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Citing this Article

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Published on 22.01.14 in Vol 16, No 1 (2014): January

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

Works citing "Guess Who’s Not Coming to Dinner? Evaluating Online Restaurant Reservations for Disease Surveillance"

Elaine O Nsoesie, David L Buckeridge, John S Brownstein

J Med Internet Res 2014 (Jan 22); 16(1):e22 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2998):

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

  1. Wang Z, Bauch CT, Bhattacharyya S, d'Onofrio A, Manfredi P, Perc M, Perra N, Salathé M, Zhao D. Statistical physics of vaccination. Physics Reports 2016;664:1
    CrossRef
  2. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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  3. Yan S, Chughtai A, Macintyre C. Utility and potential of rapid epidemic intelligence from internet-based sources. International Journal of Infectious Diseases 2017;63:77
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  4. Santillana M, Zhang DW, Althouse BM, Ayers JW. What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?. American Journal of Preventive Medicine 2014;47(3):341
    CrossRef
  5. Cesare N, Dwivedi P, Nguyen QC, Nsoesie EO. Use of social media, search queries, and demographic data to assess obesity prevalence in the United States. Palgrave Communications 2019;5(1)
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  6. Aiello AE, Renson A, Zivich PN. Social Media– and Internet-Based Disease Surveillance for Public Health. Annual Review of Public Health 2020;41(1):101
    CrossRef
  7. Wang H, Chen D, Yu H, Chen Y. Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan. Journal of Medical Internet Research 2015;17(11):e264
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  8. Nsoesie EO, Butler P, Ramakrishnan N, Mekaru SR, Brownstein JS. Monitoring Disease Trends using Hospital Traffic Data from High Resolution Satellite Imagery: A Feasibility Study. Scientific Reports 2015;5(1)
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  9. Ramakrishnan N, Lu C, Marathe M, Marathe A, Vullikanti A, Eubank S, Leman S, Roan M, Brownstein JS, Summers K, Getoor L, Srinivasan A, Choudhury T, Gupta D, Mares D. Model-Based Forecasting of Significant Societal Events. IEEE Intelligent Systems 2015;30(5):86
    CrossRef
  10. Zhang Y, Arab A, Cowling BJ, Stoto MA. Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance data. BMC Public Health 2014;14(1)
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  11. . The Long Way From Government Open Data to Mobile Health Apps: Overcoming Institutional Barriers in the US Federal Government. JMIR mHealth and uHealth 2014;2(4):e58
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  12. McIver DJ, Hawkins JB, Chunara R, Chatterjee AK, Bhandari A, Fitzgerald TP, Jain SH, Brownstein JS. Characterizing Sleep Issues Using Twitter. Journal of Medical Internet Research 2015;17(6):e140
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  13. Park H, Jung H, On J, Park SK, Kang H. Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies. Healthcare Informatics Research 2018;24(4):253
    CrossRef
  14. Althouse BM, Scarpino SV, Meyers LA, Ayers JW, Bargsten M, Baumbach J, Brownstein JS, Castro L, Clapham H, Cummings DA, Del Valle S, Eubank S, Fairchild G, Finelli L, Generous N, George D, Harper DR, Hébert-Dufresne L, Johansson MA, Konty K, Lipsitch M, Milinovich G, Miller JD, Nsoesie EO, Olson DR, Paul M, Polgreen PM, Priedhorsky R, Read JM, Rodríguez-Barraquer I, Smith DJ, Stefansen C, Swerdlow DL, Thompson D, Vespignani A, Wesolowski A. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Science 2015;4(1)
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  15. Volkova S, Ayton E, Porterfield K, Corley CD, Chowell G. Forecasting influenza-like illness dynamics for military populations using neural networks and social media. PLOS ONE 2017;12(12):e0188941
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  16. Wenham C, Gray ER, Keane CE, Donati M, Paolotti D, Pebody R, Fragaszy E, McKendry RA, Edmunds WJ. Self-Swabbing for Virological Confirmation of Influenza-Like Illness Among an Internet-Based Cohort in the UK During the 2014-2015 Flu Season: Pilot Study. Journal of Medical Internet Research 2018;20(3):e71
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  17. 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
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  18. Lee EC, Asher JM, Goldlust S, Kraemer JD, Lawson AB, Bansal S. Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference. Journal of Infectious Diseases 2016;214(suppl 4):S409
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  19. Wirtz BW, Müller WM, Weyerer JC. Digital Pandemic Response Systems: A Strategic Management Framework Against Covid-19. International Journal of Public Administration 2021;44(11-12):896
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  20. Wojcik S, Bijral AS, Johnston R, Lavista Ferres JM, King G, Kennedy R, Vespignani A, Lazer D. Survey data and human computation for improved flu tracking. Nature Communications 2021;12(1)
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  21. Miliou I, Xiong X, Rinzivillo S, Zhang Q, Rossetti G, Giannotti F, Pedreschi D, Vespignani A, Viboud C. Predicting seasonal influenza using supermarket retail records. PLOS Computational Biology 2021;17(7):e1009087
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  22. Groseclose SL, Buckeridge DL. Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation. Annual Review of Public Health 2017;38(1):57
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  23. Hammond A, Kim JJ, Sadler H, Vandemaele K. Influenza surveillance systems using traditional and alternative sources of data: A scoping review. Influenza and Other Respiratory Viruses 2022;16(6):965
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  24. Fulk A, Romero-Alvarez D, Abu-Saymeh Q, Saint Onge JM, Peterson AT, Agusto FB, Aboelhadid SM. Using Google Health Trends to investigate COVID-19 incidence in Africa. PLOS ONE 2022;17(6):e0269573
    CrossRef
  25. Yuhan BT, Yasuda MA, Joshi R, Charous S, Hurtuk A. No-Show Rates in an Academic Otolaryngology Practice Before and During the COVID-19 Pandemic. Cureus 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2998):

  1. Perra N, Gonçalves B. Social Phenomena. 2015. Chapter 4:59
    CrossRef