Zelner, JonJonZelnerRiou, Julien YannisJulien YannisRiouEtzioni, RuthRuthEtzioniGelman, AndrewAndrewGelman2024-09-022024-09-022021-08-13https://boris-portal.unibe.ch/handle/20.500.12422/43582We 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.en600 - Technology::610 - Medicine & health300 - Social sciences, sociology & anthropology::360 - Social problems & social servicesAccounting for uncertainty during a pandemic.article10.48350/1590903440515510.1016/j.patter.2021.100310