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

Theme Issue: Medical Informatics and COVID-19 (103) JMIR Theme Issue: COVID-19 Special Issue (2388) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (92) Advanced Data Analytics in eHealth (104)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31557, first published .
The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data

The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data

The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data

Authors of this article:

Zeyu Lyu1 Author Orcid Image ;   Hiroki Takikawa1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Shi Z, Qian H, Li Y, Wu F, Wu L. Machine learning based regional epidemic transmission risks precaution in digital society. Scientific Reports 2022;12(1) View
  2. Etienne D, Archambault P, Aziaka D, Chipenda-Dansokho S, Dubé E, Fallon C, Hakim H, Kindrachuk J, Krecoum D, MacDonald S, Ndjaboue R, Noubi M, Paquette J, Parent E, Witteman H. A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study. JMIR Formative Research 2023;7:e38430 View
  3. Lee Y, Yuh M, Kim I, Cho B, Woo S, Hong S, Ooi P. Physical distancing and emergency medical services utilization after self-harm in Korea during the early COVID-19 pandemic: A nationwide quantitative study. PLOS ONE 2023;18(5):e0286398 View