A Guide to Benchmarking COVID-19 Performance Data

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

52 Scopus Citations
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Author(s)

  • Bert George
  • Bram Verschuere
  • Ellen Wayenberg
  • Bishoy Louis Zaki

Detail(s)

Original languageEnglish
Pages (from-to)696-700
Journal / PublicationPublic Administration Review
Volume80
Issue number4
Online published31 May 2020
Publication statusPublished - Jul 2020
Externally publishedYes

Abstract

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.

Citation Format(s)

A Guide to Benchmarking COVID-19 Performance Data. / George, Bert; Verschuere, Bram; Wayenberg, Ellen et al.
In: Public Administration Review, Vol. 80, No. 4, 07.2020, p. 696-700.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review