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A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015

Tuberculosis (TB) remains a public health threat in low TB incidence countries, through a combination of reactivated disease and onward transmission. Using surveillance data from the United Kingdom (UK) and the Netherlands (NL), we demonstrate a simple and predictable relationship between the probab...

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Autores principales: Brooks-Pollock, Ellen, Danon, Leon, Korthals Altes, Hester, Davidson, Jennifer A., Pollock, Andrew M. T., van Soolingen, Dick, Campbell, Colin, Lalor, Maeve K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141699/
https://www.ncbi.nlm.nih.gov/pubmed/32218567
http://dx.doi.org/10.1371/journal.pcbi.1007687
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author Brooks-Pollock, Ellen
Danon, Leon
Korthals Altes, Hester
Davidson, Jennifer A.
Pollock, Andrew M. T.
van Soolingen, Dick
Campbell, Colin
Lalor, Maeve K.
author_facet Brooks-Pollock, Ellen
Danon, Leon
Korthals Altes, Hester
Davidson, Jennifer A.
Pollock, Andrew M. T.
van Soolingen, Dick
Campbell, Colin
Lalor, Maeve K.
author_sort Brooks-Pollock, Ellen
collection PubMed
description Tuberculosis (TB) remains a public health threat in low TB incidence countries, through a combination of reactivated disease and onward transmission. Using surveillance data from the United Kingdom (UK) and the Netherlands (NL), we demonstrate a simple and predictable relationship between the probability of observing a cluster and its size (the number of cases with a single genotype). We demonstrate that the full range of observed cluster sizes can be described using a modified branching process model with the individual reproduction number following a Poisson lognormal distribution. We estimate that, on average, between 2010 and 2015, a TB case generated 0.41 (95% CrI 0.30,0.60) secondary cases in the UK, and 0.24 (0.14,0.48) secondary cases in the NL. A majority of cases did not generate any secondary cases. Recent transmission accounted for 39% (26%,60%) of UK cases and 23%(13%,37%) of NL cases. We predict that reducing UK transmission rates to those observed in the NL would result in 538(266,818) fewer cases annually in the UK. In conclusion, while TB in low incidence countries is strongly associated with reactivated infections, we demonstrate that recent transmission remains sufficient to warrant policies aimed at limiting local TB spread.
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spelling pubmed-71416992020-04-16 A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015 Brooks-Pollock, Ellen Danon, Leon Korthals Altes, Hester Davidson, Jennifer A. Pollock, Andrew M. T. van Soolingen, Dick Campbell, Colin Lalor, Maeve K. PLoS Comput Biol Research Article Tuberculosis (TB) remains a public health threat in low TB incidence countries, through a combination of reactivated disease and onward transmission. Using surveillance data from the United Kingdom (UK) and the Netherlands (NL), we demonstrate a simple and predictable relationship between the probability of observing a cluster and its size (the number of cases with a single genotype). We demonstrate that the full range of observed cluster sizes can be described using a modified branching process model with the individual reproduction number following a Poisson lognormal distribution. We estimate that, on average, between 2010 and 2015, a TB case generated 0.41 (95% CrI 0.30,0.60) secondary cases in the UK, and 0.24 (0.14,0.48) secondary cases in the NL. A majority of cases did not generate any secondary cases. Recent transmission accounted for 39% (26%,60%) of UK cases and 23%(13%,37%) of NL cases. We predict that reducing UK transmission rates to those observed in the NL would result in 538(266,818) fewer cases annually in the UK. In conclusion, while TB in low incidence countries is strongly associated with reactivated infections, we demonstrate that recent transmission remains sufficient to warrant policies aimed at limiting local TB spread. Public Library of Science 2020-03-27 /pmc/articles/PMC7141699/ /pubmed/32218567 http://dx.doi.org/10.1371/journal.pcbi.1007687 Text en © 2020 Brooks-Pollock et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Brooks-Pollock, Ellen
Danon, Leon
Korthals Altes, Hester
Davidson, Jennifer A.
Pollock, Andrew M. T.
van Soolingen, Dick
Campbell, Colin
Lalor, Maeve K.
A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015
title A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015
title_full A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015
title_fullStr A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015
title_full_unstemmed A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015
title_short A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015
title_sort model of tuberculosis clustering in low incidence countries reveals more transmission in the united kingdom than the netherlands between 2010 and 2015
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141699/
https://www.ncbi.nlm.nih.gov/pubmed/32218567
http://dx.doi.org/10.1371/journal.pcbi.1007687
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