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

Epidemiology (254) Infodemiology and Infoveillance (2043) Public Health (392) JMIR Theme Issue: COVID-19 Special Issue (4239) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (301)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67098, first published .
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Factors Predicting Information Overload During the COVID-19 Pandemic in the Digital Age: Longitudinal Study

Factors Predicting Information Overload During the COVID-19 Pandemic in the Digital Age: Longitudinal Study

Authors of this article:

Hiroko Okada1 Author Orcid Image ;   Tsuyoshi Okuhara1 Author Orcid Image ;   Takahiro Kiuchi1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Dote Pardo J. Information overload in digital environments: a systematic review of conceptualizations, antecedents and behavioral consequences. Journal of Documentation 2026:1 View
  2. Pang Y, Zhao Y. Exploratory scale development for young-old adults’ perceived online health information overload and its relationship with health anxiety. The Electronic Library 2026;44(6):1135 View
  3. Bao H, Wang L, Lee E, Zhi P, Lin F, Wang X. Examining the Moderating Roles of Algorithm Literacy in eHealth Outcomes Across Age Groups. Health Communication 2026:1 View

Books/Policy Documents

  1. Pathak A, Quttainah M. Human-Centered Innovation, Ethics, and Consumer Behavior in Digital Markets. View