COVID-Philadelphia

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.

Data Overview

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.

PEOPLE

Duncan Watts

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Stevens University Professor & twenty-third Penn Integrates Knowledge Professor

Homa Hosseinmardi

Homa Hosseinmard —

Research Scientist

Mark Whiting

Mark Whiting —

Research Scientist

Amir Ghasemian

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Affiliate Research Scientist

Jorge Barreras Cortes

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Ph.D. Researcher

Henry Ge

Henry Ge Headshot —

Undergraduate Student Researcher

FEATURED PUBLICATIONS

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Having just earned his Ph.D. in applied math in December, Jorge “Paco” Barreras Cortes kicks off 2023 as a fully fledged post-doctoral researcher at the CSSLab. He has driven the Lab’s work on epidemic modeling since 2020, grappling with the types of data, machine learning, and network science quandaries that underpin the toughest challenges in the field. Read on to learn more about his research journey in this month’s Researcher Spotlight.