An Analysis Study in OECD Countries on Pediatric Vaccines and Their Effects with Cluster Analysis and Multiple Regression Technique
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Keywords:
Clustering, Multidimensional Scaling Analysis, OECD Countries, Child Vaccination Rates, Multiple Linear Regression AnalysisAbstract
In the study, Turkey's position in this field was examined children vaccination rates between the
years 2000-2017 in the OECD countries by taking clustering technique. Data were tested by non
hierarchical clustering method. Then it was analyzed by multi-dimensional scaling. According to the results
of clustering, countries are grouped into 3 groups. The relationship between the results obtained and the
development level of the countries are analyzed. As a result, clustering occurred between countries with
distant values. In a multidimensional scaling analysis, child mortality data in Turkey in 2017 are used as
the dependent variable. Health spending, Gdp, diphtheria, measles and hepatitis-b vaccination rates have
been determined as impact factors. Purpose in the second analysis is to see to what extent these vaccines
and a few variables affect and to put it numerically to the infant mortality rate in Turkey by looking at the
obtained stress values.
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