Details: Using the geotracking data of about 15 million people per day, the study found that counties that voted for President Trump in 2016 saw a 24% decrease in movement and visits to non-essential services between March 9 and May 29 of this year. Counties that voted for Hillary Clinton saw a 38% drop.
This partisan gap remained after factoring in variables like counties’ coronavirus case counts, population density, income, racial makeup and age makeup.
The study also found that less physical distancing was linked to higher coronavirus infection rates 17–23 days later, and an increase in fatality rates 25–31 days later.
“These results imply that Trump-leaning counties could have curbed their infection and fatality growth rates if they had distanced to the same degree as Clinton-leaning counties did,” the authors conclude.