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

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-CO...

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Published inBulletin of mathematical biology Vol. 82; no. 4; p. 52
Main Authors Eubank, S., Eckstrand, I., Lewis, B., Venkatramanan, S., Marathe, M., Barrett, C. L.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.04.2020
Springer Nature B.V
Subjects
Basic Reproduction Number
Betacoronavirus
Cell Biology
Clinical Laboratory Techniques
Coronavirus Infections - diagnosis
Coronavirus Infections - mortality
Coronavirus Infections - prevention & control
Coronaviruses
COVID-19
Covid-19 Publications
COVID-19 Testing
Delivery of Health Care
Forecasting
Health care
Health Resources
Health Services Needs and Demand
Humans
Infection Control
Interprofessional Relations
Life Sciences
Mathematical and Computational Biology
Mathematics
Mathematics and Statistics
Models, Statistical
Mortality
Pandemics - prevention & control
Pandemics - statistics & numerical data
Perspective Article
Pharmaceuticals
Pneumonia, Viral - diagnosis
Pneumonia, Viral - mortality
Pneumonia, Viral - prevention & control
SARS-CoV-2
Scholarships & fellowships
Taxonomy
Time Factors
COVID-19
Compartmental model
Non-pharmaceutical intervention
Epidemiology
Online AccessGet full text

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Abstract 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.
AbstractList 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.
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.
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.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.
ArticleNumber 52
Author Barrett, C. L.
Eckstrand, I.
Lewis, B.
Venkatramanan, S.
Eubank, S.
Marathe, M.
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Issue 4
Keywords COVID-19
Compartmental model
Non-pharmaceutical intervention
Epidemiology
Language English
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PublicationCentury 2000
PublicationDate 20200400
PublicationDateYYYYMMDD 2020-04-01
PublicationDate_xml – month: 4
  year: 2020
  text: 20200400
PublicationDecade 2020
PublicationPlace New York
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– name: United States
PublicationSubtitle A journal devoted to research at the interface of the life and mathematical sciences
PublicationTitle Bulletin of mathematical biology
PublicationTitleAbbrev Bull Math Biol
PublicationTitleAlternate Bull Math Biol
PublicationYear 2020
Publisher Springer US
Springer Nature B.V
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– name: Springer Nature B.V
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Snippet A recent manuscript (Ferguson et al. in Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand, Imperial College...
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SubjectTerms Basic Reproduction Number
Betacoronavirus
Cell Biology
Clinical Laboratory Techniques
Coronavirus Infections - diagnosis
Coronavirus Infections - mortality
Coronavirus Infections - prevention & control
Coronaviruses
COVID-19
Covid-19 Publications
COVID-19 Testing
Delivery of Health Care
Forecasting
Health care
Health Resources
Health Services Needs and Demand
Humans
Infection Control
Interprofessional Relations
Life Sciences
Mathematical and Computational Biology
Mathematics
Mathematics and Statistics
Models, Statistical
Mortality
Pandemics - prevention & control
Pandemics - statistics & numerical data
Perspective Article
Pharmaceuticals
Pneumonia, Viral - diagnosis
Pneumonia, Viral - mortality
Pneumonia, Viral - prevention & control
SARS-CoV-2
Scholarships & fellowships
Taxonomy
Time Factors
Title Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”
URI https://link.springer.com/article/10.1007/s11538-020-00726-x
https://www.ncbi.nlm.nih.gov/pubmed/32270376
https://www.proquest.com/docview/2387712508
https://www.proquest.com/docview/2388002821
https://pubmed.ncbi.nlm.nih.gov/PMC7140590
Volume 82
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