Duration of transients in outbreaks: when can infectiousness be estimated?

IF 2.2 4区 数学 Q2 BIOLOGY
Adam Mielke, Lasse Engbo Christiansen
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引用次数: 0

Abstract

We investigate sub-leading orders of the classic SEIR-model using contact matrices from modeling of the Omicron and Delta variants of COVID-19 in Denmark. The goal of this is to illustrate when the growth rate, and by extension the infection transmission potential (basic or initial reproduction number), can be estimated in a new outbreak, e.g. after introduction of a new variant of a virus. In particular, we look at the time scale on which this happens in a realistic outbreak to guide future data collection. We find that as long as susceptible depletion is a minor effect, the transients are gone within around 3 weeks corresponding to about 4-5 times the incubation time. We also argue that this result generalizes to other airborne diseases in a fully mixed population.

疫情的短暂持续时间:何时可以估计传染性?
我们利用来自丹麦新冠病毒欧米克隆和德尔塔变体模型的接触矩阵,研究了经典seir模型的次导阶。这样做的目的是说明在一次新的暴发中,例如在引入一种新的病毒变体之后,何时可以估计生长速度,进而可以估计感染传播潜力(基本或初始繁殖数)。特别是,我们研究了这种情况在实际爆发中发生的时间尺度,以指导未来的数据收集。我们发现,只要易感耗竭的影响很小,瞬态就会在大约3周内消失,相当于大约4-5倍的潜伏期。我们还认为,这一结果可以推广到完全混合人群中的其他空气传播疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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