Holistic Resilience Index: measuring the expected country resilience to pandemic.

Pileggi, SF

Holistic Resilience Index: measuring the expected country resilience to pandemic.

Pileggi, SF

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: Qual Quant, 2022, pp. 1-21
Issue Date:: 2022-01-20

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Field	Value	Language
dc.contributor.author	Pileggi, SF
dc.date.accessioned	2022-11-01T23:08:41Z
dc.date.available	2021-12-07
dc.date.available	2022-11-01T23:08:41Z
dc.date.issued	2022-01-20
dc.identifier.citation	Qual Quant, 2022, pp. 1-21
dc.identifier.issn	0033-5177
dc.identifier.issn	1573-7845
dc.identifier.uri	http://hdl.handle.net/10453/163124
dc.description.abstract	This study aims to holistically measure the expected resilience of the different countries to a global pandemic like COVID-19. The proposed indicator has been designed looking at the direct and indirect impact of the COVID-19 pandemic on our society at different levels, including health and socio-economic aspects. More concretely, the resulting index has been produced by combining 11 different indicators grouped in five categories. It is actually composed of two sub-indicators that aim to measure the expected resilience according, respectively, to the data available in a given moment and to a period of development. The former sub-indicator depends on the actual values of the underpinning indicators, while the latter takes into account only their variation in a given time. In this paper we address 22 countries among the most affected by COVID-19, looking at recent pre-pandemic data and at the development in the past 20 years. As expected, the combination of the two methods determines contrasting results but also a more comprehensive analysis framework. As part of the lesson learnt, we do expect countries to prioritise the increasing of their holistic resilience to situations of pandemic.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Qual Quant
dc.relation.isbasedon	10.1007/s11135-021-01296-3
dc.rights	This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11135-021-01296-3
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0104 Statistics, 1608 Sociology, 1701 Psychology
dc.subject.classification	Social Sciences Methods
dc.title	Holistic Resilience Index: measuring the expected country resilience to pandemic.
dc.type	Journal Article
utslib.location.activity	Netherlands
utslib.for	0104 Statistics
utslib.for	1608 Sociology
utslib.for	1701 Psychology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-12-01T00:00:00+1000Z
dc.date.updated	2022-11-01T23:08:35Z
pubs.publication-status	Published online

Abstract:

This study aims to holistically measure the expected resilience of the different countries to a global pandemic like COVID-19. The proposed indicator has been designed looking at the direct and indirect impact of the COVID-19 pandemic on our society at different levels, including health and socio-economic aspects. More concretely, the resulting index has been produced by combining 11 different indicators grouped in five categories. It is actually composed of two sub-indicators that aim to measure the expected resilience according, respectively, to the data available in a given moment and to a period of development. The former sub-indicator depends on the actual values of the underpinning indicators, while the latter takes into account only their variation in a given time. In this paper we address 22 countries among the most affected by COVID-19, looking at recent pre-pandemic data and at the development in the past 20 years. As expected, the combination of the two methods determines contrasting results but also a more comprehensive analysis framework. As part of the lesson learnt, we do expect countries to prioritise the increasing of their holistic resilience to situations of pandemic.

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http://hdl.handle.net/10453/163124