Suppr超能文献

基于家庭的传染病检测和追踪的最小模型。

A minimal model for household-based testing and tracing in epidemics.

机构信息

Chan Zuckerberg Biohub, San Francisco, CA 94158, United States of America.

Department of Physics, Kadanoff Center for Theoretical Physics, University of Chicago, Chicago, IL 60637, United States of America.

出版信息

Phys Biol. 2021 May 19;18(4). doi: 10.1088/1478-3975/abdacd.

Abstract

In a previous work (Huber2020065010), we discussed virus transmission dynamics modified by a uniform clustering of contacts in the population: close contacts within households and more distant contacts between households. In this paper, we discuss testing and tracing in such a stratified population. We propose a minimal tracing strategy consisting of random testing of the entire population plus full testing of the households of those persons found positive. We provide estimates of testing frequency for this strategy to work.

摘要

在之前的工作(Huber2020065010)中,我们讨论了通过人群中接触者的均匀聚类来改变病毒传播动力学的问题:家庭内的密切接触者和家庭之间的远距离接触者。在本文中,我们讨论了在这种分层人群中进行检测和追踪的问题。我们提出了一种最小追踪策略,包括对整个人群进行随机检测,以及对发现的阳性患者的家庭进行全面检测。我们提供了这种策略的检测频率估计值,以使其发挥作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验