10. COVID-19 SALGININDA OECD ÜLKELERİNİN KÜMELEME ANALİZİ

CLUSTER ANALYSIS OF OECD COUNTRIES DURING THE COVID-19 PANDEMIC

Yazarlar

  • Fatma Selen MADENOĞLU Abdullah Gül University

Anahtar Kelimeler:

Cluster Analysis- Hierarchical Cluster- Health Indicators- COVID-19- Non-hierarchical Cluster

Özet

The health situation of countries can be revealed and examined using health indicators. They help determine what future health policies will be implemented and what advancements in the field of health should be undertaken. The success or failure of the struggle against the COVID-19 pandemic are significantly influenced by the health indicators and COVID-19 pandemic indicators of the OECD countries. The goal of the research is to classify Organization for Economic Cooperation and Development (OECD) member countries in accordance with COVID-19 pandemic indicators. The assessments have been made by identifying Türkiye's position within the classification as one of the OECD's founding members. The statistics on health indicators has been compiled using databases from the World Health Organization, OECD, and data.worldbank. A cluster analysis has been used to categorize the countries. The study's findings have demonstrated the effect of the multiple variable evaluation to performance analysis. A hierarchical method and a non-hierarchical method have been applied to cluster the OECD countries considering COVID-19 pandemic indicators. As a result of the two methods, Türkiye was in the same group with France, Germany, Italy, Korea, United Kingdom.

Yayınlanmış

2023-10-14

Nasıl Atıf Yapılır

MADENOĞLU, F. S. (2023). 10. COVID-19 SALGININDA OECD ÜLKELERİNİN KÜMELEME ANALİZİ: CLUSTER ANALYSIS OF OECD COUNTRIES DURING THE COVID-19 PANDEMIC. INTERNATIONAL JOURNAL OF ECONOMIC AND ADMINISTRATIVE ACADEMIC RESEARCH (E-ISSN: 2757-959X), 3(2), 163–180. Geliş tarihi gönderen https://ijerdergisi.com/index.php/ijer/article/view/47

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