Observing Human Mobility Internationally During COVID-19

被引:1
|
作者
Allcroft, Shane [1 ,2 ]
Metwaly, Mohammed [2 ]
Berg, Zachery [2 ,3 ]
Ghodgaonkar, Isha [2 ,4 ]
Bordwell, Fischer [2 ]
Zhao, Xinxin [2 ,5 ]
Liu, Xinglei [2 ,6 ]
Xu, Jiahao [2 ,7 ]
Chakraborty, Subhankar [8 ,11 ]
Banna, Vishnu [2 ,9 ]
Chinnakotla, Akhil [2 ]
Goel, Abhinav [2 ]
Tung, Caleb [2 ]
Kao, Gore [2 ]
Zakharov, Wei [2 ,10 ]
Shoham, David A. A.
Thiruvathukal, George K. K.
Lu, Yung-Hsiang [2 ]
机构
[1] Brown Univ, BrainGate lab, Providence, RI 02912 USA
[2] Purdue Univ, W Lafayette, IN 47907 USA
[3] Zebra Technol, Lincolnshire, IL 60069 USA
[4] MITRE, San Diego, CA 92106 USA
[5] Columbia Univ, Comp Sci, New York, NY 10027 USA
[6] Univ Southern Calif, Appl Data Sci, Los Angeles, CA 90089 USA
[7] AMD, W Lafayette, IN 47906 USA
[8] Graviton Res Capital, Gurgaon 122002, Haryana, India
[9] Apple, San Francisco, CA 94108 USA
[10] Sch Informat Studies, W Lafayette, IN 47907 USA
[11] Indian Inst Technol Madras, Chennai, India
关键词
COVID-19; Visualization;
D O I
10.1109/MC.2022.3175751
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:59 / 69
页数:11
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