CHANGING STATUS OF GLOBAL COVID-19 OUTBREAK IN THE WORLD AND IN TURKEY AND CLUSTERING ANALYSIS

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Atıf İçin Kopyala

KARTAL E., Balaban M. E., Bayraktar B.

JOURNAL OF ISTANBUL FACULTY OF MEDICINE-ISTANBUL TIP FAKULTESI DERGISI, cilt.84, sa.1, ss.9-19, 2021 (ESCI)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 84 Sayı: 1
• Basım Tarihi: 2021
• Doi Numarası: 10.26650/iuitfd.2020.0077
• Dergi Adı: JOURNAL OF ISTANBUL FACULTY OF MEDICINE-ISTANBUL TIP FAKULTESI DERGISI
• Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
• Sayfa Sayıları: ss.9-19
• Anahtar Kelimeler: COVID-19, Corona virus, clustering, data mining, descriptive statistics
• İstanbul Üniversitesi Adresli: Evet

Özet

Objective: In this study, it is aimed to provide a dynamic structure to the summary status and analysis results based on the current COVID-19 data of the countries based on changing status of global COVID-19 outbreak in the world and in Turkey; thus, to support fast and proactive decisions. In this scope, to define COVID-19 based on data, an online R-Shiny application is developed (https://elifkartal.shinyapps.io/covid19/).