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

Epidemiology (196) Infodemiology and Infoveillance (1558) JMIR Theme Issue: COVID-19 Special Issue (2554) Public Health (247) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67098, first published .
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

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 Tweetations Metrics

Hiroko Okada   1 ;   Tsuyoshi Okuhara   1 ;   Takahiro Kiuchi   1

1 Department of Health Communication, Schoolf of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

Corresponding Author:

  • Hiroko Okada
  • Department of Health Communication, Schoolf of Public Health
  • Graduate School of Medicine
  • The University of Tokyo
  • 7-3-1 Hongo, Bunkyo-ku
  • Tokyo 113-8655
  • Japan
  • Phone: 81 3 5800 6549
  • Email: okadahiroko-tky@umin.ac.jp