Brinks Ralph, Hoyer Annika
Medical Biometry and Epidemiology, Faculty of Health/School of Medicine, Witten/Herdecke University, Witten, Germany.
Biostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany.
Front Epidemiol. 2024 Dec 17;4:1429034. doi: 10.3389/fepid.2024.1429034. eCollection 2024.
During the SARS-CoV-2 pandemic, the effective reproduction number (R-eff) has frequently been used to describe the course of the pandemic. Analytical properties of R-eff are rarely studied. We analytically examine how and under which conditions the conventional susceptible-infected-removed (SIR) model (without infection age) serves as an approximation to the infection-age-structured SIR model. Special emphasis is given to the role of R-eff, which is an implicit parameter in the infection-age-structured SIR model and an explicit parameter in the approximation. The analytical findings are illustrated by a simulation study about an hypothetical intervention during a SARS-CoV-2 outbreak and by historical data from an influenza outbreak in Prussian army camps in the region of Arnsberg (Germany), 1918-1919.
在新冠疫情期间,有效繁殖数(R-eff)经常被用来描述疫情的发展过程。R-eff的分析特性很少被研究。我们通过分析研究传统的易感-感染-康复(SIR)模型(无感染年龄)如何以及在何种条件下可作为感染年龄结构SIR模型的近似。特别强调了R-eff的作用,它在感染年龄结构SIR模型中是一个隐含参数,而在近似模型中是一个显式参数。通过一项关于新冠疫情爆发期间假设干预措施的模拟研究以及1918 - 1919年德国阿恩斯贝格地区普鲁士军营流感爆发的历史数据,对分析结果进行了说明。