The Analysis of Turkey's Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting


ŞENEL F. A.

VIETNAM JOURNAL OF COMPUTER SCIENCE, vol.09, no.01, pp.19-30, 2022 (Journal Indexed in ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 09 Issue: 01
  • Publication Date: 2022
  • Doi Number: 10.1142/s2196888822500051
  • Title of Journal : VIETNAM JOURNAL OF COMPUTER SCIENCE
  • Page Numbers: pp.19-30
  • Keywords: COVID-19, curve fitting, K-means, outbreak, Turkey

Abstract

The COVID-19 is a global disease that occurred at the end of 2019 and it has shown its effects all over the world in a very short time. World Health Organization has mobilized all the countries of the world to survive with minimal damage from this outbreak. The situation in some countries was under control as their health infrastructure is robust enough. On the other hand, many countries suffered significant damage from the outbreak. The countries that have already taken their precautions have suffered less, Turkey is one of the leading countries. Besides taking precautions in advance, countries are guiding each other throughout the outbreak. Therefore, the countries leading the fight against the outbreak should be analyzed and each country should update its precautions to fight the outbreak. In this study, COVID-19 deaths are taken into account and similar countries to Turkey are identified by K-means clustering. Later, by comparing the various characteristics of Turkey with these similar countries, Turkey's status in fighting the outbreak is revealed. The precautions Turkey took before the outbreak showed that Turkey can fight the COVID-19 outbreak successfully.