COVID-19 ve Grafiksel Veri Analizi

Covid-19 salgını 2019 yılının son ayları ile 2020 yılının ilk aylarında tüm dünyanın gündemine hızla giriş yapmıştır. Hastalığın, çıkış noktası kabul edilen Çin’in Wuhan bölgesinden dünyanın diğer bölgelerine ulaşması birkaç ay içinde gerçekleşmiştir. Covid-19 ile ilgili derlenen bilgiler ilk günlerde sayısal tablolar olarak ortaya çıkmıştır. Ancak ilerleyen günler ile birlikte özellikle farklı ülkelerin değerlerinin karşılaştırılması için grafiklere başvurulmuştur. Grafikler verinin genel özelliklerini hedef kitleye iletmede çok etkili araçlardır. Modern teknoloji ile beraber grafik çeşitliliği de artmıştır. Bu çalışmada son 6 ay içerisinde Covid-19 kapsamında kullanılan bazı grafik teknikleri incelenmiştir. Çalışma sonunda özellikle mekânsal analizleri içeren haritaların ve konuya ilişkin farklı bilgileri bir arada aktaran gösterge panosunun tıp araştırmalarında daha fazla kullanılmasının, ileride ortaya çıkabilecek yeni salgın hastalıkların tahmin edilmesinde faydalı olabileceği önerilmiştir.

Anahtar Kelimeler:

Covid19, Gösterge Panosu, Mekânsal Analiz, Çubuk Grafikleri

COVID-19 and Graphical Data Analysis

Covid-19 pandemic made its abrupt start in the world agenda in the last months of 2019 and the first months of 2020. It took merely a few months for the disease to spread from the Wuhan District of China, which is considered its origin point of outbreak, to other parts of the world. In the initial days of the outbreak, information gathered on Covid-19 appeared as numbers and tables. However, in the following days, graphs were used in order to compare the values of different countries. Graphs are highly efficient tools to transfer the general properties/main features of the data to the target audience. Modern technology increased the variety of graphs. In this study, some graphical techniques that were used in the last 6 months in relation to Covid-19 are studied. In conclusion we suggest that maps filled with spatial analysis and dashboards, because of their ability to show different aspects of the problem all together, should be used more often in medical research in order us to predict the next infectious disease spread.

Keywords:

Covid-19, Dashboards, Spatial Analysis,

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