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.
@article{arxiv.2006.08745,
title = {Accounting for Uncertainty During a Pandemic},
author = {Jon Zelner and Julien Riou and Ruth Etzioni and Andrew Gelman},
journal= {arXiv preprint arXiv:2006.08745},
year = {2020}
}