A new analysis of Google's Community Mobility Reports by assistant statistics professor Jacob Steinhardt and a colleague at MIT estimates that San Francisco might be able to regain up to 70% of normal mobility without spurring a major resurgence of the COVID-19 outbreak once it has passed it initial peak of cases. The study looked at other regions, as well, tailoring their predictions based on data regarding caseloads. Professor Steinhardt stresses the caveat that their conclusions are highly uncertain, and the regions they analyzed should not ease restrictions without first instituting effective strategies to track the disease's spread to quickly identify rebounds. "With the data we currently have, we actually just don't know what the level of safe mobility is," Professor Steinhardt says. "We need much better mechanisms for tracking prevalence in order to do any of this safely."