LOG-LINEER MODEL YAKLAŞIMI ILE COVID-19 VERISI ÜZERINE BİR ÇALIŞMA

Araştırmacılar, yeni koronavirüs (COVID-19) hastalığı üzerindeki önemli değişkenleri araştırmak için çeşitli çalışmalar yaptılar. Fakat, COVID-19 hastalığını etkileyen değişkenler arasındaki etkileşimi incelemek için doğrudan bir araştırma yoktur. Bu çalışmada, ülke, cinsiyet ve yaş değişkenleri arasındaki önemli etkileşimleri incelemek için log-lineer modeller kullanılmıştır. Çalışmanın sonucunda, ülke, cinsiyet ve yaş ana etkenlerinin istatistiksel olarak anlamlı bulunduğunu göstermektedir. Aynı zamanda cinsiyet ve ülke ve ülke ile yaş arasındaki iki yönlü etkileşimler istatistiksel olarak anlamlı bulunmuştur. Parametre tahmin değerlerinden elde edilen sonuçlara göre, Çin'de COVID-19 hastalığına yakalanma riski, Güney Kore'de COVID-19 hastalığına yakalanma riskinden 1,7 kat daha yüksek ve erkek bireylerin COVID-19 hastalığına yakalanma riski, kadın bireylerin hastalığa yakalanma riskinden 1,2 kat daha yüksektir. Ayrıca 41-60 yaş grubundaki bireyler 70 ve üzeri yaş grubuna göre daha yüksek risk taşımaktadır sonucuna ulaşılmıştır. Çalışmanın sonuçlarının, COVID-19 hastalığının yayılmasını azaltmak için yardımcı olacağına inanıyoruz

A STUDY ON COVID-19 DATA WITH LOG-LINEAR MODEL APPROACH

The researchers have done several studies to explore the important variables on the novel coronavirus (COVID-19) disease. However, there is no direct research to examine the interaction between the variables affecting the COVID-19 disease. In this study, the log-linear models are used to explore the significant interactions between the country, gender and age variables. Empirical findings of the presented study show that the main effects are found statistically significant for country, gender and age variables. The two-way interactions between the gender and country and between the interaction of the country and age are found statistically significant. The risk of the China for catching the COVID-19 disease is 1.7 times higher than the risk of the South Korea for catching the COVID-19 disease. The risk of male individuals is 1.2 times higher than the risk of female individuals for catching the COVID-19 disease. Additionally, the individuals having the 41-60 age group has higher risk than the individuals having 70 and above age group. We believe that the empirical results of the presented study will be helpful to the policymakers for decreasing the spread of the COVID-19 disease.

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Mugla Journal of Science and Technology-Cover

ISSN: 2149-3596
Yayın Aralığı: Yılda 2 Sayı
Başlangıç: 2015
Yayıncı: Muğla Sıtkı Koçman Üniversitesi Fen Bilimleri Enstitüsü

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