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.
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.
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