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Time series analysis of Holt model and the ARIMA Model facing Covid-19
Author(s) -
E Mingzhe,
Jinming Cao,
Bin Zhao
Publication year - 2020
Publication title -
annals of mathematics and physics
Language(s) - English
Resource type - Journals
ISSN - 2689-7636
DOI - 10.17352/amp.000014
Subject(s) - autoregressive integrated moving average , covid-19 , series (stratigraphy) , time series , econometrics , computer science , statistics , mathematics , virology , medicine , geology , paleontology , disease , pathology , outbreak , infectious disease (medical specialty)
Background: Since the first appearance of the novel coronavirus in Wuhan in December 2019, it has quickly swept the world and become a major security incident facing humanity today. While the novel coronavirus threatens people’s lives and safety, the economies of various countries have also been severely damaged. Due to the epidemic, a large number of enterprises have faced closures, employment has become more difficult, and people’s lives have been greatly affected. Therefore, to establish a time series model for Hubei Province, where the novel coronavirus first broke out, and the United States, where the epidemic is most severe, to analyze the spreading trend and short-term forecast of the new coronavirus, which will help countries better understand the development trend of the epidemic and make more adequate preparation and timely intervention and treatment to prevent the further spread of the virus.

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