Bulut Endeks-Beta Yöntemi İle Küresel Sağlık Güvenlik Endeksinin Karşılaştırılması

Abstract

This study compares Global Health Security Index (GHSI) covering the years 2019 and 2021 with the first, second and third analysis level findings obtained from Bulut Index-Beta (BI-β) method in the context of world, EU and OECD member countries. In this way, it is aimed to demonstrate the applicability of BI-β method by testing it on GHSI datasets, and then to demonstrate the consistency and efficiency of GHSI. For this purpose, nonparametric Spearman rank and Kendall Tau correlation tests were used to test whether the rankings obtained from BI-β and GHSI are statistically different from each other. The secondary objective of this study is to clarify the theoretical framework of the second and third levels of analysis of BI-β method and to write an algorithm in the R programming language to increase applicability of BI-β method. When the findings of the first level of analysis of the world countries in 2021 are analyzed, according to the rank correlation tests, there is a statistically significant positive weak monotonic relationship between BI-β and GHSI rankings. In the second level of analysis for the world countries, there is a statistically significant positive monotonic relationship between BE-β and CGE rankings only in the health and norms categories. When the findings of the third level of analysis of world countries are analyzed by the rank correlation tests, there is a statistically significant monotonic relationship between BI-β and GHSI rankings only in biosafety, biosecurity and immunization decision criteria in prevention category. When OECD and EU countries are analyzed separately for the findings of the first level of analysis in 2021, statistically significant monotonic relationship is not observed between BI-β and GHSI rankings by the rank correlation tests. When the findings of the second level of analysis of OECD countries are evaluated, there is no statistically significant relationship between BI-β and GHSI rankings in all categories. In the second level of analysis of EU countries, there is a statistically significant monotonic relationship between BI-β and GHSI rankings only in norms category. When OECD countries are analyzed at the third level of analysis, there is a statistically significant monotonic relationship between BI-β and GHSI rankings only in biosafety decision criterion in prevention category. When the findings of the third level of analysis of EU countries are evaluated, the relationship between BI-β and GHSI rankings in all decision criteria in prevention category is not statistically significant. It is thought that the results of the study will contribute to making more reliable and inclusive health policy decisions in global health crises by revealing the shortcomings of GHSI.