Assessment of Selected European and Asian Countries COVID-19 Statuses Using Entropy and MAUT Methods
Abstract
Purpose of this study is to assess selected European and Asian countries COVID-19 statuses by using Entropy and Multi Attribute Utility Theory (MAUT) Multi Criteria Decision Making methods. Data for the research is collected from Our World in Data databases as of April 15th, 2021. In line with the literature, fourteen criteria are selected to make the assessment. Entropy method is used for objectively weighting the criteria that returned following order: population density (15.6%), people fully vac-cinated per hundred (12.1%), total tests per thousand (10.2%), diabetes prevalence (8.9%), positive rate (8.5%), cardiovascular death rate (8.3%), total deaths per million (7.3%), people vaccinated per hundred (6.1%), total cases per million (5.2%), hospital beds per thousand (4.7%), nurses and mid-wives per thousand (4.1%), stringency index (3.4 %), medical Dr. per thousand (3.1%) and share of the population that is 65 years and older (2.6%). After processing countries by using MAUT method with the criteria weights obtained, first five countries are found to be Bahrain, Serbia, Slovakia, Israel and Slovenia, last five countries are Malaysia, Norway, Japan, Finland and South Korea. Implications of the results are discussed and future research areas are suggested.
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