Document Type
Article
Publication Date
3-3-2023
Publication Title
IEEE Computer
Volume
56
Issue
3
Pages
59-69
Publisher Name
IEEE
Publisher Location
USA
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.
Recommended Citation
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Copyright Statement
© IEEE, 2023.
Comments
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