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.

中文翻译：

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使用现有的蜂窝无线网络功能检测传播COVID-19的风险区域

目标：本文的目的是介绍一种新策略，以识别具有高人口密度和机动性的区域，这些区域可能会传播COVID-19。人潮涌动的拥挤地区（称为 有风险 地区）很容易传播疾病，尤其是如果这些患者包含无症状感染者和健康人群。 方法： 我们的方案确定 有风险 使用现有蜂窝网络功能的地区 交出 和 小区（重新）选择-用于维持移动最终用户设备（UE）的无缝覆盖 。的频率交出 和 单元格（重新）选择 事件实际上反映了该地区流动人口的密度，因为实际上每个人都携带UE。 结果： 这些测量值是在非常多的UE上累积的，可以让我们识别出 有风险 地区而不会损害个人的隐私和匿名性。 结论： 推论 有风险 然后可以对区域进行进一步的监控和降低风险。