Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37466, first published .
The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis

The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis

The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis

Journals

  1. Amujo O, Ibeke E, Fuzi R, Ogara U, Iwendi C. Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect. Sustainability 2023;15(4):3212 View
  2. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  3. Lee S, Kim S. Public’s Experience with an Online Reservation System for Residual COVID-19 Vaccines and the Potential for Increasing the Actual Vaccination Rate. Vaccines 2023;11(6):1021 View
  4. Shi B, Huang W, Dang Y, Zhou W. Leveraging social media data for pandemic detection and prediction. Humanities and Social Sciences Communications 2024;11(1) View
  5. Kuroda M, Ahmed M, Kuroda K, Lane S. Understanding COVID-19 Vaccine Hesitancy among the General Population in Japan from Public Health Ethical Perspectives: Findings from a Narrative Review. Asian Bioethics Review 2025;17(1):141 View
  6. Inoue S, Fuji K. How did internet information influence COVID-19 vaccination? The cyclical influence of the internet information, beliefs, attitudes, and intentions toward vaccines from a three-wave longitudinal study. Technology in Society 2025;81:102776 View
  7. Saito R, Tsugawa S. Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI. Journal of Medical Internet Research 2025;27:e63824 View
  8. Liu J, Niu Q, Nagai-Tanima M, Aoyama T. Understanding Human Papillomavirus Vaccination Hesitancy in Japan Using Social Media: Content Analysis. Journal of Medical Internet Research 2025;27:e68881 View