Prediction of novel coronavirus pneumonia epidemic trend based on ARIMA model

Yuzhen Wang; Jingqiao Qin

doi:10.1117/12.2642624

28 July 2022 Prediction of novel coronavirus pneumonia epidemic trend based on ARIMA model

Yuzhen Wang, Jingqiao Qin

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123032Z (2022) https://doi.org/10.1117/12.2642624
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

In order to improve the speed and efficiency of the Department of epidemic prevention and control, this paper uses ARIMA model to train and fit the number of confirmed cases on the basis of the historical epidemic diagnosis information of Guangdong Province. By dealing with the stability of time series, determining the parameters of ARIMA model and testing residual white noise, the ARIMA model is established to predict the number of confirmed epidemic cases, and the number of confirmed epidemic cases in March may 2021 in Guangdong Province is accurately predicted, so as to help the epidemic prevention and control departments improve the accuracy and effectiveness of epidemic control.

Citation Download Citation

Yuzhen Wang and Jingqiao Qin "Prediction of novel coronavirus pneumonia epidemic trend based on ARIMA model", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123032Z (28 July 2022); https://doi.org/10.1117/12.2642624

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