Accounting for uncertainty during a pandemic.

Zelner, Jon; Riou, Julien; Etzioni, Ruth; Gelman, Andrew · Patterns (N Y) · 2021

Where this comes from

Abstract

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.