Robert Koch Institute, Nordufer 20, D-13353 Berlin, Germany.
Institute for Theoretical Biology, Humboldt University of Berlin, Philippstrasse 13, D-10115 Berlin, Germany.
Science. 2020 May 15;368(6492):742-746. doi: 10.1126/science.abb4557. Epub 2020 Apr 8.
The recent outbreak of coronavirus disease 2019 (COVID-19) in mainland China was characterized by a distinctive subexponential increase of confirmed cases during the early phase of the epidemic, contrasting with an initial exponential growth expected for an unconstrained outbreak. We show that this effect can be explained as a direct consequence of containment policies that effectively deplete the susceptible population. To this end, we introduce a parsimonious model that captures both quarantine of symptomatic infected individuals, as well as population-wide isolation practices in response to containment policies or behavioral changes, and show that the model captures the observed growth behavior accurately. The insights provided here may aid the careful implementation of containment strategies for ongoing secondary outbreaks of COVID-19 or similar future outbreaks of other emergent infectious diseases.
中国大陆 2019 年冠状病毒病(COVID-19)的爆发特点是在疫情早期确诊病例呈明显的次指数增长,与不受限制的爆发最初的指数增长预期形成鲜明对比。我们表明,这种效应可以直接解释为控制政策的结果,这些政策有效地耗尽了易感人群。为此,我们引入了一个简洁的模型,该模型同时捕捉了有症状感染者的隔离以及针对控制政策或行为变化的全民隔离措施,并表明该模型能够准确地捕捉到观察到的增长行为。这里提供的见解可能有助于精心实施针对 COVID-19 或其他未来新兴传染病的持续二次爆发的控制策略。