Published on 29.05.15 in Vol 1, No 1 (2015): Jan-Jun
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)
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Rajangam E, Annamalai C. Topic extraction using local graph centrality and semantic similarity. Concurrency and Computation: Practice and Experience 2021;33(7):1
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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
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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
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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
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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
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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)
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Lissemore FM, Shatzman S, Clark N, Nash J, Miller R, Lerner AJ. Dementia Reported Missing. Alzheimer Disease & Associated Disorders 2019;33(2):142
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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)
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Sarker A, Magge A, Sharma A. Dermatologic concerns communicated through Twitter. International Journal of Dermatology 2017;56(8)
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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)
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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
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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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)
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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
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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
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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
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Pan Y, Zhang L. A BIM-data mining integrated digital twin framework for advanced project management. Automation in Construction 2021;124:103564
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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
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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
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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
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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
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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
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Harris CS, Pozzar RA, Conley Y, Eicher M, Hammer MJ, Kober KM, Miaskowski C, Colomer-Lahiguera S. Big Data in Oncology Nursing Research: State of the Science. Seminars in Oncology Nursing 2023;39(3):151428
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Zhang Y, Hara T. Joint knowledge graph approach for event participant prediction with social media retweeting. Knowledge and Information Systems 2024;66(3):2115
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According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.4472):
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Mondal S, Rehena Z. Internet of Things Based Smart Healthcare. 2022. Chapter 14:307
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