: Avian Influenza Case Study. Scientific Reports 2019;9(1)
    CrossRef
  7. Lissemore FM, Shatzman S, Clark N, Nash J, Miller R, Lerner AJ. Dementia Reported Missing. Alzheimer Disease & Associated Disorders 2019;33(2):142
    CrossRef
  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)
    CrossRef
  9. Rajangam E, Annamalai C. Topic extraction using local graph centrality and semantic similarity. Concurrency and Computation: Practice and Experience 2018;:e5054
    CrossRef
  10. 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
    CrossRef
  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
    CrossRef
  12. 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)
    CrossRef
  13. 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
    CrossRef
  14. Sarker A, Magge A, Sharma A. Dermatologic concerns communicated through Twitter. International Journal of Dermatology 2017;56(8):e162
    CrossRef
  15. 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