Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 25.09.18 in Vol 4, No 3 (2018): Jul-Sept

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

Works citing "Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study"

Shoko Wakamiya, Yukiko Kawai, Eiji Aramaki

JMIR Public Health Surveill 2018 (Sep 25); 4(3):e65 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.8627):

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

  1. Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
    CrossRef
  2. Alotaibi S, Mehmood R, Katib I, Rana O, Albeshri A. Sehaa: A Big Data Analytics Tool for Healthcare Symptoms and Diseases Detection Using Twitter, Apache Spark, and Machine Learning. Applied Sciences 2020;10(4):1398
    CrossRef
  3. Tavoschi L, Quattrone F, D’Andrea E, Ducange P, Vabanesi M, Marcelloni F, Lopalco PL. Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy. Human Vaccines & Immunotherapeutics 2020;:1
    CrossRef
  4. Huang Y, Huang D, Nguyen QC. Census Tract Food Tweets and Chronic Disease Outcomes in the U.S., 2015–2018. International Journal of Environmental Research and Public Health 2019;16(6):975
    CrossRef
  5. Wakamiya S, Morita M, Kano Y, Ohkuma T, Aramaki E. Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations. Journal of Medical Internet Research 2019;21(2):e12783
    CrossRef
  6. Wakamiya S, Matsune S, Okubo K, Aramaki E. Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis. Journal of Medical Internet Research 2019;21(2):e10450
    CrossRef
  7. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.8627)

:
  1. Suprem A, Musaev A, Pu C. Services – SERVICES 2019. 2019. Chapter 7:92
    CrossRef