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Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada
Horses are a highly mobile population, with many travelling locally, nationally, and internationally to participate in shows and sporting events. However, the nature and extent of these movements, as well as the potential impact they may have on disease introduction and spread, is not well documente...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6622551/ https://www.ncbi.nlm.nih.gov/pubmed/31295312 http://dx.doi.org/10.1371/journal.pone.0219771 |
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author | Spence, Kelsey L. O’Sullivan, Terri L. Poljak, Zvonimir Greer, Amy L. |
author_facet | Spence, Kelsey L. O’Sullivan, Terri L. Poljak, Zvonimir Greer, Amy L. |
author_sort | Spence, Kelsey L. |
collection | PubMed |
description | Horses are a highly mobile population, with many travelling locally, nationally, and internationally to participate in shows and sporting events. However, the nature and extent of these movements, as well as the potential impact they may have on disease introduction and spread, is not well documented. The objective of this study was to characterise the movement network of a sample of horses in Ontario, Canada, over a 7-month equestrian season. Horse owners (n = 141) documented their travel patterns with their horse(s) (n = 330) by completing monthly online questionnaires between May and November 2015. Directed networks were constructed to represent horse movements in 1-month time periods. A total of 1754 horse movements met the inclusion criteria for analysis. A variety of location types were included in each monthly network, with many including non-facilities such as parks, trails, and private farms. Only 34.3% of competitions attended by participants during the study period were regulated by an official equestrian organisation. Comparisons of the similarity between monthly networks indicated that participants did not travel to the same locations each month, and the most connected locations varied between consecutive months. While the findings should not be generalized to the wider horse population, they have provided greater insight into the nature and extent of observed horse movement patterns. The results support the need to better understand the variety of locations to which horses can travel in Ontario, as different types of locations may have different associated risks of disease introduction and spread. |
format | Online Article Text |
id | pubmed-6622551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66225512019-07-25 Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada Spence, Kelsey L. O’Sullivan, Terri L. Poljak, Zvonimir Greer, Amy L. PLoS One Research Article Horses are a highly mobile population, with many travelling locally, nationally, and internationally to participate in shows and sporting events. However, the nature and extent of these movements, as well as the potential impact they may have on disease introduction and spread, is not well documented. The objective of this study was to characterise the movement network of a sample of horses in Ontario, Canada, over a 7-month equestrian season. Horse owners (n = 141) documented their travel patterns with their horse(s) (n = 330) by completing monthly online questionnaires between May and November 2015. Directed networks were constructed to represent horse movements in 1-month time periods. A total of 1754 horse movements met the inclusion criteria for analysis. A variety of location types were included in each monthly network, with many including non-facilities such as parks, trails, and private farms. Only 34.3% of competitions attended by participants during the study period were regulated by an official equestrian organisation. Comparisons of the similarity between monthly networks indicated that participants did not travel to the same locations each month, and the most connected locations varied between consecutive months. While the findings should not be generalized to the wider horse population, they have provided greater insight into the nature and extent of observed horse movement patterns. The results support the need to better understand the variety of locations to which horses can travel in Ontario, as different types of locations may have different associated risks of disease introduction and spread. Public Library of Science 2019-07-11 /pmc/articles/PMC6622551/ /pubmed/31295312 http://dx.doi.org/10.1371/journal.pone.0219771 Text en © 2019 Spence 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 Spence, Kelsey L. O’Sullivan, Terri L. Poljak, Zvonimir Greer, Amy L. Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada |
title | Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada |
title_full | Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada |
title_fullStr | Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada |
title_full_unstemmed | Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada |
title_short | Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada |
title_sort | descriptive analysis of horse movement networks during the 2015 equestrian season in ontario, canada |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6622551/ https://www.ncbi.nlm.nih.gov/pubmed/31295312 http://dx.doi.org/10.1371/journal.pone.0219771 |
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