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Statistical Evaluation of Privacy-preserving Publication and Sharing of Three Types of COVID-19 Pandemic Data: Methods and Case Studies. (arXiv:2106.10339v2 [cs.CR] UPDATED)
June 30, 2022, 1:20 a.m. | Fang Liu, Dong Wang, Tian Yan
cs.CR updates on arXiv.org arxiv.org
A huge amount of data of various types are collected during the COVID-19
pandemic, the analysis and interpretation of which have been indispensable for
curbing the spread of the coronavirus. As the pandemic moves to an endemic
state, the data collected during the pandemic will continue to be rich sources
for further studying and understanding the impacts of the pandemic on various
aspects of our society. On the other hand, na\"{i}ve release and sharing of the
information can be associated …
case case studies covid data pandemic privacy sharing studies
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