ArticleExpert systems with applications2022
A network Data Envelopment Analysis to estimate nations' efficiency in the fight against SARS-CoV-2.
Article in Expert systems with applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Hospital efficiency in the eastern mediterranean region: A systematic review and meta-analysis.Frontiers in public health · 2023Pooled it
- Comparative efficiency of Asian surgical systems in COVID-19 response: a multi-level longitudinal benchmarking study.BMJ public health · 2026Article
- Assessing the performance of Portuguese public hospitals before and during COVID-19 outbreak, with optimistic and pessimistic benchmarking approaches.Health care management science · 2025Article
- Enhancing Efficiency in Multi-Stage Pharmaceutical Manufacturing: A Process-Based Network DEA Approach.F1000Research · 2025Article
- How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.Frontiers in public health · 2025Article
- Measuring influencing factors affecting mortality rates during the COVID-19 pandemic.Global health action · 2024Article
- Adapting Efficiency Analysis in Health Systems: A Scoping Review of Data Envelopment Analysis Applications During the COVID-19 Pandemic.Journal of market access & health policy · 2024Article
- Efficiency of Primary Health Services in the Greek Public Sector: Evidence from Bootstrapped DEA/FDH Estimators.Healthcare (Basel, Switzerland) · 2024Article
- Efficiency evaluation of 28 health systems by MCDA and DEA.Health economics review · 2024Article
- Comprehensive intuitionistic fuzzy network data envelopment analysis incorporating undesirable outputs and shared resources.MethodsX · 2024Article
- Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model.Frontiers in public health · 2024Article
- Non-homogeneity in the efficiency evaluation of health systems.BMC health services research · 2023Article
- Predictors of all-cause mortality in hospitalized COVID-19 patients taking corticosteroids: a multicenter retrospective cross-sectional study.Annals of medicine and surgery (2012) · 2023Article
- Coping with COVID: Performance of China's hierarchical medical system during the COVID-19 pandemic.Frontiers in public health · 2023Article
- Exploring the Role of Industry 4.0 and Simulation as a Solution to the COVID-19 Outbreak: a Literature Review.Procedia computer science · 2023Article
- A network Data Envelopment Analysis to estimate nations' efficiency in the fight against SARS-CoV-2.Expert systems with applications · 2022Article
- Planning feasible and efficient operational scenarios for a university hospital through multimethodology.Socio-economic planning sciences · 2022Article
- Surgical capacity, productivity and efficiency at the district level in Sub-Saharan Africa: A three-country study.PloS one · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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