arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.03180cs.HCcs.SI
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EpiMob:用于流行病控制的全市人员流动限制的交互式可视化分析

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control

Chuang Yang, Zhiwen Zhang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki

摘要:

自二零二零年一月下旬以来,新型冠状病毒病(COVID-19)爆发已席卷超过180个国家及地区。作为全球范围内的紧急应对措施,各国政府已实施各种措施和政策,如自我隔离、旅行限制、在家工作和区域封锁,以控制疫情的传播。这些对策旨在限制人员流动,因为COVID-19是一种通过人际传播传播的高度传染性疾病。医学专家和政策制定者表示,迫切需要借助大数据和信息技术有效评估人类限制政策的结果。因此,基于大的人类移动数据和城市POI数据,一个交互式的可视化分析系统,称为流行病流动(EpiMob)的设计在这项研究中。该系统响应于某个限制策略或策略组合(例如,区域封锁、远程办公、筛查)。用户可以方便地指定不同的移动性限制策略的空间和时间范围。然后,动态展示反映不同策略下感染情况的结果,并可灵活进行深入对比分析。在日本最大的都市地区(即,大东京地区),以证明该系统可以通过测量和比较,深入了解不同的人口流动限制政策对流行病控制的影响。

英文摘要:

The outbreak of coronavirus disease (COVID-19) has swept across more than 180 countries and territories since late January 2020. As a worldwide emergency response, governments have implemented various measures and policies, such as self-quarantine, travel restrictions, work from home, and regional lockdown, to control the spread of the epidemic. These countermeasures seek to restrict human mobility because COVID-19 is a highly contagious disease that is spread by human-to-human transmission. Medical experts and policymakers have expressed the urgency to effectively evaluate the outcome of human restriction policies with the aid of big data and information technology. Thus, based on big human mobility data and city POI data, an interactive visual analytics system called Epidemic Mobility (EpiMob) was designed in this study. The system interactively simulates the changes in human mobility and infection status in response to the implementation of a certain restriction policy or a combination of policies (e.g., regional lockdown, telecommuting, screening). Users can conveniently designate the spatial and temporal ranges for different mobility restriction policies. Then, the results reflecting the infection situation under different policies are dynamically displayed and can be flexibly compared and analyzed in depth. Multiple case studies consisting of interviews with domain experts were conducted in the largest metropolitan area of Japan (i.e., Greater Tokyo Area) to demonstrate that the system can provide insight into the effects of different human mobility restriction policies for epidemic control, through measurements and comparisons.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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