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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Outbreak and Pandemic Preparedness and Management (1826) Infodemiology and Infoveillance (1558) JMIR Theme Issue: COVID-19 Special Issue (2554) Behavioural Surveillance for Public Health (294) Early Results from COVID-19 Studies (363) Innovative Methods in Public Health and Surveillance (383) Infectious Diseases (non-STD/STI) (1726) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42446, first published .
Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

Authors of this article:

Amanda MY Chu1 Author Orcid Image ;   Andy C Y Chong2 Author Orcid Image ;   Nick H T Lai3 Author Orcid Image ;   Agnes Tiwari4, 5 Author Orcid Image ;   Mike K P So3 Author Orcid Image
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

  1. Shih D, Wu Y, Wu T, Chang S, Shih M. Infodemiology of Influenza-like Illness: Utilizing Google Trends’ Big Data for Epidemic Surveillance. Journal of Clinical Medicine 2024;13(7):1946 View
  2. Asai M, Chu A, So M. Dynamic Network Poisson Autoregression with Application to COVID-19 Count Data. Journal of Data Science 2025:208 View
  3. So M, Chan T, Chu A. Bayesian Systemic Risk Analysis using Latent Space Network Models. Data Science in Science 2024;3(1) View
  4. Fan L, Li L, Hemphill L. Toxicity on Social Media During the 2022 Mpox Public Health Emergency: Quantitative Study of Topical and Network Dynamics. Journal of Medical Internet Research 2024;26:e52997 View
  5. Chu A, Tsang J, Chan S, Chan L, So M. Utilizing Google Trends data to enhance forecasts and monitor long COVID prevalence. Communications Medicine 2025;5(1) View
  6. Danpanichkul P, Thongprayoon C, Suparan K, Kim D, Wanichthanaolan O, Wattanachayakul P, Pang Y, Muthiah M, Kulkarni A, Yang J, Kaewdech A, Cheungpasitporn W, Wijarnpreecha K. Evolving Public Attention to Steatotic Liver Disease: A 20‐Year Analysis (2004–2024). Journal of Gastroenterology and Hepatology 2025;40(8):2053 View
  7. Lin T, Tsai T, Tsai C, Chang P. Public Interest for Laser-Assisted In Situ Keratomileusis, Small-Incision Lenticule Extraction, and Implantable Collamer Lens in Taiwan, Hong Kong, and Singapore: A Google Trends Study. Cornea Open 2025;4(3) View
  8. Zhu Y, Hu X, Wang X, Li S, Wang P, Pan H. Seasonal pattern, global search trend, and public interest in arthritis from 2004 to 2022: an infodemiology study. Immunologic Research 2025;73(1) View