Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering

Muhammet Oğuzhan Yalçın; Nevin Güler Dincer; Öznur İşçi Güneri

doi:10.17776/csj.969445

EN

Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering

Abstract

The objective of this study is to reveal the COVID19 characteristics of the countries by using time series clustering. Up to now, various studies have been conducted for similar objectives. But, it has been observed that these studies belong to early time of pandemic and are involved limited number of countries. To analyze the characteristic of COVID19 more, this study has considered 111 countries and time period between the 4th of April 2020 and the 1st of January 2021. Fuzzy K-Medoid (FKM) is preferred as clustering method due to its three abilities: i) FKM enables to determine the similarities and differences between the countries in more detail by utilizing the membership degrees, ii) In FKM, cluster centers are selected among from objects in the data set. Thus, it has the ability of detecting the countries which represent the behavior of all countries, iii) FKM is a robust method against to outliers. Thanks to this ability, FKM prevents that the countries exhibiting abnormal behavior negatively affect to the clustering results. At the results of the analyses, it is observed that 111 countries have three different behaviors in terms of confirmed cases and five different behaviors in terms of deaths.

Keywords

References

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Details

Primary Language

English

Subjects

Statistics

Journal Section

Research Article

Authors

Muhammet Oğuzhan Yalçın ^*
0000-0003-4017-5588
Türkiye

Nevin Güler Dincer
0000-0003-0361-1803
Türkiye

Öznur İşçi Güneri
0000-0003-3677-7121
Türkiye

Publication Date

March 30, 2022

Submission Date

July 10, 2021

Acceptance Date

March 5, 2022

Published in Issue

Year 2022 Volume: 43 Number: 1

DOI

https://doi.org/10.17776/csj.969445

IZ

https://izlik.org/JA74PP28UM

Cite

RIS / Bibtex

APA

Yalçın, M. O., Güler Dincer, N., & İşçi Güneri, Ö. (2022). Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering. Cumhuriyet Science Journal, 43(1), 146-164. https://doi.org/10.17776/csj.969445

Cited By

Clustering-based methodology for comparing multi-characteristic epidemiological dynamics with application to COVID-19 epidemiology in Europe

Royal Society Open Science

https://doi.org/10.1098/rsos.250440