Our team is building a collection of interactive data dashboards that visually summarize human mobility patterns over time and space for a number of cities, starting with Philadelphia, along with highlighting potentially relevant demographic correlates. We are estimating a series of statistical models to identify correlations between demographic and human mobility data (e.g. does age, race, gender, income level predict social distancing metrics?) and are using mobility and demographic data to train epidemiological models designed to predict the impact of policies around reopening and vaccination.
We use a proprietary combination of cell phone GPS data, demographic data derived from the American Community Survey, and COVID-19 caseload data from the New York Times.
ABOVE: COVID-19 Places of Interest and Census Tracts
A sample from our in-progress COVID mapping dashboard. The map above visualizes Philadelphia’s COVID data and high-traffic destinations by Census Tract, providing an overview of how people move throughout the city.
See more about this project here.
Stevens University Professor & twenty-third Penn Integrates Knowledge Professor
Affiliate Research Scientist
Jorge Barreras Cortes
Undergraduate Student Researcher