论文标题

COVID-19流行病学的定量纲要

A quantitative compendium of COVID-19 epidemiology

论文作者

Bar-On, Yinon M., Sender, Ron, Flamholz, Avi I., Phillips, Rob, Milo, Ron

论文摘要

需要准确的数字来理解和预测病毒动态。例如,传染性期间或家庭次要攻击率的高质量文献价值的策划尤其是当前迫在眉睫,因为这些数字为如何以及何时封锁或重新开放社会的决定提供了决定。我们旨在为关键数字提供一个策划的来源,以帮助我们了解驱动当前全球危机的病毒。该纲要仅着重于19009年流行病学。以摘要格式报告的数字通过注释的参考证实。对于每个属性,我们提供一个简洁的定义,测量和推理方法的描述以及相关的警告。我们希望该汇编将使基本数字更容易获得,并避免为该领域的许多新移民提供常见的混乱来源,例如使用孵化期来表示和量化潜在时期或在传染性期间使用住院期限。该文档将反复更新,并邀请社区参与改进。

Accurate numbers are needed to understand and predict viral dynamics. Curation of high-quality literature values for the infectious period duration or household secondary attack rate, for example, is especially pressing currently because these numbers inform decisions about how and when to lockdown or reopen societies. We aim to provide a curated source for the key numbers that help us understand the virus driving our current global crisis. This compendium focuses solely on COVID-19 epidemiology. The numbers reported in summary format are substantiated by annotated references. For each property, we provide a concise definition, description of measurement and inference methods, and associated caveats. We hope this compendium will make essential numbers more accessible and avoid common sources of confusion for the many newcomers to the field such as using the incubation period to denote and quantify the latent period or using the hospitalization duration for the infectiousness period duration. This document will be repeatedly updated and the community is invited to participate in improving it.

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