Communication of Statistics and Evidence in Times of Crisis

IF 7.4 1区数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Annual Review of Statistics and Its Application Pub Date : 2023-11-29 DOI:10.1146/annurev-statistics-040722-052011

Claudia R. Schneider, John R. Kerr, Sarah Dryhurst, John A.D. Aston

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引用次数: 0

Abstract

This review provides an overview of concepts relating to the communication of statistical and empirical evidence in times of crisis, with a special focus on COVID-19. In it, we consider topics relating to both the communication of numbers, such as the role of format, context, comparisons, and visualization, and the communication of evidence more broadly, such as evidence quality, the influence of changes in available evidence, transparency, and repeated decision-making. A central focus is on the communication of the inherent uncertainties in statistical analysis, especially in rapidly changing informational environments during crises. We present relevant literature on these topics and draw connections to the communication of statistics and empirical evidence during the COVID-19 pandemic and beyond. We finish by suggesting some considerations for those faced with communicating statistics and evidence in times of crisis.Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 11 is March 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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危机时期的统计和证据传播

本综述概述了与危机时期统计和经验证据传播相关的概念，特别关注2019冠状病毒病。在其中，我们考虑了与数字交流相关的主题，如格式、背景、比较和可视化的作用，以及更广泛的证据交流，如证据质量、现有证据变化的影响、透明度和重复决策。中心的重点是传播统计分析中固有的不确定性，特别是在危机期间迅速变化的信息环境中。我们介绍了有关这些主题的相关文献，并将其与COVID-19大流行期间和之后的统计数据和经验证据交流联系起来。最后，我们为那些在危机时期面临统计数据和证据沟通的人提出了一些考虑。预计《统计年鉴及其应用》第11卷的最终在线出版日期为2024年3月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annual Review of Statistics and Its Application MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY

CiteScore

13.40

自引率

1.30%

发文量

期刊介绍： The Annual Review of Statistics and Its Application publishes comprehensive review articles focusing on methodological advancements in statistics and the utilization of computational tools facilitating these advancements. It is abstracted and indexed in Scopus, Science Citation Index Expanded, and Inspec.