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Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle

Foot-and-mouth disease (FMD) can cause large disruptive epidemics in livestock. Current eradication measures rely on the rapid clinical detection and removal of infected herds. Here, we evaluated the potential for preclinical diagnosis during reactive surveillance to reduce the risk of between-farm...

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Autores principales: Nelson, Noel, Paton, David J., Gubbins, Simon, Colenutt, Claire, Brown, Emma, Hodgson, Sophia, Gonzales, Jose L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442523/
https://www.ncbi.nlm.nih.gov/pubmed/28330886
http://dx.doi.org/10.1128/JCM.00179-17
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author Nelson, Noel
Paton, David J.
Gubbins, Simon
Colenutt, Claire
Brown, Emma
Hodgson, Sophia
Gonzales, Jose L.
author_facet Nelson, Noel
Paton, David J.
Gubbins, Simon
Colenutt, Claire
Brown, Emma
Hodgson, Sophia
Gonzales, Jose L.
author_sort Nelson, Noel
collection PubMed
description Foot-and-mouth disease (FMD) can cause large disruptive epidemics in livestock. Current eradication measures rely on the rapid clinical detection and removal of infected herds. Here, we evaluated the potential for preclinical diagnosis during reactive surveillance to reduce the risk of between-farm transmission. We used data from transmission experiments in cattle where both samples from individual animals, such as blood, probang samples, and saliva and nasal swabs, and herd-level samples, such as air samples, were taken daily during the course of infection. The sensitivity of each of these sample types for the detection of infected cattle during different phases of the early infection period was quantified. The results were incorporated into a mathematical model for FMD, in a cattle herd, to evaluate the impact of the early detection and culling of an infected herd on the infectious output. The latter was expressed as the between-herd reproduction ratio, R(h), where an effective surveillance approach would lead to a reduction in the R(h) value to <1. Applying weekly surveillance, clinical inspection alone was found to be ineffective at blocking transmission. This was in contrast to the impact of weekly random sampling (i.e., using saliva swabs) of at least 10 animals per farm or daily air sampling (housed cattle), both of which were shown to reduce the R(h) to <1. In conclusion, preclinical detection during outbreaks has the potential to allow earlier culling of infected herds and thereby reduce transmission and aid the control of epidemics.
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spelling pubmed-54425232017-07-28 Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle Nelson, Noel Paton, David J. Gubbins, Simon Colenutt, Claire Brown, Emma Hodgson, Sophia Gonzales, Jose L. J Clin Microbiol Epidemiology Foot-and-mouth disease (FMD) can cause large disruptive epidemics in livestock. Current eradication measures rely on the rapid clinical detection and removal of infected herds. Here, we evaluated the potential for preclinical diagnosis during reactive surveillance to reduce the risk of between-farm transmission. We used data from transmission experiments in cattle where both samples from individual animals, such as blood, probang samples, and saliva and nasal swabs, and herd-level samples, such as air samples, were taken daily during the course of infection. The sensitivity of each of these sample types for the detection of infected cattle during different phases of the early infection period was quantified. The results were incorporated into a mathematical model for FMD, in a cattle herd, to evaluate the impact of the early detection and culling of an infected herd on the infectious output. The latter was expressed as the between-herd reproduction ratio, R(h), where an effective surveillance approach would lead to a reduction in the R(h) value to <1. Applying weekly surveillance, clinical inspection alone was found to be ineffective at blocking transmission. This was in contrast to the impact of weekly random sampling (i.e., using saliva swabs) of at least 10 animals per farm or daily air sampling (housed cattle), both of which were shown to reduce the R(h) to <1. In conclusion, preclinical detection during outbreaks has the potential to allow earlier culling of infected herds and thereby reduce transmission and aid the control of epidemics. American Society for Microbiology 2017-05-23 2017-06 /pmc/articles/PMC5442523/ /pubmed/28330886 http://dx.doi.org/10.1128/JCM.00179-17 Text en Copyright © 2017 Nelson et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Epidemiology
Nelson, Noel
Paton, David J.
Gubbins, Simon
Colenutt, Claire
Brown, Emma
Hodgson, Sophia
Gonzales, Jose L.
Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle
title Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle
title_full Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle
title_fullStr Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle
title_full_unstemmed Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle
title_short Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle
title_sort predicting the ability of preclinical diagnosis to improve control of farm-to-farm foot-and-mouth disease transmission in cattle
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442523/
https://www.ncbi.nlm.nih.gov/pubmed/28330886
http://dx.doi.org/10.1128/JCM.00179-17
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