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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ftpubmed:oai:pubmedcentral.nih.gov:9355747 2023-05-15T16:51:31+02:00 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 2022-08-06 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355747/ https://doi.org/10.1016/j.eswa.2022.118362 en eng Elsevier Ltd. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355747/ http://dx.doi.org/10.1016/j.eswa.2022.118362 © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. Expert Syst Appl Article Text 2022 ftpubmed https://doi.org/10.1016/j.eswa.2022.118362 2022-08-14T00:36:32Z 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. Text Iceland PubMed Central (PMC) New Zealand Expert Systems with Applications 210 118362 |
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Article 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() |
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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. |
format |
Text |
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() |
publisher |
Elsevier Ltd. |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355747/ https://doi.org/10.1016/j.eswa.2022.118362 |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Expert Syst Appl |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355747/ http://dx.doi.org/10.1016/j.eswa.2022.118362 |
op_rights |
© 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
op_doi |
https://doi.org/10.1016/j.eswa.2022.118362 |
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Expert Systems with Applications |
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210 |
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118362 |
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