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A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd

Before an efficient control strategy for livestock-associated methicillin resistant Staphylococcus aureus (LA-MRSA) in pigs can be decided upon, it is necessary to obtain a better understanding of how LA-MRSA spreads and persists within a pig herd, once it is introduced. We here present a mechanisti...

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Autores principales: Sørensen, Anna Irene Vedel, Toft, Nils, Boklund, Anette, Espinosa-Gongora, Carmen, Græsbøll, Kaare, Larsen, Jesper, Halasa, Tariq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705068/
https://www.ncbi.nlm.nih.gov/pubmed/29182655
http://dx.doi.org/10.1371/journal.pone.0188429
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author Sørensen, Anna Irene Vedel
Toft, Nils
Boklund, Anette
Espinosa-Gongora, Carmen
Græsbøll, Kaare
Larsen, Jesper
Halasa, Tariq
author_facet Sørensen, Anna Irene Vedel
Toft, Nils
Boklund, Anette
Espinosa-Gongora, Carmen
Græsbøll, Kaare
Larsen, Jesper
Halasa, Tariq
author_sort Sørensen, Anna Irene Vedel
collection PubMed
description Before an efficient control strategy for livestock-associated methicillin resistant Staphylococcus aureus (LA-MRSA) in pigs can be decided upon, it is necessary to obtain a better understanding of how LA-MRSA spreads and persists within a pig herd, once it is introduced. We here present a mechanistic stochastic discrete-event simulation model for spread of LA-MRSA within a farrow-to-finish sow herd to aid in this. The model was individual-based and included three different disease compartments: susceptible, intermittent or persistent shedder of MRSA. The model was used for studying transmission dynamics and within-farm prevalence after different introductions of LA-MRSA into a farm. The spread of LA-MRSA throughout the farm mainly followed the movement of pigs. After spread of LA-MRSA had reached equilibrium, the prevalence of LA-MRSA shedders was predicted to be highest in the farrowing unit, independent of how LA-MRSA was introduced. LA-MRSA took longer to spread to the whole herd if introduced in the finisher stable, rather than by gilts in the mating stable. The more LA-MRSA positive animals introduced, the shorter time before the prevalence in the herd stabilised. Introduction of a low number of intermittently shedding pigs was predicted to frequently result in LA-MRSA fading out. The model is a potential decision support tool for assessments of short and long term consequences of proposed intervention strategies or surveillance options for LA-MRSA within pig herds.
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spelling pubmed-57050682017-12-08 A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd Sørensen, Anna Irene Vedel Toft, Nils Boklund, Anette Espinosa-Gongora, Carmen Græsbøll, Kaare Larsen, Jesper Halasa, Tariq PLoS One Research Article Before an efficient control strategy for livestock-associated methicillin resistant Staphylococcus aureus (LA-MRSA) in pigs can be decided upon, it is necessary to obtain a better understanding of how LA-MRSA spreads and persists within a pig herd, once it is introduced. We here present a mechanistic stochastic discrete-event simulation model for spread of LA-MRSA within a farrow-to-finish sow herd to aid in this. The model was individual-based and included three different disease compartments: susceptible, intermittent or persistent shedder of MRSA. The model was used for studying transmission dynamics and within-farm prevalence after different introductions of LA-MRSA into a farm. The spread of LA-MRSA throughout the farm mainly followed the movement of pigs. After spread of LA-MRSA had reached equilibrium, the prevalence of LA-MRSA shedders was predicted to be highest in the farrowing unit, independent of how LA-MRSA was introduced. LA-MRSA took longer to spread to the whole herd if introduced in the finisher stable, rather than by gilts in the mating stable. The more LA-MRSA positive animals introduced, the shorter time before the prevalence in the herd stabilised. Introduction of a low number of intermittently shedding pigs was predicted to frequently result in LA-MRSA fading out. The model is a potential decision support tool for assessments of short and long term consequences of proposed intervention strategies or surveillance options for LA-MRSA within pig herds. Public Library of Science 2017-11-28 /pmc/articles/PMC5705068/ /pubmed/29182655 http://dx.doi.org/10.1371/journal.pone.0188429 Text en © 2017 Sørensen 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
Sørensen, Anna Irene Vedel
Toft, Nils
Boklund, Anette
Espinosa-Gongora, Carmen
Græsbøll, Kaare
Larsen, Jesper
Halasa, Tariq
A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd
title A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd
title_full A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd
title_fullStr A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd
title_full_unstemmed A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd
title_short A mechanistic model for spread of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) within a pig herd
title_sort mechanistic model for spread of livestock-associated methicillin-resistant staphylococcus aureus (la-mrsa) within a pig herd
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705068/
https://www.ncbi.nlm.nih.gov/pubmed/29182655
http://dx.doi.org/10.1371/journal.pone.0188429
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