COVID-19大流行的波动和周期:一个阶段同步方法

IF 0.6 Q4 STATISTICS & PROBABILITY Austrian Journal of Statistics Pub Date : 2023-07-18 DOI:10.17713/ajs.v52i3.1450
Carmen Borrego-Salcido, R. Juárez-Del-Toro, Alejandro Steven Fonseca-Zendejas
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引用次数: 2

摘要

本研究旨在通过阶段同步的非参数技术,通过比较15个受影响最严重的国家(按阳性病例数量)和2019年12月首次爆发疫情的中国,更好地了解COVID-19的动态。可以说明所研究的每一个国家的周期和波浪的数目,并确定它们之间的同步周期。结果还显示了周期的平均持续时间和一些关于Nason(2020)的巧合;波特米(2021);Coccia (2021);Rusiñol、Zammit、Itarte、forsamacs、marturnez - puchol、Girones、Borrego、Corominas和bofil - mas(2021)。由于检测数量不足和大量无症状者,该研究受到国家政府和卫生当局报告的阳性病例数量的可靠性的限制,但由于另一个国家的前瞻性行为,该研究提出了一种合理的替代方案来预测流行病在一个国家的演变,因此这样的研究可能有助于实施竞争措施并提前为卫生系统做好准备。
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The Waves and Cycles of COVID-19 Pandemic: A Phase Synchronization Approach
This study pretends to contribute to a better understanding of the COVID-19 dynamics through the non-parametric technique of phase synchronization by comparing the fifteen most affected countries by the number of positive cases plus China, where the firstoutbreak took place in December 2019. It was possible to state the number of cycles and waves for each one of the studied countries and to determine periods of synchronization between them. The results also showed the average duration of the cycles and some coincidences regarding Nason (2020); Bontempi (2021); Coccia (2021); Rusiñol, Zammit, Itarte, Forés, Martı́nez-Puchol, Girones, Borrego, Corominas, and Bofill-Mas (2021). This study is limited by the reliability of the number of positive cases reported by national governments and health authorities because of an insufficient number of tests and a great number of asymptomatic persons but presents a legit alternative to predict the evolution of the pandemic in a country due to the forward looking behavior of another one, therefore studies like this could be useful to implement contention measures and to prepare the health systems in advance.
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来源期刊
Austrian Journal of Statistics
Austrian Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.10
自引率
0.00%
发文量
30
审稿时长
24 weeks
期刊介绍: The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews.
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