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_7
Snippet: The data used in this paper are sourced from the statistics of the National Health Commission(http://www.nhc.gov.cn/xcs/xxgzbd/gzbd_index.shtml) and then compiled by the website (https://news.sina.cn/zt_d/yiqing0121 ). Here, the cumulative number of confirmed diagnoses, new diagnoses, deaths, and cures were counted in Italy for 36 days from February 24, 2020 to March 30, 2020. A time series database was established using Excel 2019 [5] . We apply.....
Document: The data used in this paper are sourced from the statistics of the National Health Commission(http://www.nhc.gov.cn/xcs/xxgzbd/gzbd_index.shtml) and then compiled by the website (https://news.sina.cn/zt_d/yiqing0121 ). Here, the cumulative number of confirmed diagnoses, new diagnoses, deaths, and cures were counted in Italy for 36 days from February 24, 2020 to March 30, 2020. A time series database was established using Excel 2019 [5] . We apply the ARIMA model to predict the cumulative number of diagnoses and the number of newly diagnosed patients [6] .
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