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The Failure of R (0)
The basic reproductive ratio, R (0), is one of the fundamental concepts in mathematical biology. It is a threshold parameter, intended to quantify the spread of disease by estimating the average number of secondary infections in a wholly susceptible population, giving an indication of the invasion s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157160/ https://www.ncbi.nlm.nih.gov/pubmed/21860658 http://dx.doi.org/10.1155/2011/527610 |
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author | Li, Jing Blakeley, Daniel Smith?, Robert J. |
author_facet | Li, Jing Blakeley, Daniel Smith?, Robert J. |
author_sort | Li, Jing |
collection | PubMed |
description | The basic reproductive ratio, R (0), is one of the fundamental concepts in mathematical biology. It is a threshold parameter, intended to quantify the spread of disease by estimating the average number of secondary infections in a wholly susceptible population, giving an indication of the invasion strength of an epidemic: if R (0) < 1, the disease dies out, whereas if R (0) > 1, the disease persists. R (0) has been widely used as a measure of disease strength to estimate the effectiveness of control measures and to form the backbone of disease-management policy. However, in almost every aspect that matters, R (0) is flawed. Diseases can persist with R (0) < 1, while diseases with R (0) > 1 can die out. We show that the same model of malaria gives many different values of R (0), depending on the method used, with the sole common property that they have a threshold at 1. We also survey estimated values of R (0) for a variety of diseases, and examine some of the alternatives that have been proposed. If R (0) is to be used, it must be accompanied by caveats about the method of calculation, underlying model assumptions and evidence that it is actually a threshold. Otherwise, the concept is meaningless. |
format | Online Article Text |
id | pubmed-3157160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31571602011-08-22 The Failure of R (0) Li, Jing Blakeley, Daniel Smith?, Robert J. Comput Math Methods Med Review Article The basic reproductive ratio, R (0), is one of the fundamental concepts in mathematical biology. It is a threshold parameter, intended to quantify the spread of disease by estimating the average number of secondary infections in a wholly susceptible population, giving an indication of the invasion strength of an epidemic: if R (0) < 1, the disease dies out, whereas if R (0) > 1, the disease persists. R (0) has been widely used as a measure of disease strength to estimate the effectiveness of control measures and to form the backbone of disease-management policy. However, in almost every aspect that matters, R (0) is flawed. Diseases can persist with R (0) < 1, while diseases with R (0) > 1 can die out. We show that the same model of malaria gives many different values of R (0), depending on the method used, with the sole common property that they have a threshold at 1. We also survey estimated values of R (0) for a variety of diseases, and examine some of the alternatives that have been proposed. If R (0) is to be used, it must be accompanied by caveats about the method of calculation, underlying model assumptions and evidence that it is actually a threshold. Otherwise, the concept is meaningless. Hindawi Publishing Corporation 2011 2011-08-16 /pmc/articles/PMC3157160/ /pubmed/21860658 http://dx.doi.org/10.1155/2011/527610 Text en Copyright © 2011 Jing Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Li, Jing Blakeley, Daniel Smith?, Robert J. The Failure of R (0) |
title | The Failure of R
(0)
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title_full | The Failure of R
(0)
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title_fullStr | The Failure of R
(0)
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title_full_unstemmed | The Failure of R
(0)
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title_short | The Failure of R
(0)
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title_sort | failure of r
(0) |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157160/ https://www.ncbi.nlm.nih.gov/pubmed/21860658 http://dx.doi.org/10.1155/2011/527610 |
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