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 regions) are susceptible to spreading the disease, especially if they contain asymptomatic infected people together with healthy people. Our scheme identifies regions using existing cellular network functionalities- and . The frequency of and events is highly reflective of the density of mobile people in the area because virtually everyone carries UEs. These measurements, which are accumulated over very many UEs, allow us to identify the regions without compromising the privacy and anonymity of individuals. The inferred regions can then be subjected to further monitoring and risk mitigation.