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Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32386, first published .
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Integrating Google Trends Search Engine Query Data Into Adult Emergency Department Volume Forecasting: Infodemiology Study

Integrating Google Trends Search Engine Query Data Into Adult Emergency Department Volume Forecasting: Infodemiology Study

Authors of this article:

Jesus Trevino1 Author Orcid Image ;   Sanjeev Malik2 Author Orcid Image ;   Michael Schmidt2 Author Orcid Image

Journals

  1. Portugal-Nunes C, Cheng L, Briote M, Saraiva C, Nunes F, Gonçalves C. COVID-19 Changes Public Awareness about Food Sustainability and Dietary Patterns: A Google Trends Analysis. Nutrients 2022;14(22):4898 View
  2. Kim S, Overman W, Pauphilet J, Cha W. Calibrate to Operate: Aligning Patient-Level Predictions with System-Wide Forecasts. SSRN Electronic Journal 2023 View
  3. Ming C, Lee G, Teo Y, Teo Y, Zhou X, Ho E, Toh E, Ong M, Tan B, Ho A. Deep learning modelling to forecast emergency department visits using calendar, meteorological, internet search data and stock market price. Computer Methods and Programs in Biomedicine 2025;267:108808 View
  4. Siminiuc R, Țurcanu D, Siminiuc S. Infodemiology of interest in Mukbang on YouTube in Eastern Europe 2020–2025. Discover Social Science and Health 2025;5(1) View
  5. Cooper J, Reid S. Exploring the Spatiotemporal Dynamics of Google Trends Data: An Application in Investigating Internet Search Interest and Child Care Demand. Spatial Demography 2026;14(1) View
  6. Kim Y, Kim J. Meteorological vs. Search-based Inputs for Heat-related Illness Forecasting. Journal of Health Informatics and Statistics 2026;51(2):74 View