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Journal of Medical Internet Research

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"

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. 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
    CrossRef
  2. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  3. Groseclose SL, Buckeridge DL. Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation. Annual Review of Public Health 2017;38(1):57
    CrossRef
  4. 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
  5. 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
    CrossRef
  6. 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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  7. 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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  8. 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
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  9. 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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  10. 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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  11. 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
  12. 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)
    CrossRef
  13. Mergel I. 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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