Prediction of COVID-19 Confirmed Cases after Vaccination: Based on Statistical and Deep Learning Models

Prediction of COVID-19 Confirmed Cases after Vaccination: Based on Statistical and Deep Learning Models

In this paper, we analyze and predict the number of daily confirmed cases of coronavirus (COVID-19) based on two statistical models and a deep learning (DL) model; the autoregressive integrated moving average (ARIMA), the generalized autoregressive conditional heteroscedasticity (GARCH), and the sta...

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Bibliographic Details
Main Author: Meejoung Kim
Format: Article
Language:English
Published: Ital Publication 2021-06-01
Series:SciMedicine Journal
Subjects:
covid-19
predictive model
non-linear fitting
long short-term memory deep neural network
autoregressive integrated moving average
generalized autoregressive conditional heteroscedasticity.
Online Access:https://www.scimedjournal.org/index.php/SMJ/article/view/314

Internet

https://www.scimedjournal.org/index.php/SMJ/article/view/314

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