Open AccessProblems of identifying time series intervals when predicting the dynamics of the number of infected Covid-19 by statistical methods using the example of Yugra
Author(s) -
Mikhail G. Korotkov,
Aleksey Petrov,
Maria V. Kurkina
Publication year - 2021
Publication title -
vestnik ûgorskogo gosudarstvennogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2078-9114
pISSN - 1816-9228
DOI - 10.17816/byusu2020370-74
Subject(s) - covid-19 , series (stratigraphy) , time series , coronavirus , interval (graph theory) , statistics , statistical analysis , dynamics (music) , computer science , mathematics , virology , medicine , outbreak , biology , psychology , pathology , paleontology , disease , combinatorics , infectious disease (medical specialty) , pedagogy
The aim of this work is to develop an approach to isolate the data interval for statistical forecasting from the time series of dynamics of new cases of coronavirus infection in the Yugra of the number of COVID-19 infected in the spring-summer of 2020.