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隔离,还是不隔离:通过接触者追踪进行疾病控制的理论框架。

To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing.

机构信息

Inria Paris, 2 rue Simone Iff, 75012 Paris, France; Institut Pasteur, C3BI, 28 rue du Docteur-Roux, 75015 Paris, France; Inria Saclay - Île de France, 1 rue Honoré d'Estienne d'Orves, 91120 Palaiseau, France; École Polytechnique, CMAP, route de Saclay, 91128 Palaiseau, France.

Inria Paris, 2 rue Simone Iff, 75012 Paris, France; Institut Pasteur, C3BI, 28 rue du Docteur-Roux, 75015 Paris, France.

出版信息

Epidemics. 2021 Mar;34:100428. doi: 10.1016/j.epidem.2020.100428. Epub 2020 Dec 15.

Abstract

Contact tracing via smartphone applications is expected to be of major importance for maintaining control of the COVID-19 pandemic. However, viable deployment demands a minimal quarantine burden on the general public. That is, consideration must be given to unnecessary quarantining imposed by a contact tracing policy. Previous studies have modeled the role of contact tracing, but have not addressed how to balance these two competing needs. We propose a modeling framework that captures contact heterogeneity. This allows contact prioritization: contacts are only notified if they were acutely exposed to individuals who eventually tested positive. The framework thus allows us to address the delicate balance of preventing disease spread while minimizing the social and economic burdens of quarantine. This optimal contact tracing strategy is studied as a function of limitations in testing resources, partial technology adoption, and other intervention methods such as social distancing and lockdown measures. The framework is globally applicable, as the distribution describing contact heterogeneity is directly adaptable to any digital tracing implementation.

摘要

通过智能手机应用进行接触者追踪,有望成为控制 COVID-19 大流行的重要手段。然而,可行的部署需要将公众的隔离负担降到最低。也就是说,必须考虑到接触者追踪政策所带来的不必要的隔离。先前的研究已经对接触者追踪的作用进行了建模,但没有解决如何平衡这两个相互竞争的需求。我们提出了一个建模框架,可以捕捉接触者的异质性。这允许对接触者进行优先级排序:只有当接触者与最终检测呈阳性的个体有过急性接触时,才会通知他们。因此,该框架使我们能够在最小化隔离的社会和经济负担的同时,解决预防疾病传播的微妙平衡问题。我们将这种最佳接触者追踪策略作为测试资源的限制、部分技术采用以及其他干预方法(如社交距离和封锁措施)的函数进行研究。该框架具有全球适用性,因为描述接触者异质性的分布可以直接适用于任何数字追踪实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76ba/7834522/661cb4a6bc6c/gr1_lrg.jpg

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