WLAN-log-based superspreader detection in the COVID-19 pandemic
Identifying “superspreaders” of disease is a pressing concern for society during pandemics such as COVID-19. Superspreaders represent a group of people who have much more social contacts than others. The widespread deployment of WLAN infrastructure enables non-invasive contact tracing via people’s u...
Main Authors: | Cheng Zhang, Yunze Pan, Yunqi Zhang, Adam C. Champion, Zhaohui Shen, Dong Xuan, Zhiqiang Lin, Ness B. Shroff |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-06-01
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Series: | High-Confidence Computing |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667295221000064 |
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