Identifying the Superspreader in Proactive Backward Contact Tracing by Deep Learning

2022 56th Annual Conference on Information Sciences and Systems (CISS)(2022)

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摘要
The goal of proactive contact tracing is to diminish the spread of an epidemic by means of contact tracing mobile apps and big data analysis. Finding superspreaders as has been used in Japan and Australia during the early days of the COVID-19 pandemic has proven effective as backward contact tracing can pick up infections that might otherwise be missed. In this paper, we formulate a proactive cont...
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关键词
Deep learning,COVID-19,Maximum likelihood estimation,Pandemics,Network topology,Supervised learning,Graph neural networks
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