What is it about?

Covid-19 has impacted world regions differently. This article statistically illustrates these differences and then it shows how coronavirus impact is different in Australia, Mexico, South Africa, South Korea and Spain because of distinct social and economic policies. In some countries, policies have addressed the vulnerabilities of citizens while they have worsened them in others.

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Why is it important?

The research presented below shows that significant regional variance exists in terms of coronavirus risk, based on statistical analysis of the INFORM COVID-19 Risk Report prepared by the European Commission. The PCD analysis highlights important relationships between public policy strategies and the construction of both underlying vulnerabilities and coronavirus impacts. Moreover, the present research focuses on the reconciliation of trade-offs. It shows how policy interactions affect vulnerabilities and suggests that coherent policy strategies aimed at reducing vulnerabilities are necessary in order to adequately respond to the coronavirus pandemic.


This analysis frames vulnerability as a socially constructed condition and through implementation of a PCD approach, it indicates how policy strategies contribute to or mitigate vulnerabilities. In doing so, it intends to contribute conceptually to the literature on vulnerability by showing how policy incoherences contribute to the construction of this condition. Empirically, the originality of this article is its statistical analysis of regional variance of coronavirus risk and the qualitative analysis of policy strategies in representative cases and how they have affected vulnerabilities and coronavirus impacts.

Ph.D. Sergio Moldes-Anaya
Universidad de Granada

Read the Original

This page is a summary of: Addressing COVID through PCD: policy coherence for vulnerability in development and its relationship to the coronavirus pandemic, Equality Diversity and Inclusion An International Journal, February 2021, Emerald,
DOI: 10.1108/edi-08-2020-0253.
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