利用脉搏功能干预分析方法对雅加达新冠肺炎住院病例进行建模

Sediono, Idrus Syahzaqi
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引用次数: 0

摘要

冠状病毒病-19 (Covid-19)是一种影响人类生活方方面面的流行病。新冠肺炎疫情使所有国家都感受到了疫情的影响,包括印度尼西亚,特别是雅加达成为该国第一个成为病毒传播中心的城市。已作出各种努力,但受害者人数继续迅速增加。因此,由于卫生设施数量有限,一些Covid-19患者只能独立隔离。这就是在雅加达开展Covid-19住院病例建模研究的背景。一种可以用于建模的方法是干预分析。干预分析是由于事件失控而引起的时间序列分析,从而影响时间序列数据的平稳性。本研究中使用的数据是2020年7月19日至2020年11月25日从雅加达省卫生局获得的住院患者Covid-19雅加达的日常数据。根据已经进行的研究结果可知,该数据在一次急剧下降,即第69次数据,这是脉冲函数干预。本研究结果得出最佳干预模型为ARIMA(0,2,1),阶数b = 0, s = 0, r = 2.1,结果rmse值为790.33。©2022美国物理学会。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling inpatient cases of COVID-19 in Jakarta using pulse function intervention analysis approach
Coronavirus Disease-19 (Covid-19) is an epidemic that affects all segments of human life. Covid-19 has caused all countries to feel the impact of this pandemic, including Indonesia, especially Jakarta as the first city to become the center of the spread of the virus in this country. Various attempts have been made, but the number of victims continues to increase rapidly. As a result, some Covid-19 patients can only isolate independently, due to the limited number of health facilities. This is the background for research on inpatient case modelling of Covid-19 in Jakarta. One method of approach that can be used in modelling is intervention analysis. Intervention analysis is a time series analysis caused by events out of control so that it can affect stationarity in time series data. The data used in this study is the data of inpatient Covid-19 Jakarta in the form ofdaily data obtained from Jakarta Provincial Health Office from 19 July 2020 to 25 November 2020. Based on the results of the research that has been carried out, it is known that the data has decreased drastically in one time, that is the 69th data which is a pulse function intervention. The results of this research obtained that the best intervention model is ARIMA (0,2,l)with order b = 0, s = 0, r = 2.1t results obtained a value ofRMSE 790.33. © 2022 American Institute of Physics Inc.. All rights reserved.
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