Managing Trajectories and Interactions During a Pandemic: A Trajectory Similarity-based Approach (Demo Paper)
Managing Trajectories and Interactions During a Pandemic: A Trajectory Similarity-based Approach (Demo Paper)
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DOI：
10.1145/3474717.3484206
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发表时间：
2021-11
期刊：
影响因子：
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通讯作者：
E. Buckland;E. Tanin;N. Geard;C. Zachreson;Hairuo Xie;H. Samet
中科院分区：
文献类型：
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作者：
E. Buckland;E. Tanin;N. Geard;C. Zachreson;Hairuo Xie;H. Samet
COVID-19带来了巨大的社会、经济和健康相关负担，促使全球政策制定者采取不同的控制措施。接触者追踪在COVID-19时代发挥着关键作用。然而，接触者追踪本质上是完全追溯性的：它只能确定已知或疑似病例的接触者。我们提出的系统是前瞻性的，旨在“创建”网络，最终使接触者追踪和流行病管理更容易。由于联系人追踪试图重建底层的交互网络，我们可以通过降低联系人网络结构的复杂性来改善这一过程;我们引入了一种通过策略调度来降低联系人网络复杂性的方法。该方法通过在活动、位置和时间间隔的坐标空间中对各个轨迹进行成对比较来发挥作用。我们通过一个模拟的情况下，个人（学生）注册活动使用的移动的应用程序在校园里的方法。然后，应用程序应用我们的算法为个人提供时间表，降低整个网络的复杂性，而不会损害个人隐私。
COVID-19 has brought about substantial social, economic and health related burdens, motivating different control measures from policy makers worldwide. Contact tracing plays a pivotal role in the COVID-19 era. However, contact tracing is by nature entirely retrospective: it can only identify contacts of known or suspected cases. Our proposed system is prospective, aiming to 'create' networks that will ultimately make contact tracing and pandemic management easier. As contact tracing seeks to reconstruct the underlying interaction network, we can improve the process by reducing the complexity of contact network structure; we introduce a method for reducing contact network complexity through strategic scheduling. The method functions through pairwise comparison of individual trajectories in a coordinate space of activities, locations, and time intervals. We demonstrate the method through a simulated scenario where individuals (students) register for activities using a mobile application in a campus. The application then applies our algorithm to provide individuals with schedules that reduce the complexity of the overall network, without compromising individual privacy.