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一个用于传染病中家庭效应的最小模型。

A minimal model for household effects in epidemics.

机构信息

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

Department of Physics, University of Washington, Seattle, WA 98115, United States of America.

出版信息

Phys Biol. 2020 Oct 21;17(6):065010. doi: 10.1088/1478-3975/abb209.

Abstract

Shelter-in-place and other confinement strategies implemented in the current COVID-19 pandemic have created stratified patterns of contacts between people: close contacts within households and more distant contacts between the households. The epidemic transmission dynamics is significantly modified as a consequence. We introduce a minimal model that incorporates these household effects in the framework of mean-field theory and numerical simulations. We show that the reproduction number R depends on the household size in a surprising way: linearly for relatively small households, and as a square root of size for larger households. We discuss the implications of the findings for the lockdown, test, tracing, and isolation policies.

摘要

就地避难和其他在当前 COVID-19 大流行中实施的隔离策略在人与人之间产生了分层的接触模式:家庭内部的密切接触和家庭之间的远距离接触。因此,传染病传播动力学发生了显著变化。我们在平均场理论和数值模拟的框架中引入了一个最小模型,该模型将这些家庭效应纳入其中。我们表明,繁殖数 R 以一种令人惊讶的方式取决于家庭规模:对于相对较小的家庭是线性的,对于较大的家庭则是规模的平方根。我们讨论了这些发现对封锁、测试、追踪和隔离政策的影响。

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