Keywords: data analysis, data mining, covid-19, coronavirus infection, socio-economic indicators
The impact of coronavirus infection on the socio-economic indicators of the region
UDC 004
DOI: 10.26102/2310-6018/2022.38.3.028
The new coronavirus infection (COVID-19) which emerged in Wuhan, China, in early December 2019 quickly spread to almost every country in the world and shocked the global economy. This article highlights the most important problems that are caused by the coronavirus pandemic. The author discusses the impact of the new coronavirus infection Covid-19 on some socio-economic indicators of a particular region of the Russian Federation as well as the Russian Federation as a whole. In order to do that, an analytical procedure was developed using Knime Analytics Platform (the free and open source data analysis platform), which, in turn, greatly simplified data processing and visualization of results. The platform makes it possible to develop reproducible and scalable workflows by integrating a wide range of analysis tools. The analysis was based on the data extracted from the website of the Center for Spatiotemporal Innovation at Harvard University (NSF Spatiotemporal Innovation Center) and the statistical data extracted from the website of the Federal State Statistics Service. We visualized the data and drew conclusions about COVID-2019 incidence rate and the cost of a constant set of consumer products and services for the purposes of inter-regional comparisons of purchasing power.
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Keywords: data analysis, data mining, covid-19, coronavirus infection, socio-economic indicators
For citation: Pecherina A.V. The impact of coronavirus infection on the socio-economic indicators of the region. Modeling, Optimization and Information Technology. 2022;10(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1213 DOI: 10.26102/2310-6018/2022.38.3.028 (In Russ).
Received 19.09.2022
Revised 26.09.2022
Accepted 28.09.2022
Published 30.09.2022