Open AccessOn the applicability of ARPS models in modelingand forecasting the dynamics of new cases of COVID-19 infection
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/byusu20210463-70
Subject(s) - covid-19 , autoregressive integrated moving average , dynamics (music) , coronavirus , computer science , virology , biology , medicine , time series , machine learning , outbreak , physics , infectious disease (medical specialty) , disease , pathology , acoustics
The aim of the work is to study the applicability of the methodology for constructing ARIMA models in the problem of modeling and predicting the dynamics of new cases of coronavirus infection in the autumn-winter period of 2020 in the KhMAO-Yugra.