Open Access<p>Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India</p>
Author(s) -
Yongbin Wang,
Chunjie Xu,
Sanqiao Yao,
Zhao Yi,
Yuchun Li,
Lei Wang,
Xin Zhao
Publication year - 2020
Publication title -
infection and drug resistance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.033
H-Index - 39
ISSN - 1178-6973
DOI - 10.2147/idr.s265292
Subject(s) - covid-19 , coronavirus , medicine , geography , disease , demography , virology , environmental health , outbreak , infectious disease (medical specialty) , sociology
The aim of this study is to apply the advanced error-trend-seasonal (ETS) framework to forecast the prevalence and mortality series of COVID-19 in the USA, the UK, Russia, and India, and the predictive performance of the ETS framework was compared with the most frequently used autoregressive integrated moving average (ARIMA) model.