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Observing Human Mobility Internationally During COVID-19

  • Shane Allcroft
  • , Mohammed Metwaly
  • , Zachery Berg
  • , Isha Ghodgaonkar
  • , Fischer Bordwell
  • , XinXin Zhao
  • , Xinglei Liu
  • , Jiahao Xu
  • , Subhankar Chakraborty
  • , Vishnu Banna
  • , Akhil Chinnakotla
  • , Abhinav Goel
  • , Caleb Tung
  • , Gore Kao
  • , Wei Zakharov
  • , David A Shoham
  • , George K. Thiruvathukal
  • , Yung-Hsiang Lu
  • Purdue University
  • Indian Institute of Science, Bangalore
  • East Tennessee State University

Research output: Contribution to journalArticlepeer-review

Abstract

This article analyzes visual data captured from five countries and three U.S. states to evaluate the effectiveness of lockdown policies for reducing the spread of COVID-19. The main challenge is the scale: nearly six million images are analyzed to observe how people respond to the policy changes.

Original languageAmerican English
JournalComputer Science: Faculty Publications and Other Works
Volume56
Issue number3
DOIs
StatePublished - Mar 3 2023

Keywords

  • big data
  • computer vision
  • epidemics
  • COVID-19

Disciplines

  • Artificial Intelligence and Robotics
  • Computer Sciences

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