COVID-19 pandemic course 2020-2022: description by methods of mathematical statistics and discrete mathematical analysisстатья
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Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 20 февраля 2024 г.
Аннотация:The paper describes the course of the COVID-19 pandemic using a combination of mathematicalstatistics and discrete mathematical analysis (DMA) methods. The method of regression derivatives andFCARS algorithm as components of DMA will be for the first time tested outside of geophysicsproblems. The algorithm is applied to time series of the number of new cases of COVID-19 infectionsper day for some regions of Russia and the Republic of Austria. This allowed to assess the nature andanomalies of pandemic spread as well as restrictive measures and decisions taken in terms of theadministration of countries and territories. It was shown that these methods can be used to identify timeintervals of change in the nature of the incidence rate and areas with the most severe course of theepidemic. This made it possible to identify the most significant restrictive measures that allowed toreduce the growth of the disease.