Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2

We propose a linear model of infection probability, and prove that this is a good approximation to a more refined model in which we assume infections come from a series of independent risks. We argue that the linearity assumption makes interpreting and using the model much easier, without significan...

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Detalles Bibliográficos
Autores principales: McCarthy, John E., Dumas, Bob A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302308/
https://www.ncbi.nlm.nih.gov/pubmed/32577699
http://dx.doi.org/10.1101/2020.06.04.20122549
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author McCarthy, John E.
Dumas, Bob A.
author_facet McCarthy, John E.
Dumas, Bob A.
author_sort McCarthy, John E.
collection PubMed
description We propose a linear model of infection probability, and prove that this is a good approximation to a more refined model in which we assume infections come from a series of independent risks. We argue that the linearity assumption makes interpreting and using the model much easier, without significantly diminishing the reliability of the model.
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spelling pubmed-73023082020-06-23 Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2 McCarthy, John E. Dumas, Bob A. medRxiv Article We propose a linear model of infection probability, and prove that this is a good approximation to a more refined model in which we assume infections come from a series of independent risks. We argue that the linearity assumption makes interpreting and using the model much easier, without significantly diminishing the reliability of the model. Cold Spring Harbor Laboratory 2020-06-08 /pmc/articles/PMC7302308/ /pubmed/32577699 http://dx.doi.org/10.1101/2020.06.04.20122549 Text en http://creativecommons.org/licenses/by/4.0/It is made available under a CC-BY 4.0 International license (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
McCarthy, John E.
Dumas, Bob A.
Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
title Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
title_full Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
title_fullStr Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
title_full_unstemmed Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
title_short Policy Implications of an Approximate Linear Infection Model for SARS-CoV-2
title_sort policy implications of an approximate linear infection model for sars-cov-2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302308/
https://www.ncbi.nlm.nih.gov/pubmed/32577699
http://dx.doi.org/10.1101/2020.06.04.20122549
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