Author: Guorong Ding; Xinru Li; Yang Shen; Jiao Fan
Title: Brief Analysis of the ARIMA model on the COVID-19 in Italy Document date: 2020_4_11
ID: ilwsrir6_29
Snippet: R statistical software was used to construct a trend-fitting forecast based on the ARIMA model. The National Health Commission and statistical data are used to fit this epidemic trend. It can be seen that the epidemic will continue for some time. From the perspective of statistical analysis, although we need more data to make more detailed predictions, in fact, the number of confirmed new coronaviruses in Italy is still increasing, and effective .....
Document: R statistical software was used to construct a trend-fitting forecast based on the ARIMA model. The National Health Commission and statistical data are used to fit this epidemic trend. It can be seen that the epidemic will continue for some time. From the perspective of statistical analysis, although we need more data to make more detailed predictions, in fact, the number of confirmed new coronaviruses in Italy is still increasing, and effective prevention and control measures are still needed.
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