University of Minnesota Transportation Cyber-Physical Systems Lab
Stern, Raphael (firstname.lastname@example.org)
Programming Software Code
This dataset contains flight data for all commercial flights in the Northeastern US during the COVID-19 pandemic, as well as code to calibrate and simulate an SEIR model that incorporates the flight data into the transmission process.
The flight data contains flights within the Northeastern US and contains flight date, duration, origin, destination, airline, and aircraft registration. The aircraft registration information has been cross referenced with the Federal Aviation Administration (FAA) database to identify the aircraft type and seating configuration on that aircraft.
The dataset also contains normalized COVID-19 infection levels for each county in the five-state region of New York, Massachusetts, Connecticut, Rhode Island, and New Jersey. This data is presented as the proportion of infected people in each county on a day-by-day basis.
(in press) "Capturing the Effects of Transportation on the Spread of COVID-19 with a Networked SEIR Model"
Depositor did not specify a license. Material may be reused with appropriate attribution.
Shang, Mingfeng; Pham, Joseph; Vrabac, Damir; Butler, Brooks; Paré, Philip E; Stern, Raphael.
(2020). Air travel data during the COVID-19 pandemic in the United States.
Retrieved from the Data Repository for the University of Minnesota,