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arXiv 2006.01283q-bio.OT
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COVID-19流行病学定量纲要

A quantitative compendium of COVID-19 epidemiology

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

摘要:

需要准确的数字来理解和预测病毒动态。例如,为传染期持续时间或家庭二次攻击率提供高质量的文献价值,目前尤其紧迫,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信息。我们的目标是为关键数字提供一个精心策划的来源,帮助我们了解导致当前全球危机的病毒。本概要仅关注COVID-19流行病学。以摘要格式报告的数字由附加说明的参考资料证实。对于每个属性,我们提供了一个简明的定义,测量和推理方法的描述,以及相关的警告。我们希望这一纲要将使基本数字更容易获得,并避免对许多新进入该领域的人造成混淆,例如使用潜伏期来表示和量化潜伏期,或使用住院时间来表示传染期。本文档将不断更新,并邀请社区参与改进。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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