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Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain

The number of cattle herds placed under movement restrictions in Great Britain (GB) due to the suspected presence of bovine tuberculosis (bTB) has progressively increased over the past 25 years despite an intensive and costly test-and-slaughter control program. Around 38% of herds that clear movemen...

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Autores principales: Conlan, Andrew J. K., McKinley, Trevelyan J., Karolemeas, Katerina, Pollock, Ellen Brooks, Goodchild, Anthony V., Mitchell, Andrew P., Birch, Colin P. D., Clifton-Hadley, Richard S., Wood, James L. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475695/
https://www.ncbi.nlm.nih.gov/pubmed/23093923
http://dx.doi.org/10.1371/journal.pcbi.1002730
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author Conlan, Andrew J. K.
McKinley, Trevelyan J.
Karolemeas, Katerina
Pollock, Ellen Brooks
Goodchild, Anthony V.
Mitchell, Andrew P.
Birch, Colin P. D.
Clifton-Hadley, Richard S.
Wood, James L. N.
author_facet Conlan, Andrew J. K.
McKinley, Trevelyan J.
Karolemeas, Katerina
Pollock, Ellen Brooks
Goodchild, Anthony V.
Mitchell, Andrew P.
Birch, Colin P. D.
Clifton-Hadley, Richard S.
Wood, James L. N.
author_sort Conlan, Andrew J. K.
collection PubMed
description The number of cattle herds placed under movement restrictions in Great Britain (GB) due to the suspected presence of bovine tuberculosis (bTB) has progressively increased over the past 25 years despite an intensive and costly test-and-slaughter control program. Around 38% of herds that clear movement restrictions experience a recurrent incident (breakdown) within 24 months, suggesting that infection may be persisting within herds. Reactivity to tuberculin, the basis of diagnostic testing, is dependent on the time from infection. Thus, testing efficiency varies between outbreaks, depending on weight of transmission and cannot be directly estimated. In this paper, we use Approximate Bayesian Computation (ABC) to parameterize two within-herd transmission models within a rigorous inferential framework. Previous within-herd models of bTB have relied on ad-hoc methods of parameterization and used a single model structure (SORI) where animals are assumed to become detectable by testing before they become infectious. We study such a conventional within-herd model of bTB and an alternative model, motivated by recent animal challenge studies, where there is no period of epidemiological latency before animals become infectious (SOR). Under both models we estimate that cattle-to-cattle transmission rates are non-linearly density dependent. The basic reproductive ratio for our conventional within-herd model, estimated for scenarios with no statutory controls, increases from 1.5 (0.26–4.9; 95% CI) in a herd of 30 cattle up to 4.9 (0.99–14.0) in a herd of 400. Under this model we estimate that 50% (33–67) of recurrent breakdowns in Britain can be attributed to infection missed by tuberculin testing. However this figure falls to 24% (11–42) of recurrent breakdowns under our alternative model. Under both models the estimated extrinsic force of infection increases with the burden of missed infection. Hence, improved herd-level testing is unlikely to reduce recurrence unless this extrinsic infectious pressure is simultaneously addressed.
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spelling pubmed-34756952012-10-23 Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain Conlan, Andrew J. K. McKinley, Trevelyan J. Karolemeas, Katerina Pollock, Ellen Brooks Goodchild, Anthony V. Mitchell, Andrew P. Birch, Colin P. D. Clifton-Hadley, Richard S. Wood, James L. N. PLoS Comput Biol Research Article The number of cattle herds placed under movement restrictions in Great Britain (GB) due to the suspected presence of bovine tuberculosis (bTB) has progressively increased over the past 25 years despite an intensive and costly test-and-slaughter control program. Around 38% of herds that clear movement restrictions experience a recurrent incident (breakdown) within 24 months, suggesting that infection may be persisting within herds. Reactivity to tuberculin, the basis of diagnostic testing, is dependent on the time from infection. Thus, testing efficiency varies between outbreaks, depending on weight of transmission and cannot be directly estimated. In this paper, we use Approximate Bayesian Computation (ABC) to parameterize two within-herd transmission models within a rigorous inferential framework. Previous within-herd models of bTB have relied on ad-hoc methods of parameterization and used a single model structure (SORI) where animals are assumed to become detectable by testing before they become infectious. We study such a conventional within-herd model of bTB and an alternative model, motivated by recent animal challenge studies, where there is no period of epidemiological latency before animals become infectious (SOR). Under both models we estimate that cattle-to-cattle transmission rates are non-linearly density dependent. The basic reproductive ratio for our conventional within-herd model, estimated for scenarios with no statutory controls, increases from 1.5 (0.26–4.9; 95% CI) in a herd of 30 cattle up to 4.9 (0.99–14.0) in a herd of 400. Under this model we estimate that 50% (33–67) of recurrent breakdowns in Britain can be attributed to infection missed by tuberculin testing. However this figure falls to 24% (11–42) of recurrent breakdowns under our alternative model. Under both models the estimated extrinsic force of infection increases with the burden of missed infection. Hence, improved herd-level testing is unlikely to reduce recurrence unless this extrinsic infectious pressure is simultaneously addressed. Public Library of Science 2012-10-18 /pmc/articles/PMC3475695/ /pubmed/23093923 http://dx.doi.org/10.1371/journal.pcbi.1002730 Text en © 2012 Crown Copyright https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Conlan, Andrew J. K.
McKinley, Trevelyan J.
Karolemeas, Katerina
Pollock, Ellen Brooks
Goodchild, Anthony V.
Mitchell, Andrew P.
Birch, Colin P. D.
Clifton-Hadley, Richard S.
Wood, James L. N.
Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain
title Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain
title_full Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain
title_fullStr Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain
title_full_unstemmed Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain
title_short Estimating the Hidden Burden of Bovine Tuberculosis in Great Britain
title_sort estimating the hidden burden of bovine tuberculosis in great britain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475695/
https://www.ncbi.nlm.nih.gov/pubmed/23093923
http://dx.doi.org/10.1371/journal.pcbi.1002730
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