Mielke Adam, Christiansen Lasse Engbo
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Asmussens Allé, 303B, 2800 Kgs., Lyngby, Denmark.
Statens Serum Institut, Artillerivej 5, 2300, Copenhagen S, Denmark.
J Math Biol. 2024 Dec 20;90(1):11. doi: 10.1007/s00285-024-02175-9.
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.
我们使用丹麦新冠病毒奥密克戎变异株和德尔塔变异株建模中的接触矩阵,研究经典SEIR模型的次主导阶。这样做的目的是说明在新的疫情爆发中,例如在引入病毒的新变异株后,何时可以估计增长率,进而估计感染传播潜力(基本或初始繁殖数)。特别是,我们研究了在实际疫情爆发中发生这种情况的时间尺度,以指导未来的数据收集。我们发现,只要易感人群的减少是一个较小的影响,瞬态在大约3周内就会消失,这大约相当于潜伏期的4至5倍。我们还认为,这一结果适用于完全混合人群中的其他空气传播疾病。