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

By Stephen G. Eubank, I. Eckstrand, B. Lewis, S. Venkatramanan, M. Marathe, C. Barrett. Bulletin of Mathematical Biology, 2020

1,094 citations recorded by the source corpus.

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.

Subfields: General Health Professions, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/b1ce0a1cd9cb416b95a2ca2bd955b6a3be8592b0

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In General Health Professions

  1. Thomas Philippon
  2. Nicola Perra
  3. Ewelina Smoktunowicz

In Modeling and Simulation

  1. Venky Venkateswaran
  2. Thomas Philippon
  3. Callum Jones
  4. Nicola Perra

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