2020
DOI: 10.35808/ersj/1945
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The Use of Decision Trees for Analysis of the Potential Determinants for the Incidence of Deaths and Cases of Coronavirus (Covid-19) in Different Countries

Abstract: Purpose: The objective of this paper is to identify the key economic factors determining the intensity of COVID virus infections and deaths in various countries. Design/Methodology/Approach: The publication uses the methods of k-means clustering, knearest neighbors algorithm, DBSCan algorithm to divide countries into different groups in terms of the level of disease and death from COVID. The decision tree analysis provided potential determinants for the severity of the pandemic in different regions of the worl… Show more

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“…Europe was one of the most affected continents by the COVID-19 pandemic. The main reasons were, among others, high population density of European countries and relatively high mobility of Europeans (Wyrobek, 2020). Pandemic situation was changing dynamically.…”
Section: Introductionmentioning
confidence: 99%
“…Europe was one of the most affected continents by the COVID-19 pandemic. The main reasons were, among others, high population density of European countries and relatively high mobility of Europeans (Wyrobek, 2020). Pandemic situation was changing dynamically.…”
Section: Introductionmentioning
confidence: 99%