TY - GEN
T1 - Forecasting COVID-19 cases using multiple statistical models
AU - Saeed, Faisal
AU - Paul, Anand
AU - Ahmed, Muhammad Jamal
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/18
Y1 - 2020/12/18
N2 - An epidemic of respirational sickness triggered by a different coronavirus. Throughout the duration of an outbreak when the individual-to-individual transmission is traditional and testified subjects of coronavirus sickness 'COVID-19' are intensifying globally. Predicting is of extreme significance for medic-care devising and regulation the disease with the inadequate property. For the sake of prediction, in this paper, we have used the arithmetic equations with different growth rates along with Linear regression and the Autoregressive Integrated Moving Average model (ARIMA). The used methods for calculating the growth rates are different in every four cases. For ARIMA, the constraints are predicted by ACF and PACF correlogram. Simulated results show a better performance for each model.
AB - An epidemic of respirational sickness triggered by a different coronavirus. Throughout the duration of an outbreak when the individual-to-individual transmission is traditional and testified subjects of coronavirus sickness 'COVID-19' are intensifying globally. Predicting is of extreme significance for medic-care devising and regulation the disease with the inadequate property. For the sake of prediction, in this paper, we have used the arithmetic equations with different growth rates along with Linear regression and the Autoregressive Integrated Moving Average model (ARIMA). The used methods for calculating the growth rates are different in every four cases. For ARIMA, the constraints are predicted by ACF and PACF correlogram. Simulated results show a better performance for each model.
KW - ARIMA
KW - Arithimetic Equation
KW - COVID-19
KW - Epidemic
KW - Vector Auto Regression
UR - http://www.scopus.com/inward/record.url?scp=85112441810&partnerID=8YFLogxK
U2 - 10.1109/ICOT51877.2020.9468784
DO - 10.1109/ICOT51877.2020.9468784
M3 - Conference contribution
AN - SCOPUS:85112441810
T3 - 2020 8th International Conference on Orange Technology, ICOT 2020
BT - 2020 8th International Conference on Orange Technology, ICOT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Orange Technology, ICOT 2020
Y2 - 18 December 2020 through 21 December 2020
ER -
