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Developing a Data Envelopment Analysis (DEA) Model to Evaluate the Performance of Countries ‘Healthcare System during Corona Virus Pandemic’

Sadrmomtaz, Nadia | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54422 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Khedmati, Majid
  7. Abstract:
  8. Since the start of Covid-19 pandemic lately in 2019 from Wuhan in China, a lot of countries encountered it. Healthcare sysytems are the most important system against pandemics so it is needed to measure the efficiency of healthcare systems against Covid-19 in order to find best practices. In this research, a 3-phased method is proposed to evaluate the performance of the healthcare systems. In the first phase, countries are clustered, in the second phase the DEA model is applied in 2 separate parts, in one part with considering clusters and in another without it. In the third phase resilience is introduced for Covid-19 and then it is used as a criterion beside two other criteria, DEA result and cluster DEA result in Analytic Hierarchy Process (AHP), one of the Multi-Criteria Decision Making (MCDM) methods. The results rank countries in 14 levels then according to the high level of correlation between some parameters, some of them are removed and a new parameter, Total vaccination, are used in the second stage and this procedure is repeated. Finally results are campared and analyzed. The results show China, Fiji, Kyrgyzstan, Seychelles, and Tanzania have the best performance, and Haiti and Hungry and Chille have the worth performance and Iran has the middle one. Countries with the best performance are considered as best practices and some of their strategies during the Covid-19 pandemic are explained in 6 categories
  9. Keywords:
  10. Health Care System ; COVID-19 ; Community Resilience ; Performance Evaluation ; Clustering ; Data Envelopment ; Analytical Hierarchy Process (AHP)

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