Detecting Regions At Risk for Spreading COVID-19 Using Existing Cellular Wireless Network Functionalities.
Detecting Regions At Risk for Spreading COVID-19 Using Existing Cellular Wireless Network Functionalities.
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DOI：
10.1109/ojemb.2020.3002447
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发表时间：
2020
影响因子：
5.8
通讯作者：
Chong EKP
中科院分区：
文献类型：
--
作者：
Alsaeedy AAR;Chong EKP
目标：本文的目的是介绍一种新的战略，以确定人口密度和流动性高的地区，这些地区有传播COVID-19的风险。人群活跃的拥挤地区（称为风险地区）容易传播疾病，特别是如果它们包含无症状感染者和健康人。研究方法：我们的计划确定风险区域使用现有的蜂窝网络功能切换和小区（重新）选择，用于保持无缝覆盖移动的终端用户设备（UE）。切换和小区（重新）选择事件的频率高度反映了该区域中移动的人的密度，因为实际上每个人都携带UE。结果如下：这些测量是在非常多的UE上积累的，使我们能够在不损害个人隐私和匿名性的情况下识别风险区域。结论：推断出的风险区域可以进行进一步的监测和风险缓解。
Goal: The purpose of this article is to introduce a new strategy to identify areas with high human density and mobility, which are at risk for spreading COVID-19. Crowded regions with actively moving people (called at-risk regions) are susceptible to spreading the disease, especially if they contain asymptomatic infected people together with healthy people. Methods: Our scheme identifies at-risk regions using existing cellular network functionalities—handover and cell (re)selection—used to maintain seamless coverage for mobile end-user equipment (UE). The frequency of handover and cell (re)selection events is highly reflective of the density of mobile people in the area because virtually everyone carries UEs. Results: These measurements, which are accumulated over very many UEs, allow us to identify the at-risk regions without compromising the privacy and anonymity of individuals. Conclusions: The inferred at-risk regions can then be subjected to further monitoring and risk mitigation.