  How to contain the spread of the COVID-19 virus is a major concern for most
countries. As the situation continues to change, various countries are making
efforts to reopen their economies by lifting some restrictions and enforcing
new measures to prevent the spread. In this work, we review some approaches
that have been adopted to contain the COVID-19 virus such as contact tracing,
clusters identification, movement restrictions, and status validation.
Specifically, we classify available techniques based on some characteristics
such as technology, architecture, trade-offs (privacy vs utility), and the
phase of adoption. We present a novel approach for evaluating privacy using
both qualitative and quantitative measures of privacy-utility assessment of
contact tracing applications. In this new method, we classify utility at three
(3) distinct levels: no privacy, 100% privacy, and at k where k is set by the
system providing the utility or privacy.
