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

Infodemic Management (54) Infodemiology and Infoveillance (1440) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1766) Infoveillance and Social Listening (238) JMIR Theme Issue: COVID-19 Special Issue (2487) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1528) Machine Learning (1686)

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 (1) 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