EVRENSEL SAĞLIK KAPSAYICILIĞI GÖSTERGELERİNİN KÜMELEME YÖNTEMİ İLE ANALİZİ, OECD ÜLKELERİ ÜZERİNE BİR İNCELEME
Öz
Anahtar Kelimeler
Sürdürülebilir Kalkınma , Evrensel Sağlık Kapsayıcılığı , Kümeleme Analizi.
Kaynakça
- Aytaç, E. (2021). An Alternative Approach in Defining the Similarity of Catchments: Application of Hierarchical Clustering Method. AKU J. Sci. Eng. 21 (2021) 047101. 958-970.
- Bholowalia, P., & Kumar, A. (2014). EBK-means: A clustering technique based on elbow method and k-means in WSN. International Journal of Computer Applications, 105(9), 17-24.
- Cerf, M. E. (2019). Sustainable development goal integration, interdependence, and implementation: The environment–economic–health nexus and UHC. Global Challenges, 3(9), 1900021, 1-6.
- Cetinturk, İ., & Gençturk, M. (2020). The Classification of The Health Expenditure Indicators of OECD Countries Through Clustering Analysis. Süleyman Demirel University Visionary Journal, 11(26), 228-244.
- Civil Society Engagement Mechanism (2019). Why 5% Of GDP, Access date: 2.2,2025 from https://csemonline.net/wp-content/uploads/2019/07/WHY-5-of-GDP-1.pdf.
- Civil Society Engagement Mechanism (2021). What is UHC?. Access date: 2.2,2025. https://csemonline.net/lessons/what-is-universal-health-coverage/.
- Chapman, A. R. (2016). Assessing the UHC target in the sustainable development goals from a human rights perspective. BMC international health and human rights, 16 (33), 1-9.
- Cuhadar, P., & Altin, M. (2023). A Study on the Socio-Economic Effects of the COVID-19 Process with Cluster Analysis. (Ed. S.Karabulut). Analysis of Economic and Financial Applications with Empirical Methods, 47-58. Bursa: Ekin Bookshop.