The dynamic reproduction index: accurate determination from incidence and application for an early warning system

R. Conradt, S. Herminghaus
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Abstract

Two methods of calculating the reproduction index from daily new infection data are considered, one by using the generation time tG as a shift ( RG), and an incidence-based method directly derived from the differential equation system of an SIR epidemic dynamics model (RI). While the former is shown to have few in common with the true reproduction index, we find that the latter provides a sensitive detection device for intervention effects and other events affecting the epidemic, making it well-suited for diagnostic purposes in policy making. Furthermore, we introduce a similar quantity, RIcalc, which can be calculated directly from RG. It shows largely the same behaviour as RI, with less fine structure. However, it is accurate in particular in the vicinity of R=1, where accuracy is important for the correct prediction of epidemic dynamics. We show how to obtain an improved RIcorr from both quantities, which is both accurate and contains the details of the epidemic spreading dynamics. Hence we obtain R accurately only from data on daily new infections (incidence). Moreover, by using RI instead of RG in plots ''R versus Incidence'' suddenly expressed trajectories of epidemic wave(s) become visible in a particularly insightful way. In addition this shows that the widespread use of only incidence as a diagnostic tool is clearly inappropriate.
动态再现指数:从发生率精确确定及其在预警系统中的应用
考虑了从每日新增感染数据计算繁殖指数的两种方法,一种是将产生时间tG作为位移(RG),另一种是直接从SIR流行病动力学模型(RI)的微分方程组导出的基于发病率的方法。虽然前者与真实再现指数没有多少共同之处,但我们发现后者为干预效果和影响流行病的其他事件提供了一种敏感的检测手段,使其非常适合用于决策中的诊断目的。此外,我们引入了一个类似的量,RIcalc,它可以直接从RG中计算出来。它表现出与RI基本相同的行为,但结构不那么精细。然而,它在R=1附近是准确的,在那里准确性对于正确预测流行病动态很重要。我们展示了如何从这两个量中获得改进的RIcorr,它既准确又包含流行病传播动态的细节。因此,我们只能从每日新感染(发病率)的数据中准确地获得R。此外,通过在图中使用RI而不是RG,“R与发病率”突然以一种特别深刻的方式显示了流行病波的表达轨迹。此外,这表明仅将发病率作为诊断工具的广泛使用显然是不适当的。
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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