Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”,Bulletin of Mathematical Biology

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Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”
Bulletin of Mathematical Biology ( IF 3.5 ) Pub Date : 2020-04-01 , DOI: 10.1007/s11538-020-00726-x
S Eubank _{1,

2} , I Eckstrand ₁ , B Lewis ₁ , S Venkatramanan ₁ , M Marathe _{1,

3} , C L Barrett _{1,

3}

Affiliation

A recent manuscript (Ferguson et al. in Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand, Imperial College COVID-19 Response Team, London, 2020. https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf ) from Imperial College modelers examining ways to mitigate and control the spread of COVID-19 has attracted much attention. In this paper, we will discuss a coarse taxonomy of models and explore the context and significance of the Imperial College and other models in contributing to the analysis of COVID-19.

中文翻译：

Ferguson 等人的评论，“非药物干预 (NPI) 对降低 COVID-19 死亡率和医疗保健需求的影响”

最近的手稿（Ferguson 等人在降低 COVID-19 死亡率和医疗保健需求的非药物干预（NPI）的影响中，帝国理工学院 COVID-19 响应小组，伦敦，2020 年。https://www.imperial.ac。 uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf ）来自帝国理工学院建模师研究减轻和控制 COVID 传播的方法-19备受关注。在本文中，我们将讨论模型的粗略分类，并探讨帝国理工学院和其他模型在对 COVID-19 分析做出贡献方面的背景和意义。

更新日期：2020-04-01

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