“What we noticed right away is that we saw a disparity between what different states were doing,” Segil says. “As soon as a state mandates stay-at-home [or] recommends social distancing, the social distancing really kicks into the kind of percentage numbers that are effective at flattening the curve.”
However, when a state doesn’t mandate shelter-in-place, the comings and goings of Openpath customers continued. (The New York Times is tracking which states are making shelter-in-place and stay at home requests and which are not.)
Segil says that slowing the spread of Covid-19 is “not a sprint, it’s a marathon” and that having good data can help government, business, and citizens in general understand how much their communities are helping to slow the spread of the pandemic. “We wanted to be able to track the effectiveness of the policy of social distancing,” Segil says. “And this is kind of one of the best ways we’ve sought to sort of measure that.”
Check out the Social Distancing Index here.