A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2

The ongoing outbreak of SARS-CoV-2 has been deeply impacting health systems worldwide. In this context, it is pivotal to measure the efficiency of different nations’ response to the pandemic, whose insights can be used by governments and health authorities worldwide to improve their national COVID-1...

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Published in:Expert Systems with Applications
Main Authors: Pereira, Miguel Alves, Dinis, Duarte Caldeira, Ferreira, Diogo Cunha, Figueira, José Rui, Marques, Rui Cunha
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:http://hdl.handle.net/10400.5/29088
https://doi.org/10.1016/j.eswa.2022.118362
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spelling ftunivtecnical:oai:www.repository.utl.pt:10400.5/29088 2023-11-12T04:19:29+01:00 A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2 Pereira, Miguel Alves Dinis, Duarte Caldeira Ferreira, Diogo Cunha Figueira, José Rui Marques, Rui Cunha 2022-12-30 http://hdl.handle.net/10400.5/29088 https://doi.org/10.1016/j.eswa.2022.118362 eng eng info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEGE-OGE%2F30546%2F2017/PT info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00097%2F2020/PT info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F149283%2F2019/PT info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT http://hdl.handle.net/10400.5/29088 doi:10.1016/j.eswa.2022.118362 openAccess Data Envelopment Analysis Simulation Series structure SARS-CoV-2 Efficiency measurement article 2022 ftunivtecnical https://doi.org/10.1016/j.eswa.2022.118362 2023-10-25T00:04:48Z The ongoing outbreak of SARS-CoV-2 has been deeply impacting health systems worldwide. In this context, it is pivotal to measure the efficiency of different nations’ response to the pandemic, whose insights can be used by governments and health authorities worldwide to improve their national COVID-19 strategies. Hence, we propose a network Data Envelopment Analysis (DEA) to estimate the efficiencies of fifty-five countries in the current crisis, including the thirty-seven Organisation for Economic Co-operation and Development (OECD) member countries, six OECD prospective members, four OECD key partners, and eight other countries. The network DEA model is designed as a general series structure with five single-division stages – population, contagion, triage, hospitalisation, and intensive care unit admission –, and considers an output maximisation orientation, denoting a social perspective, and an input minimisation orientation, denoting a financial perspective. It includes inputs related to health costs, desirable and undesirable intermediate products related to the use of personal protective equipment and infected population, respectively, and desirable and undesirable outputs regarding COVID-19 recoveries and deaths, respectively. To the best of the authors’ knowledge, this is the first study proposing a cross-country efficiency measurement using a network DEA within the context of the COVID-19 crisis. The study concludes that Estonia, Iceland, Latvia, Luxembourg, the Netherlands, and New Zealand are the countries exhibiting higher mean system efficiencies. Their national COVID-19 strategies should be studied, adapted, and used by countries exhibiting worse performances. In addition, the observation of countries with large populations presenting worse mean efficiency scores is statistically significant. info:eu-repo/semantics/publishedVersion Article in Journal/Newspaper Iceland Technical University of Lisbon: UTL Repository New Zealand Expert Systems with Applications 210 118362
institution Open Polar
collection Technical University of Lisbon: UTL Repository
op_collection_id ftunivtecnical
language English
topic Data Envelopment Analysis
Simulation
Series structure
SARS-CoV-2
Efficiency measurement
spellingShingle Data Envelopment Analysis
Simulation
Series structure
SARS-CoV-2
Efficiency measurement
Pereira, Miguel Alves
Dinis, Duarte Caldeira
Ferreira, Diogo Cunha
Figueira, José Rui
Marques, Rui Cunha
A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2
topic_facet Data Envelopment Analysis
Simulation
Series structure
SARS-CoV-2
Efficiency measurement
description The ongoing outbreak of SARS-CoV-2 has been deeply impacting health systems worldwide. In this context, it is pivotal to measure the efficiency of different nations’ response to the pandemic, whose insights can be used by governments and health authorities worldwide to improve their national COVID-19 strategies. Hence, we propose a network Data Envelopment Analysis (DEA) to estimate the efficiencies of fifty-five countries in the current crisis, including the thirty-seven Organisation for Economic Co-operation and Development (OECD) member countries, six OECD prospective members, four OECD key partners, and eight other countries. The network DEA model is designed as a general series structure with five single-division stages – population, contagion, triage, hospitalisation, and intensive care unit admission –, and considers an output maximisation orientation, denoting a social perspective, and an input minimisation orientation, denoting a financial perspective. It includes inputs related to health costs, desirable and undesirable intermediate products related to the use of personal protective equipment and infected population, respectively, and desirable and undesirable outputs regarding COVID-19 recoveries and deaths, respectively. To the best of the authors’ knowledge, this is the first study proposing a cross-country efficiency measurement using a network DEA within the context of the COVID-19 crisis. The study concludes that Estonia, Iceland, Latvia, Luxembourg, the Netherlands, and New Zealand are the countries exhibiting higher mean system efficiencies. Their national COVID-19 strategies should be studied, adapted, and used by countries exhibiting worse performances. In addition, the observation of countries with large populations presenting worse mean efficiency scores is statistically significant. info:eu-repo/semantics/publishedVersion
format Article in Journal/Newspaper
author Pereira, Miguel Alves
Dinis, Duarte Caldeira
Ferreira, Diogo Cunha
Figueira, José Rui
Marques, Rui Cunha
author_facet Pereira, Miguel Alves
Dinis, Duarte Caldeira
Ferreira, Diogo Cunha
Figueira, José Rui
Marques, Rui Cunha
author_sort Pereira, Miguel Alves
title A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2
title_short A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2
title_full A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2
title_fullStr A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2
title_full_unstemmed A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2
title_sort network data envelopment analysis to estimate nations’ efficiency in the fight against sars-cov-2
publishDate 2022
url http://hdl.handle.net/10400.5/29088
https://doi.org/10.1016/j.eswa.2022.118362
geographic New Zealand
geographic_facet New Zealand
genre Iceland
genre_facet Iceland
op_relation info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEGE-OGE%2F30546%2F2017/PT
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00097%2F2020/PT
info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F149283%2F2019/PT
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
http://hdl.handle.net/10400.5/29088
doi:10.1016/j.eswa.2022.118362
op_rights openAccess
op_doi https://doi.org/10.1016/j.eswa.2022.118362
container_title Expert Systems with Applications
container_volume 210
container_start_page 118362
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