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Please use this identifier to cite or link to this item: http://hdl.handle.net/11129/5577

Title: Performance Efficiency Evaluation of European Countries Healthcare Systems during the Pandemic (Covid-19) Using the Data Envelopment Analysis
Authors: Daneshvar, Sahand
Opatokun, Ismail Oluwaseyi
Eastern Mediterranean University, Faculty of Engineering, Dept. of Industrial Engineering
Keywords: Industrial Engineering
Performance Efficiency Evaluation-Healthcare Systems-HEalth Sector-Hospitals-Europe
Covid-19 Pandemic-Health System-Europe
Data Envelopment Analysis
DEA
CCR
European
Countries
Healthcare
Efficiency
Gross Domestic Product
Total Population
Covid-19
Tests
Issue Date: Feb-2021
Publisher: Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)
Citation: Opatokun, Ismail Oluwaseyi. (2021).Performance Efficiency Evaluation of European Countries Healthcare Systems during the Pandemic (Covid-19) Using the Data Envelopment Analysis . Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Industrial Engineering, Famagusta: North Cyprus.
Abstract: In this paper, a non-parametric method known as Data Envelopment Analysis was used to analyse the efficiency of the healthcare systems of 48 European countries in managing the covid-19 pandemic. Using the constant returns to scale model of Charnes, Cooper and Rhodes (CCR) on input and output variables like total population, total covid-19 cases, total tests performed, total recoveries etc, the results showed that only 10 out of the 48 countries were optimally efficient in their management of the pandemic with some of the richest countries like France and Belgium being some of the poorest performers. Minimally developed countries like the Czech Republic, Andorra and Moldova were some of the best performers with Moldova being the most referenced optimal country in the benchmark test. It was shown that the inefficient countries like France and Belgium had to reduce the number of cases via distancing and lockdown measures to improve efficiency. The same goes for minimally efficient countries like the United Kingdom. The results finally indicate that developmental indices like gross domestic product (GDP) had an insignificant impact on the efficiency of countries in managing the pandemic as very rich countries were poor performers, although their high populations likely skewed the efficiency ratios in comparison to high performing countries with low populations. Keywords: Data Envelopment Analysis, DEA, CCR, European, Countries, Healthcare, Efficiency, Gross Domestic Product, Total Population, Covid-19, Tests
ÖZ: Bu makalede, Veri Zarflama Analizi olarak bilinen parametrik olmayan bir yöntem, covid-19 pandemisini yönetmede 48 Avrupa ülkesinin sağlık sistemlerinin etkinliğini analiz etmek için kullanılmıştır. Charnes, Cooper ve Rhodes'un (CCR) ölçek modeline göre sabit getiri modelini toplam nüfus, toplam covid-19 vakaları, gerçekleştirilen toplam testler, toplam geri kazanımlar gibi girdi ve çıktı değişkenleri üzerinde kullanarak, sonuçlar 48 ülkeden yalnızca 10'unun Fransa ve Belçika gibi en zengin ülkelerden bazıları en fakir performans gösteren ülkelerden bazıları ile pandemiyi idare etmede en iyi şekilde etkiliydi. Çek Cumhuriyeti, Andorra ve Moldova gibi minimal gelişmiş ülkeler, kıyaslama testinde en çok başvurulan optimal ülke olan Moldova ile en iyi performans gösteren ülkelerden bazılarıydı. Fransa ve Belçika gibi verimsiz ülkelerin verimliliği artırmak için mesafe ve tecrit tedbirleri yoluyla vaka sayısını azaltmak zorunda kaldığı gösterildi. Aynı durum Birleşik Krallık gibi minimum düzeyde verimli ülkeler için de geçerli. Son olarak sonuçlar, gayri safi yurtiçi hasıla (GSYİH) gibi kalkınma endekslerinin, çok zengin ülkeler zayıf performans gösterenler olduğu için, ülkelerin pandemiyi yönetmedeki verimliliği üzerinde önemsiz bir etkiye sahip olduğunu göstermektedir. Anahtar Kelimeler: Veri Zarflama Analizi DEA), CCR, Avrupa, Ülkeler, Sağlık Hizmetleri, Verimlilik, Gayri Safi Yurtiçi Hasıla, Toplam Nüfus, Covid-19, Pandemi, Testler
Description: Master of Science in Industrial Engineering. Institute of Graduate Studies and Research. Thesis (M.S.) - Eastern Mediterranean University, Faculty of Engineering, Dept. of Industrial Engineering, 2021. Supervisor: Assist. Prof. Dr. Sahand Daneshvar.
URI: http://hdl.handle.net/11129/5577
Appears in Collections:Theses (Master's and Ph.D) – Industrial Engineering

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