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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. Viboud C, Santillana M. Fitbit-informed influenza forecasts. The Lancet Digital Health 2020;2(2):e54
    CrossRef
  2. Darwish A, Rahhal Y, Jafar A. A comparative study on predicting influenza outbreaks using different feature spaces: application of influenza-like illness data from Early Warning Alert and Response System in Syria. BMC Research Notes 2020;13(1)
    CrossRef
  3. 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
    CrossRef
  4. Syamsuddin M, Fakhruddin M, Sahetapy-Engel JTM, Soewono E. Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(7):e17633
    CrossRef
  5. Cheng H, Wu Y, Lin M, Liu Y, Tsai Y, Wu J, Pan K, Ke C, Chen C, Liu D, Lin I, Chuang J. Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study. Journal of Medical Internet Research 2020;22(8):e15394
    CrossRef
  6. Hegde A, Masthi R, Krishnappa D. Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response. Frontiers in Public Health 2020;8
    CrossRef
  7. Leal Neto O, Cruz O, Albuquerque J, Nacarato de Sousa M, Smolinski M, Pessoa Cesse E, Libel M, Vieira de Souza W. Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study. JMIR Public Health and Surveillance 2020;6(2):e16119
    CrossRef
  8. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  9. Bowen DA, Wang J, Holland K, Bartholow B, Sumner SA. Conversational topics of social media messages associated with state-level mental distress rates. Journal of Mental Health 2020;29(2):234
    CrossRef
  10. Jarynowski A, Wójta-Kempa M, BElik V. Perception of Emergent Epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet. SSRN Electronic Journal 2020;
    CrossRef
  11. Rangarajan P, Mody SK, Marathe M, Priedhorsky R. Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data. PLOS Computational Biology 2019;15(11):e1007518
    CrossRef
  12. Tideman S, Santillana M, Bickel J, Reis B. Internet search query data improve forecasts of daily emergency department volume. Journal of the American Medical Informatics Association 2019;26(12):1574
    CrossRef
  13. Soliman M, Lyubchich V, Gel YR. Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA. Epidemics 2019;28:100345
    CrossRef
  14. 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
  15. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef
  16. 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
  17. Baltrusaitis K, Vespignani A, Rosenfeld R, Gray J, Raymond D, Santillana M. Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. JMIR Public Health and Surveillance 2019;5(4):e13403
    CrossRef
  18. Lutz CS, Huynh MP, Schroeder M, Anyatonwu S, Dahlgren FS, Danyluk G, Fernandez D, Greene SK, Kipshidze N, Liu L, Mgbere O, McHugh LA, Myers JF, Siniscalchi A, Sullivan AD, West N, Johansson MA, Biggerstaff M. Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples. BMC Public Health 2019;19(1)
    CrossRef
  19. 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
  20. Su K, Xu L, Li G, Ruan X, Li X, Deng P, Li X, Li Q, Chen X, Xiong Y, Lu S, Qi L, Shen C, Tang W, Rong R, Hong B, Ning Y, Long D, Xu J, Shi X, Yang Z, Zhang Q, Zhuang Z, Zhang L, Xiao J, Li Y. Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China. EBioMedicine 2019;47:284
    CrossRef
  21. 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
  22. 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
  23. 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
  24. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1)
    CrossRef
  25. 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

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

:
  1. Simsek M, Obinikpo AA, Kantarci B. Connected Health in Smart Cities. 2020. Chapter 3:23
    CrossRef
  2. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
    CrossRef