  We discuss several issues of statistical design, data collection, analysis,
communication, and decision making that have arisen in recent and ongoing
coronavirus studies, focusing on tools for assessment and propagation of
uncertainty. This paper does not purport to be a comprehensive survey of the
research literature; rather, we use examples to illustrate statistical points
that we think are important.
