TY - GEN
T1 - Time Series Forecasting of COVID-19 Infections in United Arab Emirates using ARIMA
AU - Ismail, Leila
AU - Alhmoudi, Shaikhah
AU - Alkatheri, Sumyah
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - Machine learning time series models have been used to predict COVID-19 pandemic infections. Based on the public dataset from Johns Hopkins, we present a novel framework for forecasting COVID-19 infections. We implement our framework for the United Arab Emirates (UAE) and develop autoregressive integrated moving average (ARIMA) time series forecast model. To the best of our knowledge, this is the only study to forecast the infections in UAE using the time series model.
AB - Machine learning time series models have been used to predict COVID-19 pandemic infections. Based on the public dataset from Johns Hopkins, we present a novel framework for forecasting COVID-19 infections. We implement our framework for the United Arab Emirates (UAE) and develop autoregressive integrated moving average (ARIMA) time series forecast model. To the best of our knowledge, this is the only study to forecast the infections in UAE using the time series model.
KW - COVID-19
KW - autoregressive integrated moving average (ARIMA)
KW - coronavirus
KW - machine learning
KW - time series
UR - http://www.scopus.com/inward/record.url?scp=85113373206&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85113373206&partnerID=8YFLogxK
U2 - 10.1109/CSCI51800.2020.00150
DO - 10.1109/CSCI51800.2020.00150
M3 - Conference contribution
AN - SCOPUS:85113373206
T3 - Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
SP - 801
EP - 806
BT - Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Y2 - 16 December 2020 through 18 December 2020
ER -