Comparison of the SVR and ARIMA models for Prediction of daily imported new cases of COVID-19 in Shanghai, China

Zhao, D.; Zhang, H.

Zhao, D.; Zhang, H..

2022 Asia Conference on Algorithms, Computing and Machine Learning, CACML 2022 ; : 244-248, 2022.

Article in English | Scopus | ID: covidwho-2051934

ABSTRACT

ABSTRACT

The outbreak and spread of COVID-19 poses a tremendous threat to the health of people all over the world. We collected the new imported COVID-19 cases daily in Shanghai, China from September 1, 2021 to January 17, 2022 from the National Commission on Health of the People's Republic of China website. The SVR and ARIMA models were constructed and compared. On this base, it is provided for the early warning of the outbreak of COVID-19 and the targeted preventive measures proposed for this infectious disease. © 2022 IEEE.

Keywords

ARIMA model; COVID-19; prediction; SVR model; Forecasting; Health risks; ARIMA models; Early warning; Infectious disease; New case; Peoples Republic of China; Preventive measures

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 2022 Asia Conference on Algorithms, Computing and Machine Learning, CACML 2022 Year: 2022 Document Type: Article

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