Coronavirus Mobility

This visualization aims to understand population behavior during the COVID-19 pandemic. I use aggregated human mobility data (how far people move each day) from Cuebiq, an offline intelligence and measurement marketing company, which partners with 86 apps to collect first-party location data. Different U.S. states have handled the Covid-19 Pandemic in vastly different ways, with some states still refraining from issuing stay-at-home orders. This has led to very different mobility behaviors by state. I show that the stay-at-home order successfully reduced movement during the week of March 23rd and April 13th, with Americans reverting towards pre-COVID-19 movement patterns in between.

This visualization won the University of Arizona Library Data Visualization Contest. Learn more here: https://new.library.arizona.edu/news/2020-data-visualization-challenge-winners

Kelsey E. Gonzalez
Kelsey E. Gonzalez
PhD Candidate

I’m a computational social scientist interested in using social data in new and innovative ways.