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利用 SIR 模型对东京的 COVID-19 进行综合分析。

An interpretation of COVID-19 in Tokyo using a combination of SIR models.

机构信息

MAKISOLU G.K.

出版信息

Proc Jpn Acad Ser B Phys Biol Sci. 2022;98(2):87-92. doi: 10.2183/pjab.98.006.

DOI:10.2183/pjab.98.006
PMID:35153271
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8890995/
Abstract

A year and a half has passed since the outbreak of the COVID-19 pandemic. Mathematical models to predict infection are expected and many studies have been conducted. In this study, a new interpretation was created that could reproduce the daily positive cases in Tokyo using only a simple SIR model. In addition, the data on the ratio of transfer to delta variants could also be simulated. It is anticipated that this interpretation will be a basis for the development of forecasting methods.

摘要

自 COVID-19 大流行爆发以来已经过去了一年半。人们期望建立预测感染的数学模型,并且已经进行了许多研究。在这项研究中,创建了一种新的解释,可以仅使用简单的 SIR 模型来再现东京的每日阳性病例。此外,还可以模拟转移到 delta 变体的比例数据。预计这种解释将成为开发预测方法的基础。

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Reproducing country-wide COVID-19 dynamics can require the usage of a set of SIR systems.要再现全国范围内的新冠疫情动态,可能需要使用一组易感-感染-康复(SIR)模型系统。
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