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Prediction of daily COVID-19 cases in European countries using automatic ARIMA model

机译:采用自动ARIMA模型预测欧洲国家的日常科维德 - 19例

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The recent pandemic (COVID-19) emerged in Wuhan city of China and after causing a lot of destruction there recently changed its epicenter to Europe. There are countless people affected and reported cases are increasing day by day. Predictive models need to consider previous reported cases and forecast the upcoming number of cases. Automatic ARIMA, one of the predictive models used for forecasting contagions, was used in this study to predict the number of confirmed cases for next 10 days in four top European countries through R package “forecast”. The study finds that Auto ARIMA applied on the sample satisfactorily forecasts the confirmed cases of coronavirus for next ten days. The confirmed cases for the four countries show an increasing trend for the next ten days with Spain with a highest number of expected new confirmed cases, followed by Germany and France. Italy is expected to have lowest number of new confirmed cases among the four countries.
机译:最近的大流行(Covid-19)在中国武汉市出现,后造成了很多破坏,最近将其震中改为欧洲。有无数人受影响,报道的病例日益增加。预测模型需要考虑先前报告的案例并预测即将到来的情况。在本研究中使用了用于预测传染患者的预测模型之一的自动ARIMA,以预测通过R封装“预测”在四个顶级欧洲国家的未来10天内确诊的病例数。该研究发现,在样品上应用的汽车Arima令人满意地预测未来十天的冠状病毒的确诊病例。四个国家的确认案件表现出未来十天的趋势,西班牙具有最多的预期新的确认案件,其次是德国和法国。预计意大利将拥有四个国家的最低次数新的确认案件。

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