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Infectious Probability Analysis on COVID-19 Spreading with Wireless Edge Networks. (arXiv:2210.02017v1 [cs.SI])
Oct. 6, 2022, 1:20 a.m. | Xuran Li, Shuaishuai Guo, Hong-Ning Dai, Dengwang Li
cs.CR updates on arXiv.org arxiv.org
The emergence of infectious disease COVID-19 has challenged and changed the
world in an unprecedented manner. The integration of wireless networks with
edge computing (namely wireless edge networks) brings opportunities to address
this crisis. In this paper, we aim to investigate the prediction of the
infectious probability and propose precautionary measures against COVID-19 with
the assistance of wireless edge networks. Due to the availability of the
recorded detention time and the density of individuals within a wireless edge
network, we …
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