COVID-19对紧急住房收容所访问模式影响的图分析
A Graph Analysis of the Impact of COVID-19 on Emergency Housing Shelter Access Patterns
AI总结：
该研究利用七家收容所逾4万人的长期访问数据，以图论网络分析COVID-19封锁前后及期间的收容所流动模式，并比较不同使用群体的特征与持续影响。
摘要：
本文调查了COVID-19如何扰乱加拿大卡尔加里的紧急住房收容所访问模式，以及这些变化的哪些方面持续至今。本分析将使用来自七家主要城市收容所、时间跨度为2018年至今、涉及超过40,000名个人的汇总收容所访问数据。研究将采用图论方法，考察个人在COVID-19封锁期之前、期间和之后在各收容所之间的流动历程。该方法将收容所视为图中的节点，并将个人在收容所之间的转移视为节点之间的箭头或边。这一视角被用于创建时间线图和网络图，以可视化收容所使用情况以及人员在各收容所之间的流动。文中还给出了统计结果，用以说明不同群体之间的差异：仅在封锁前/后使用收容所的人、封锁期间留在收容所的人，以及封锁期间首次使用收容所的人。结果不仅展示了一个复杂照护系统如何应对疫情，还揭示了在紧急情况下最可能继续依赖该系统的人群特征。
英文摘要：
This paper investigates how COVID-19 disrupted emergency housing shelter access patterns in Calgary, Canada and what aspects of these changes persist to the present day. This analysis will utilize aggregated shelter access data for over 40,000 individuals from seven major urban shelters dating from 2018 to the present. A graph theoretic approach will be used to examine the journeys of individuals between shelters before, during and after the COVID-19 lockdown period. This approach treats shelters as nodes in a graph and a person's transition between shelter as an arrow or edge between nodes. This perspective is used to create both timeline and network diagrams that visualize shelter use and the flow of people between shelters. Statistical results are also presented that illustrate the differences between the cohorts of people who only used shelter pre/post-lockdown, people who stayed in shelter during lockdown and people who used shelter for the first time during lockdown. The results demonstrate not only how a complex system of care responded to the pandemic but also the characteristics of the people most likely to continue to rely on that system during an emergency.
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。
