ArticleFrontiers in public health
Global Healthcare Resource Efficiency in the Management of COVID-19 Death and Infection Prevalence Rates.
Article in Frontiers in public health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- Augmenting healthcare systems for pandemic preparedness: a Lean Six Sigma perspective.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026Review
- What drives urban pandemic control performance in China? A configurational analysis of the resource-performance paradox.Frontiers in public health · 2026Article
- Efficiency in COVID-19 inpatient care: findings from public hospitals in Iran.Health economics review · 2025Article
- Regional disparities, dynamic evolution, and spatial spillover effects of medical resource allocation efficiency in TCM hospitals.Cost effectiveness and resource allocation : C/E · 2025Article
- Assessing the performance of Portuguese public hospitals before and during COVID-19 outbreak, with optimistic and pessimistic benchmarking approaches.Health care management science · 2025Article
- 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
- Measuring efficiency of public hospitals under the impact of Covid-19: the case of Türkiye.Cost effectiveness and resource allocation : C/E · 2023Article
- The effectiveness of COVID deaths to COVID policies: A robust conditional approach.Economic analysis and policy · 2023Article
- Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa.Health economics review · 2023Article
- A Dynamic DEA Analysis of Health Output Efficiencies of Cities and Counties in Taiwan.International journal of environmental research and public health · 2023Article
- Article
- Assessing the impact of COVID-19 on the efficiency of Portuguese state-owned enterprise hospitals.Socio-economic planning sciences · 2022Article
- Editorial: Does healthcare financing explain different healthcare system performances and responses to COVID-19?Frontiers in public health · 2022Article
- Article
- Physical Activity Behavior During and After COVID-19 Stay-at-Home Orders-A Longitudinal Study in the Austrian, German, and Italian Alps.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The scale of impact of the COVID-19 pandemic on society and the economy globally provides a strong incentive to thoroughly analyze the efficiency of healthcare systems in dealing with the current pandemic and to obtain lessons to prepare healthcare systems to be better prepared for future pandemics. In the absence of a proven vaccine or cure, non-pharmaceutical interventions including social distancing, testing and contact tracing, isolation, and wearing of masks are essential in the fight against the worldwide COVID-19 pandemic. We use data envelopment analysis and data compiled from Worldometers and The World Bank to analyze how efficient the use of resources were to stabilize the rate of infections and minimize death rates in the top 36 countries that represented 90% of global infections and deaths out of 220 countries as of November 11, 2020. This is the first paper to model the technical efficiency of countries in managing the COVID-19 pandemic by modeling death rates and infection rates as undesirable outputs using the approach developed by You and Yan. We find that the average efficiency of global healthcare systems in managing the pandemic is very low, with only six efficient systems out of a total of 36 under the variable returns to scale assumption. This finding suggests that, holding constant the size of their healthcare systems (because countries cannot alter the size of a healthcare system in the short run), most of the sample countries showed low levels of efficiency during this time of managing the pandemic; instead it is suspected that most countries literally "threw" resources at fighting the pandemic, thereby probably raising inefficiency through wasted resource use.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.