A delayed SEIQR epidemic model of COVID-19 in Tokyo

Author:

Maki Kazuo

Abstract

The rapid expansion of COVID-19 has caused a global pandemic. In order to avoid excessive restriction to the social activity, a good strategy of quarantine is needed. Several epidemic models with a quarantine compartment such as susceptible-exposed-infectious-quarantined-removed (SEIQR) model have been applied. However, in the actual situation, the infection test and quarantine is often delayed from the beginning of the infectious stage. This article presents a delayed SEIQR model to analyze the effect of the delay of quarantine, and to suggest a guideline for the measure. The latency period (compartment E) was assumed to be 3 days, and the start of quarantine action was assumed to be delayed by 4 to 10 days from infection. The actual PCR test-positive number data from March 10th to July 18th in 2020 was analyzed to estimate a transmission rate and the reproduction number. The area where the infection expansion is restrained was displayed in the two parameter space (transmission rate and quarantine rate) for several possible lengths of the delay of quarantine. As a result, it was shown to be very hard to restrain the expansion of infection only by a simple quarantine action retaining the delay. As a short term measure, it was found to be necessary to reduce the transmission rate through some kind of restriction of social activity, but as a long term measure, it was found to be possible to maintain the social activity by shortening the delay of quarantine through expanding the infection test system to find earlier stage patients, including asymptomatic infectious patients. In order to shed light to this conclusion from a different viewpoint, this model was applied in another case that an additional quarantine was taken into account before the delay. The result was shown to have a similar effect as that of the shortening of the delay.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3