An ARIMA model to forecast the spread and the final size of COVID-2019 epidemic in Italy

作者: Gaetano Perone

DOI: 10.1101/2020.04.27.20081539

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摘要: … So, the main aim of this paper is to provide a short-term forecast of the spread of COVID-2019 in Italy, by using an autoregressive integrated moving average (ARIMA) model on national …

参考文章(22)
M. Ríos, J.M. García, J.A. Sánchez, D. Pérez, A statistical analysis of the seasonality in pulmonary tuberculosis. European Journal of Epidemiology. ,vol. 16, pp. 483- 488 ,(2000) , 10.1023/A:1007653329972
Xingyu Zhang, Tao Zhang, Alistair A. Young, Xiaosong Li, Applications and Comparisons of Four Time Series Models in Epidemiological Surveillance Data PLOS ONE. ,vol. 9, ,(2014) , 10.1371/JOURNAL.PONE.0088075
G. M. LJUNG, G. E. P. BOX, On a measure of lack of fit in time series models Biometrika. ,vol. 65, pp. 297- 303 ,(1978) , 10.1093/BIOMET/65.2.297
David A. Dickey, Wayne A. Fuller, LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME SERIES WITH A UNIT ROOT Econometrica. ,vol. 49, pp. 1057- 1072 ,(1981) , 10.2307/1912517
Qi Li, Na-Na Guo, Zhan-Ying Han, Yan-Bo Zhang, Shun-Xiang Qi, Yong-Gang Xu, Ya-Mei Wei, Xu Han, Ying-Ying Liu, None, Application of an autoregressive integrated moving average model for predicting the incidence of hemorrhagic fever with renal syndrome. American Journal of Tropical Medicine and Hygiene. ,vol. 87, pp. 364- 370 ,(2012) , 10.4269/AJTMH.2012.11-0472
Thomas J. Rothenberg, James H. Stock, James H. Stock, Graham Elliott, Efficient Tests for an Autoregressive Unit Root Social Science Research Network. ,(1992)
Jurgen A. Doornik, Henrik Hansen, An Omnibus Test for Univariate and Multivariate Normality Oxford Bulletin of Economics and Statistics. ,vol. 70, pp. 927- 939 ,(2008) , 10.1111/J.1468-0084.2008.00537.X