Coronavirus disease (COVID-2019) is a severe ongoing novel pandemic that is spreading quickly across the world. Italy, that is widely considered one of the main epicenters of the pandemic, has registered the highest COVID-2019 death rates and death toll in the world, to the present day. In this article I estimate an autoregressive integrated moving average (ARIMA) model to forecast the epidemic trend over the period after April 4, 2020, by using the Italian epidemiological data at national and regional level. The data refer to the number of daily confirmed cases officially registered by the Italian Ministry of Health (www.salute.gov.it) for the period February 20 to April 4, 2020. The main advantage of this model is that it is easy to manage and fit. Moreover, it may give a first understanding of the basic trends, by suggesting the hypothetic epidemic's inflection point and final size.
翻译:Corona病毒疾病(COVID-2019)是正在世界各地迅速蔓延的严重新流行流行病,意大利被广泛视为该流行病的主要中心之一,其死亡率和死亡人数是全世界最高的COVID-2019年,在本条中,我利用意大利的国家和区域一级流行病学数据,估计2020年4月4日以后的期间,将采用自动递减综合移动平均数(ARIMA)模型来预测该流行病的趋势。数据指的是意大利卫生部(www.salute.gov.it)正式登记的2月20日至2020年4月4日的每日确诊病例数量。这一模型的主要优点是易于管理和适应。此外,它可能首先了解基本趋势,提出低效流行病的传染点和最终规模。