新型冠状病毒病及其他大流行发病时间突变检测系统

IF 0.9 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Stats Pub Date : 2023-09-18 DOI:10.3390/stats6030058
Jiecheng Song, Guanchao Tong, Wei Zhu
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引用次数: 0

摘要

2019冠状病毒病于2020年初在全球急剧蔓延。本文提出了一种新的警报系统,该系统通过估计的时变繁殖数(Rt)来检测COVID-19或其他大流行发病率的突变。我们应用该系统检测了全球13个地区COVID-19大流行发病率的突变,其中8个在美国,5个在全球。随后,我们还用2009年香港H1N1大流行对该系统进行了评估。我们的系统在检测突变的增加和减少方面表现良好。该系统的用户可以获得关于大流行变化趋势的准确信息,避免被低发病率数字误导。未来,世界可能面临其他具有威胁性的流行病;因此,有一个可靠的警报系统来检测即将发生的每日发病率突变是至关重要的。该系统的另一个好处是它能够检测病毒突变的出现,因为不同的病毒株可能具有不同的感染率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Detecting System for Abrupt Changes in Temporal Incidence Rate of COVID-19 and Other Pandemics
COVID-19 spread dramatically across the world in the beginning of 2020. This paper presents a novel alert system that will detect abrupt changes in the COVID-19 or other pandemic incidence rate through the estimated time-varying reproduction number (Rt). We applied the system to detect abrupt changes in the COVID-19 pandemic incidence rates in thirteen world regions with eight in the US and five across the world. Subsequently, we also evaluated the system with the 2009 H1N1 pandemic in Hong Kong. Our system performs well in detecting both the abrupt increases and decreases. Users of the system can obtain accurate information on the changing trend of the pandemic to avoid being misled by low incidence numbers. The world may face other threatening pandemics in the future; therefore, it is crucial to have a reliable alert system to detect impending abrupt changes in the daily incidence rates. An added benefit of the system is its ability to detect the emergence of viral mutations, as different virus strains are likely to have different infection rates.
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来源期刊
CiteScore
0.60
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0.00%
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