Several epidemiological models have been proposed to study the evolution of COVID-19 pandemic. In this paper, we propose an extension of the SUIHTER model, first introduced in [Parolini et al, Proc R. Soc. A., 2021] to analyse the COVID-19 spreading in Italy, which accounts for the vaccination campaign and the presence of new variants when they become dominant. In particular, the specific features of the variants (e.g. their increased transmission rate) and vaccines (e.g. their efficacy to prevent transmission, hospitalization and death) are modeled, based on clinical evidence. The new model is validated comparing its near-future forecast capabilities with other epidemiological models and exploring different scenario analyses.
翻译:为了研究COVID-19大流行的演变情况,提出了若干流行病学模型,在本文件中,我们提议扩大SUIHTER模型,首先在[Parolini 等人,Proc R. Soc. A., 2021]中采用,以分析意大利的COVID-19传播情况,这是疫苗接种运动和新变种在流行时出现的原因,特别是根据临床证据,对各种变种的具体特点(例如其传播率增加)和疫苗(例如其预防传播、住院和死亡的效力)进行了建模,新模型经过验证,将其近未来预测能力与其他流行病学模型进行比较,并探索不同的情景分析。