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.
- DSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problem
ASJC Scopus subject areas
- Decision Sciences(all)