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

Infoveillance and Social Listening (214) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34464, first published .
Confounding Effect of Undergraduate Semester–Driven “Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration

Confounding Effect of Undergraduate Semester–Driven “Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration

Confounding Effect of Undergraduate Semester–Driven “Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration

Authors of this article:

Timber Gillis1 Author Orcid Image ;   Scott Garrison1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Kamiński M, Czarny J, Skrzypczak P, Sienicki K, Roszak M. The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review. Journal of Medical Internet Research 2023;25:e47582 View
  2. Maxwell S, Brooks C, Kim D, McNeely C, Cho S, Thomas K. Improving Surveillance of Human Tick-Borne Disease Risks: Spatial Analysis Using Multimodal Databases. JMIR Public Health and Surveillance 2023;9:e43790 View