ДОСЛІДЖЕННЯ ФРАКТАЛЬНИХ ВЛАСТИВОСТЕЙ ЧАСОВИХ РЯДІВ, ПОВ’ЯЗАНИХ З ІНФЕКЦІЙНИМИ ЗАХВОРЮВАННЯМИ

This work is aimed at using fractal analysis methods to predict the behavior of epidemics. This includes building time series that will reflect the dynamics of the disease over a certain period of time, calculating Hurst’s indices and studying their structure. Thanks to fractal analysis, we will gain a deeper understanding of the processes of epidemic spread and will be able to use this information to improve pandemic control strategies, as well as to prevent future epidemics and their consequences. The input data for the analysis will be the number of new COVID-19 cases.