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Citing this Article

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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. Clemente L, Lu F, Santillana M. Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries. JMIR Public Health and Surveillance 2019;5(2):e12214
    CrossRef
  2. Lu FS, Hattab MW, Clemente CL, Biggerstaff M, Santillana M. Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. Nature Communications 2019;10(1)
    CrossRef
  3. Talaei-Khoei A, Wilson JM, Kazemi S. Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment. JMIR Public Health and Surveillance 2019;5(1):e11357
    CrossRef
  4. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework (Preprint). JMIR Public Health and Surveillance 2019;
    CrossRef
  5. 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
  6. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1)
    CrossRef
  7. 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
  8. 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
  9. 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