SPATIAL DIFFERENTIATION OF COVID-19 IN TURKEY

Year 2023, , 747 - 763, 30.11.2023

Neşe Aral , Hasan Bakır

https://doi.org/10.53092/duiibfd.1243565

Abstract

The sudy aims to focus on spatial transmission of Covid-19 in Turkey, to understand the channels through which it spreads by considering the regional socio-economic dimension. Within this scope, demographic, socioeconomic and healthcare factors associated with the spread of Covid-19 were analyzed in a provincial context. Spatial autocorrelation was used to examine parameters that spatially affect the number of cases. Spatial autocorrelation results reveal spatial differences in the spread of the pandemic. The findings highlight the importance of the space factor in reducing local contamination within the country. The results obtained will enable the discovery of risk factors for disease and will lead policy makers to make effective decisions. In this context, spatial-specific policy strategies will protect public health by reducing the spread of the virus.

Keywords

Covid-19, Turkey, Spatial Data Analysis

TÜRKİYE'DE COVID-19’UN MEKÂNSAL FARKLILIKLARI

Abstract

Bu çalışma, Türkiye'de Covid-19’un bölgesel dağılımına odaklanmayı, sosyo-ekonomik boyutu da dikkate alarak Covid-19’un yayılımını anlamayı amaçlamaktadır. Bu kapsamda, Covid-19’un yayılmasıyla ilişkili demografik, sosyoekonomik ve sağlık faktörleri il bazında analiz edilmiştir. Vaka sayılarını mekânsal olarak etkileyen parametreleri incelemek için mekânsal otokorelasyon kullanılmıştır. Elde edilen sonuçlar, pandeminin yayılmasındaki mekânsal farklılıkları ortaya koymaktadır. Bulgular, ülke içindeki yerel yayılımı azaltmada mekân faktörünün önemini vurgulamaktadır. Elde edilen sonuçlar risk faktörlerinin keşfedilmesini sağlayarak politika yapıcıların etkin karar almalarına yol açacaktır. Bu bağlamda mekâna özgü uygulanacak politika stratejileri ile virüsün yayılımı azaltılarak kamu sağlığı korunacaktır.

Keywords

Covid-19, Mekansal Veri Analizi, Türkiye

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