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Inferring R(0) in emerging epidemics—the effect of common population structure is small
When controlling an emerging outbreak of an infectious disease, it is essential to know the key epidemiological parameters, such as the basic reproduction number R(0) and the control effort required to prevent a large outbreak. These parameters are estimated from the observed incidence of new cases...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014060/ https://www.ncbi.nlm.nih.gov/pubmed/27581480 http://dx.doi.org/10.1098/rsif.2016.0288 |
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author | Trapman, Pieter Ball, Frank Dhersin, Jean-Stéphane Tran, Viet Chi Wallinga, Jacco Britton, Tom |
author_facet | Trapman, Pieter Ball, Frank Dhersin, Jean-Stéphane Tran, Viet Chi Wallinga, Jacco Britton, Tom |
author_sort | Trapman, Pieter |
collection | PubMed |
description | When controlling an emerging outbreak of an infectious disease, it is essential to know the key epidemiological parameters, such as the basic reproduction number R(0) and the control effort required to prevent a large outbreak. These parameters are estimated from the observed incidence of new cases and information about the infectious contact structures of the population in which the disease spreads. However, the relevant infectious contact structures for new, emerging infections are often unknown or hard to obtain. Here, we show that, for many common true underlying heterogeneous contact structures, the simplification to neglect such structures and instead assume that all contacts are made homogeneously in the whole population results in conservative estimates for R(0) and the required control effort. This means that robust control policies can be planned during the early stages of an outbreak, using such conservative estimates of the required control effort. |
format | Online Article Text |
id | pubmed-5014060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-50140602016-09-14 Inferring R(0) in emerging epidemics—the effect of common population structure is small Trapman, Pieter Ball, Frank Dhersin, Jean-Stéphane Tran, Viet Chi Wallinga, Jacco Britton, Tom J R Soc Interface Life Sciences–Mathematics interface When controlling an emerging outbreak of an infectious disease, it is essential to know the key epidemiological parameters, such as the basic reproduction number R(0) and the control effort required to prevent a large outbreak. These parameters are estimated from the observed incidence of new cases and information about the infectious contact structures of the population in which the disease spreads. However, the relevant infectious contact structures for new, emerging infections are often unknown or hard to obtain. Here, we show that, for many common true underlying heterogeneous contact structures, the simplification to neglect such structures and instead assume that all contacts are made homogeneously in the whole population results in conservative estimates for R(0) and the required control effort. This means that robust control policies can be planned during the early stages of an outbreak, using such conservative estimates of the required control effort. The Royal Society 2016-08 /pmc/articles/PMC5014060/ /pubmed/27581480 http://dx.doi.org/10.1098/rsif.2016.0288 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Mathematics interface Trapman, Pieter Ball, Frank Dhersin, Jean-Stéphane Tran, Viet Chi Wallinga, Jacco Britton, Tom Inferring R(0) in emerging epidemics—the effect of common population structure is small |
title | Inferring R(0) in emerging epidemics—the effect of common population structure is small |
title_full | Inferring R(0) in emerging epidemics—the effect of common population structure is small |
title_fullStr | Inferring R(0) in emerging epidemics—the effect of common population structure is small |
title_full_unstemmed | Inferring R(0) in emerging epidemics—the effect of common population structure is small |
title_short | Inferring R(0) in emerging epidemics—the effect of common population structure is small |
title_sort | inferring r(0) in emerging epidemics—the effect of common population structure is small |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014060/ https://www.ncbi.nlm.nih.gov/pubmed/27581480 http://dx.doi.org/10.1098/rsif.2016.0288 |
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