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

Infodemic Management (65) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1984) Infodemiology and Infoveillance (1609) Machine Learning (2270) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1547) JMIR Theme Issue: COVID-19 Special Issue (2569) Infoveillance and Social Listening (325)

Published on in Vol 4 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49699, first published .
Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences

Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences

Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences

Authors of this article:

Masaru Kamba1 Author Orcid Image ;   Wan Jou She1 Author Orcid Image ;   Kiki Ferawati1 Author Orcid Image ;   Shoko Wakamiya1, 2 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Biliotti C, Fraccaroli N, Puliga M, Bargagli-Stoffi F, Riccaboni M. The Impact of Stay-At-Home Mandates on Uncertainty and Sentiments: Quasi-Experimental Study. Journal of Medical Internet Research 2025;27:e64667 View
  2. Ferawati K, She W, Wakamiya S, Aramaki E. Comparison of Mask-Wearing Behavior on Social Media and Its Relationship With Demographic Characteristics During the COVID-19 Pandemic: Social Media Data Analysis Between the United States and Japan. JMIR Human Factors 2026;13:e78236 View