ArticleJMIR medical informatics2022
The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data.
Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Age-specific impact of COVID-19 on birth rates in Japan: An interrupted time-series analysis using national vital statistics.PloS one · 2026Article
- Mobile phone data analyses for public health research: a scoping review.Frontiers in public health · 2025Article
- Improvement of the software for modeling the dynamics of epidemics and developing a user-friendly interface.Infectious Disease Modelling · 2023Article
- 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 · 2023Article
- Article
- Machine learning based regional epidemic transmission risks precaution in digital society.Scientific reports · 2022Article
- Role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19 in Japan.Transportation research. Part A, Policy and practice · 2022Article
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Authors and funding
2 authors.
Funding
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Abstract
backgroundThe availability of large-scale and fine-grained aggregated mobility data has allowed researchers to observe the dynamics of social distancing behaviors at high spatial and temporal resolutions. Despite the increasing attention paid to this research agenda, limited studies have focused on the demographic factors related to mobility, and the dynamics of social distancing behaviors have not been fully investigated.
objectiveThis study aims to assist in designing and implementing public health policies by exploring how social distancing behaviors varied among various demographic groups over time.
methodsWe combined several data sources, including mobile tracking mobility data and geographical statistics, to estimate the visiting population of entertainment venues across demographic groups, which can be considered the proxy of social distancing behaviors. Next, we used time series analysis methods to investigate how voluntary and policy-induced social distancing behaviors shifted over time across demographic groups.
resultsOur findings demonstrate distinct patterns of social distancing behaviors and their dynamics across age groups. On the one hand, although entertainment venues' population comprises mainly individuals aged 20-40 years, a more significant proportion of the youth has adopted social distancing behaviors and complied with policy implementations compared to older age groups. From this perspective, the increasing contribution to infections by the youth should be more likely to be attributed to their number rather than their violation of social distancing behaviors. On the other hand, although risk perception and self-restriction recommendations can induce social distancing behaviors, their impact and effectiveness appear to be largely weakened during Japan's second state of emergency.
conclusionsThis study provides a timely reference for policymakers about the current situation on how different demographic groups adopt social distancing behaviors over time. On the one hand, the age-dependent disparity requires more nuanced and targeted mitigation strategies to increase the intention of elderly individuals to adopt mobility restriction behaviors. On the other hand, considering that the effectiveness of policy implementations requesting social distancing behaviors appears to decline over time, in extreme cases, the government should consider imposing stricter social distancing interventions, as they are necessary to promote social distancing behaviors and mitigate the transmission of COVID-19.
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