Skip to main content

Organising knowledge to prevent global health crises: a comparative analysis of pandemic preparedness indicators

Countries
World
Sources
BMJ
Publication date
Origin
View original

Alexander Kentikelenis, Leonard Seabrooke

Abstract

Preparing for the possibility of a global pandemic presents a transnational organisational challenge: to assemble and coordinate knowledge over institutionally diverse countries with high fidelity. The COVID-19 pandemic has laid these problems bare. This article examines the construction of the three main cross-national indicators of pandemic preparedness: a database with self-reported data by governments, external evaluations organised by the WHO and a global ranking known as the Global Health Security Index. Each of these presents a different model of collecting evidence and organising knowledge: the collation of self-reports by national authorities; the coordination of evaluation by an epistemic community authorised by an intergovernmental organisation and on the basis of a strict template; and the cobbling together of different sources into a common indicator by a transnational multi-stakeholder initiative. We posit that these models represent different ways of creating knowledge to inform policy choices, and each has different forms of potential bias. In turn, this shapes how policymakers understand what is ‘best practice’ and appropriate policy in pandemic preparedness.

Summary box

  • Three cross-national indicators—self-reporting by governments, WHO-run expert evaluations and the privately run Global Health Security Index—have tried to quantify the degree of health emergency preparedness, and they reflect different systems of organising knowledge.

  • These indicators shape what is visible and legible to policy audiences, and influence a range of other actors, including donors, media and the global health community.

  • There is a potential bias in the construction of indicators arising from political gaming, groupthink in expert groups and blind spots in data selection.

  • Our framework emphasises trade-offs between the development of pandemic preparedness indicators by governmental authorities or independent expert networks.

  • Global health policy debates in the aftermath of the COVID-19 pandemic need to consider the limitations of different measurement approaches that seek to capture health emergency preparedness.