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COVID-19流行模型中振荡的自组织

Self-organization of oscillation in an epidemic model for COVID-19.

作者信息

Odagaki Takashi

机构信息

Kyushu University, Nishiku, Fukuoka 819-0395, Japan.

Research Institute for Science Education, Inc., Kitaku, Kyoto 603-8346, Japan.

出版信息

Physica A. 2021 Jul 1;573:125925. doi: 10.1016/j.physa.2021.125925. Epub 2021 Mar 18.

DOI:10.1016/j.physa.2021.125925
PMID:33762798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7970836/
Abstract

On the basis of a compartment model, the epidemic curve is investigated when the net rate of change of the number of infected individuals is given by an ellipse in the - plane which is supported in . With , it is shown that (1) when , oscillation of the infection curve is self-organized and the period of the oscillation is in proportion to the ratio of the difference and the geometric mean of and , (2) when , the infection curve shows a critical behavior where it decays obeying a power law function with exponent in the long time limit after a peak, and (3) when , the infection curve decays exponentially in the long time limit after a peak. The present result indicates that the pandemic can be controlled by a measure which makes .

摘要

基于一个隔室模型,当感染个体数量的净变化率由(x - y)平面上支撑在(\cdots)中的椭圆给出时,研究了流行曲线。对于(\cdots),结果表明:(1)当(\cdots)时,感染曲线的振荡是自组织的,振荡周期与(\cdots)的差与几何平均值的比值成比例;(2)当(\cdots)时,感染曲线表现出临界行为,即在达到峰值后的长时间极限中,它遵循幂律函数衰减,指数为(\cdots);(3)当(\cdots)时,感染曲线在达到峰值后的长时间极限中呈指数衰减。目前的结果表明,通过使(\cdots)的措施可以控制大流行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/6faae1c71cc1/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/2f86e896eabf/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/a2ba644acbe9/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/ceef3adfe3e7/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/6faae1c71cc1/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/2f86e896eabf/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/a2ba644acbe9/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/ceef3adfe3e7/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad53/7970836/6faae1c71cc1/gr4_lrg.jpg

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本文引用的文献

1
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Sci Rep. 2021 Jan 21;11(1):1936. doi: 10.1038/s41598-021-81521-z.
2
Exact properties of SIQR model for COVID-19.用于新冠肺炎的SIQR模型的精确特性。
Physica A. 2021 Feb 15;564:125564. doi: 10.1016/j.physa.2020.125564. Epub 2020 Nov 21.
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Analysis of the outbreak of COVID-19 in Japan by SIQR model.基于SIQR模型对日本新冠肺炎疫情的分析。
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