Accounting for Uncertainty During a Pandemic

2020/06/15 by Zelner, Jon, Riou, Julien, Etzioni, Ruth +1 · 1 citation
#Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM)

paper · doi:10.48550/arxiv.2006.08745

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.

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