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On Monday, December 3, 2018, from 16:00-18:00 EST, RefCheck will be undergoing maintenance. RefCheck is the process where, during copyediting, all references are extracted from the manuscript file, parsed, matched against various databases (eg, PubMed and CrossRef), and automatically corrected. For more information on RefCheck, please visit our Knowledge Base.

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Published on 09.01.18 in Vol 4, No 1 (2018): Jan-Mar

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

Works citing "Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.8950):

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

  1. Tana JC, Kettunen J, Eirola E, Paakkonen H. Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data. JMIR Mental Health 2018;5(2):e43
    CrossRef
  2. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1)
    CrossRef
  3. Mavragani A, Ochoa G, Tsagarakis KP. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270
    CrossRef
  4. Talaei-Khoei A, M. WILSON J, Kazemi SF. Determining Period of Measurement in Time-Series Predictions of Disease Counts using Auto-Correlation and Change Point Analysis: Evidence from 2007-2017 in Northern Nevada (Preprint). JMIR Public Health and Surveillance 2018;
    CrossRef
  5. Kolff CA, Scott VP, Stockwell MS. The use of technology to promote vaccination: A social ecological model based framework. Human Vaccines & Immunotherapeutics 2018;14(7):1636
    CrossRef
  6. Roth JA, Battegay M, Juchler F, Vogt JE, Widmer AF. Introduction to Machine Learning in Digital Healthcare Epidemiology. Infection Control & Hospital Epidemiology 2018;39(12):1457
    CrossRef