My group has been using your mobility data to analyze covid policy responses in the US. One issue we had was that there appear to be some "spikes" in the data for certain locales, where mobility might be 20x or 30x higher than it's typical value. For example on July 17th and 14th in Philadelphia county, there was a huge jump in mobility.
I initially thought this might have been due to the blacklivesmatter protests or something, but it seems too big to be explained by that, and didn't find the same thing in other cities. Similar spikes exist for a number of other counties, but necessarily not at the same date.
My group has been using your mobility data to analyze covid policy responses in the US. One issue we had was that there appear to be some "spikes" in the data for certain locales, where mobility might be 20x or 30x higher than it's typical value. For example on July 17th and 14th in Philadelphia county, there was a huge jump in mobility.
I initially thought this might have been due to the blacklivesmatter protests or something, but it seems too big to be explained by that, and didn't find the same thing in other cities. Similar spikes exist for a number of other counties, but necessarily not at the same date.