Evidence map›Paper›PMID 41965651›Full record

ArticleBMC health services research2026

Evaluation of COVID-19 policy efficiency in 27 European OECD countries: a data envelopment analysis.

Xiaoyu Tang, Yuhan Lou, Sun Sun, Mevludin Memedi, Ayako Hiyoshi, Scott Montgomery, Wenhua Tian, Yang Cao

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiaoyu TangClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, 70182, Sweden.ORCID http://orcid.org/0009-0005-1725-3404
Yuhan LouSchool of Social Development and Public Policy, Fudan University, Shanghai, 200433, China.ORCID http://orcid.org/0009-0000-2610-5300
Sun SunDepartment of Epidemiology and Global Health, Umeå University, Umeå, 90187, Sweden.ORCID http://orcid.org/0000-0001-5948-3025
Mevludin MemediCollege of Business, Alfaisal University, Riyadh, 11533, Saudi Arabia.ORCID http://orcid.org/0000-0002-2372-4226
Ayako HiyoshiClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, 70182, Sweden.ORCID http://orcid.org/0000-0002-2088-0530
Scott MontgomeryClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, 70182, Sweden.ORCID http://orcid.org/0000-0001-6328-5494
Wenhua TianSchool of Social Development and Public Policy, Fudan University, Shanghai, 200433, China.ORCID http://orcid.org/0000-0002-4340-9274
Yang CaoClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, 70182, Sweden. yang.cao@oru.se.ORCID http://orcid.org/0000-0002-3552-9153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic compelled governments worldwide to adopt diverse public health and economic policies. However, the relative efficiency of these interventions across European countries has not been comprehensively evaluated. This study assessed the efficiency of COVID-19 policy responses in 27 European countries of the Organization for Economic Co-operation and Development (OECD), with the aim of identifying factors associated with effective pandemic management. The time period of this study is from January 1, 2020 to December 31, 2022.

methodsA data envelopment analysis (DEA) framework was applied to evaluate the efficiency of national responses. Policy inputs, including healthcare resources, economic support, and stringency indices, were assessed against outputs reflecting adverse outcomes, namely COVID-19 cases, mortality, and virus transmission. Data were obtained from the Oxford COVID-19 Government Response Tracker and other publicly available international databases.

resultsMarked heterogeneity in policy efficiency was observed. Countries that implemented early, stringent, and adaptive measures demonstrated superior efficiency scores. Italy, Greece, and Austria consistently ranked among the most efficient, while nations with delayed or inflexible strategies performed less effectively despite comparable resource availability. Importantly, policy flexibility and dynamic adjustment to epidemiological trends emerged as critical determinants of sustained efficiency.

conclusionsThis study provides a robust comparative evaluation of COVID-19 policy efficiency across European OECD countries. The findings emphasize that timeliness of interventions, adaptability of policy measures, and judicious resource allocation were more influential than absolute resource capacity. Incorporating efficiency assessments into pandemic preparedness strategies may enhance resilience and inform evidence-based decision-making for future global health emergencies.

Indexed as

COVID-19Health PolicyOrganisation for Economic Co-Operation and DevelopmentData AnalyticsEuropeHumansPandemicsSARS-CoV-2COVID-19 pandemicData envelopment analysisEfficiencyEvidence-based evaluationHealth policy

Identifiers

PMID41965651
PMCPMC13085466

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.