Article
Observing Human Mobility Internationally During COVID-19
IEEE Computer
Document Type
Article
Publication Date
3-3-2023
Pages
59-69
Publisher Name
IEEE
Publisher Location
USA
Disciplines
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.
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 3.0
Copyright Statement
© IEEE, 2023.
Citation Information
Allcroft, Shane; Metwaly, Mohammed; Berg, Zachery; Ghodgaonkar, Isha; Bordwell, Fischer; Zhao, XinXin;
Liu, Xinglei; Xu, Jiahao; Chakraborty, Subhankar; Banna, Vishnu; Chinnakotla, Akhil; Goel, Abhinav; Tung, Caleb; Kao, Gore; Zakharov, Wei; Shoham, David A.; Thiruvathukal, George K.; and Lu, Yung-Hsiang. "Observing Human Mobility Internationally During COVID-19". IEEE Computer, 2023. Retrieved from Loyola eCommons, Computer Science: Faculty Publications and Other Works.
Author Posting. © IEEE, 2023. This is the author's version of the work. It is posted here by permission of the IEEE for personal use, not for redistribution. The definitive version was published in Computer, Volume 56, Issue 3, March 2023. https://doi.org/10.1109/MC.2022.3175751