Suppr超能文献

基于SIR模型的日本新冠肺炎疫情趋同动态。

Convergent movement of COVID-19 outbreak in Japan based on SIR model.

作者信息

Masuhara Hiroaki, Hosoya Kei

机构信息

Faculty of Economics and Law, Shinshu University, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.

Faculty of Economics, Kokugakuin University, 4-10-28 Higashi, Shibuya, Tokyo 150-8440, Japan.

出版信息

Econ Anal Policy. 2022 Mar;73:29-43. doi: 10.1016/j.eap.2021.10.016. Epub 2021 Nov 3.

Abstract

The infection dynamics of COVID-19 show frequent phases in which the infection spreads rapidly, resembling explosive infection. However, despite the repeated increases and decreases, there is a process of convergence even within a relatively short period of time. While it is obvious that the growth rate of the cumulative number of infected people slows down as it increases, considering the infectious disease process, we also observe a slowdown in the growth rate of the net number of infected people. Moreover, there exists a special type of convergence whereby areas with initially many infected people exhibit low rates of increase in the numbers of infected people subsequently. This paper uses prefectural panel data from Japan through March 2021 to confirm the convergence process.

摘要

新冠病毒感染动态呈现出频繁的阶段,其中感染迅速传播,类似爆发性感染。然而,尽管反复出现增减情况,但即使在相对较短的时间内也存在一个趋同过程。虽然累计感染人数的增长率随着其增加而放缓是显而易见的,但考虑到传染病过程,我们也观察到感染人数净增长速度的放缓。此外,还存在一种特殊类型的趋同,即最初感染人数较多的地区随后感染人数的增长率较低。本文使用截至2021年3月的日本县级面板数据来确认趋同过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bf7/8563085/8e20d84b90ac/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验