Global Healthcare Resource Efficiency in the Management of Covid-19 Death and Infection Prevalence Rates
Bibliographic Data
| ID | 22080464 |
|---|---|
| Authors | Marthinus C Breitenbach (0000-0003-4623-2379, University of Pretoria, corresponding author), Victor Ngobeni (0000-0002-0502-2634, National Treasury), Goodness C Aye (0000-0001-8696-7826, University of Pretoria) |
| Year | 2021 |
| Volume | 9 |
| Pages | 638481-638481 |
| Publication date | 2021-04-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.638481 |
| PMID | 33996718 |
| OpenAlex | W3115671672 |
| Language | EN |
| Citations received | 6 |
| References cited | 37 |
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
Biology · Business · Developing country · Disease · Economic growth · Economics · Geography · Global health · Health care · Healthcare system · Incentive · Pandemic · Psychological intervention · Social distance · Efficiency Analysis Using DEA · Global Health Care Issues · Healthcare Systems and Reforms · Medicine · Nursing
Production and scale efficiency of South African water utilities
A Dynamic DEA Analysis of Health Output Efficiencies of Cities and Counties in Taiwan
What drives urban pandemic control performance in China? A configurational analysis of the resource-performance paradox
Physical Activity Behavior During and After Covid-19 Stay-at-Home Orders—A Longitudinal Study in the Austrian, German, and Italian Alps
Efficiency Analysis of Middle-Income Countries in Terms of Health Indicators for the Covid Process
Measuring and explaining efficiency of pre-vaccine country responses to Covid-19 pandemic
Data Envelopment Analysis
An application procedure for DEA
Modeling undesirable factors in efficiency evaluation
Using data envelopment analysis to measure the extent of technical efficiency of public health centres in Ghana
Multilateral Productivity Comparisons When Some Outputs are Undesirable
Relative efficiency of government expenditure on secondary education
A mathematical programming approach to constructing composite indicators
Efficiency vs Effectiveness
| Citations per year | 1.2 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |