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中国湖北省手足口病每日报告发病率的 Prophet 模型趋势分析与预测。

Trend analysis and forecast of daily reported incidence of hand, foot and mouth disease in Hubei, China by Prophet model.

机构信息

Institute of Preventive Medicine Information, Hubei Provincial Center for Disease Control and Prevention, 6 Zhuodaoquan North Road, Wuhan, 430079, Hubei, China.

Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan, 430071, China.

出版信息

Sci Rep. 2021 Jan 14;11(1):1445. doi: 10.1038/s41598-021-81100-2.

Abstract

Hand, foot, and mouth disease (HFMD) is common among children below 5 years. HFMD has a high incidence in Hubei Province, China. In this study, the Prophet model was used to forecast the incidence of HFMD in comparison with the autoregressive-integrated moving average (ARIMA) model, and HFMD incidence was decomposed into trends, yearly, weekly seasonality and holiday effect. The Prophet model fitted better than the ARIMA model in daily reported incidence of HFMD. The HFMD incidence forecast by the Prophet model showed that two peaks occurred in 2019, with the higher peak in May and the lower peak in December. Periodically changing patterns of HFMD incidence were observed after decomposing the time-series into its major components. In specific, multi-year variability of HFMD incidence was found, and the slow-down increasing point of HFMD incidence was identified. Relatively high HFMD incidences appeared in May and on Mondays. The effect of Spring Festival on HFMD incidence was much stronger than that of other holidays. This study showed the potential of the Prophet model to detect seasonality in HFMD incidence. Our next goal is to incorporate climate variables into the Prophet model to produce an accurate forecast of HFMD incidence.

摘要

手足口病(HFMD)在 5 岁以下儿童中很常见。中国湖北省 HFMD 发病率较高。在本研究中,我们使用 Prophet 模型预测 HFMD 的发病率,并与自回归积分移动平均(ARIMA)模型进行比较,将 HFMD 发病率分解为趋势、年度、周季节性和节假日效应。Prophet 模型在每日报告的 HFMD 发病率方面的拟合效果优于 ARIMA 模型。Prophet 模型预测的 HFMD 发病率显示,2019 年出现了两个高峰,5 月的高峰较高,12 月的高峰较低。通过将时间序列分解为主要成分,可以观察到 HFMD 发病率的周期性变化模式。具体而言,发现 HFMD 发病率存在多年变化,并且确定了 HFMD 发病率的减缓增长点。HFMD 发病率相对较高的月份是 5 月和星期一。春节对 HFMD 发病率的影响比其他节假日要强得多。本研究表明 Prophet 模型在检测 HFMD 发病率季节性方面具有潜力。我们的下一个目标是将气候变量纳入 Prophet 模型,以产生 HFMD 发病率的准确预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8359/7809027/f4eaa5fdd671/41598_2021_81100_Fig1_HTML.jpg

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