基于SEAIR模型的多智能体模拟新冠肺炎无症状个体对有效再生数学的影响

IF 4.8 1区农林科学 Q1 AGRONOMY

Rice Pub Date : 2022-11-29 DOI:10.1109/SCISISIS55246.2022.10001858

Maximiliano Wakugawa, Fumiaki Saitoh

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引用次数: 0

摘要

目前正在进行各种模拟，以应对新型冠状病毒感染的传播。然而，很少使用考虑无症状者的模型进行多主体模拟，无症状者是导致感染传播的因素之一。在本研究中，我们将考虑无症状者的SEAIR模型扩展到多智能体模拟中，以研究无症状者比例对有效复制数的影响。结果表明，无症状感染者可能会影响感染传播高峰和会聚期的阳性群体数量。

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Impact of COVID-19 asymptomatic individuals on effective regenerative math by multi-agent simulation based on the SEAIR model.

Various simulations are currently being conducted in response to the spread of the novel coronavirus infection. However, few multi-agent simulations have been conducted using a model that considers asymptomatic persons, who are one of the factors contributing to the spread of infection. In this study, we extended the SEAIR model, which considers asymptomatic persons, to multi-agent simulations to investigate the effect of the proportion of asymptomatic persons on the effective number of reproductions. The results indicate that asymptomatic persons may influence the number of positive groups at the peak of the spread of infection and the convergence period.

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来源期刊

Rice AGRONOMY-

CiteScore

10.10

自引率

3.60%

发文量

审稿时长

>12 weeks

期刊介绍： Rice aims to fill a glaring void in basic and applied plant science journal publishing. This journal is the world''s only high-quality serial publication for reporting current advances in rice genetics, structural and functional genomics, comparative genomics, molecular biology and physiology, molecular breeding and comparative biology. Rice welcomes review articles and original papers in all of the aforementioned areas and serves as the primary source of newly published information for researchers and students in rice and related research.