A Guide to Benchmarking COVID-19 Performance Data

• 成果类型: Article
• 署名作者: George, Bert; Verschuere, Bram; Wayenberg, Ellen; Zaki, Bishoy Louis
• 署名单位: Ghent University; Ghent University; Ghent University; Ghent University
• 刊物名称: PUBLIC ADMINISTRATION REVIEW
• ISSN/ISSBN: 0033-3352
• DOI: 10.1111/puar.13255
• 发表日期: 2020
• 页码: 696-700
• 关键词: information

摘要

If the COVID-19 pandemic has taught us anything, it is that policy makers, experts, and public managers need to be capable of interpreting comparative data on their government's performance in a meaningful way. Simultaneously, they are confronted with different data sources (and measurements) on COVID-19 without necessarily having the tools to assess these sources strategically. Because of the speed with which decisions are required and the different data sources, it can be challenging for any policy maker, expert, or public manager to make sense of how COVID-19 has an impact, especially from a comparative perspective. Starting from the question How can we benchmark COVID-19 performance data across countries?, this article presents important indicators, measurements, and their strengths and weaknesses, and concludes with practical recommendations. These include a focus on measurement equivalence, systems thinking, spatial and temporal thinking, multilevel governance, and multimethod designs.