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...
Published in: | Expert Systems with Applications |
---|---|
Main Authors: | , , , , |
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 |
id |
ftunivtecnical:oai:www.repository.utl.pt:10400.5/29088 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1782335905096269824 |