Cargando…
Sheep scab transmission: a spatially explicit dynamic metapopulation model
Psoroptic mange (sheep scab), caused by the parasitic mite, Psoroptes ovis, is an important disease of sheep worldwide. It causes chronic animal welfare issues and economic losses. Eradication of scab has proved impossible in many sheep-rearing areas and recent reports of resistance to macrocyclic l...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042976/ https://www.ncbi.nlm.nih.gov/pubmed/33845898 http://dx.doi.org/10.1186/s13567-021-00924-y |
_version_ | 1783678227453050880 |
---|---|
author | Nixon, Emily Brooks-Pollock, Ellen Wall, Richard |
author_facet | Nixon, Emily Brooks-Pollock, Ellen Wall, Richard |
author_sort | Nixon, Emily |
collection | PubMed |
description | Psoroptic mange (sheep scab), caused by the parasitic mite, Psoroptes ovis, is an important disease of sheep worldwide. It causes chronic animal welfare issues and economic losses. Eradication of scab has proved impossible in many sheep-rearing areas and recent reports of resistance to macrocyclic lactones, a key class of parasiticide, highlight the importance of improving approaches to scab management. To allow this, the current study aimed to develop a stochastic spatial metapopulation model for sheep scab transmission which can be adapted for use in any geographical region, exhibited here using data for Great Britain. The model uses agricultural survey and sheep movement data to geo-reference farms and capture realistic movement patterns. Reported data on sheep scab outbreaks from 1973 to 1991 were used for model fitting with Sequential Monte Carlo Approximate Bayesian Computation methods. The outbreak incidence predicted by the model was from the same statistical distribution as the reported outbreak data ([Formula: see text] = 115.3, p = 1) and the spatial location of sheep scab outbreaks predicted was positively correlated with the observed outbreak data by county ([Formula: see text] = 0.55, p < 0.001), confirming that the model developed is able to accurately capture the number of farms infected in a year, the seasonality of scab incidence and the spatial patterns seen in the data. This model gives insight into the transmission dynamics of sheep scab and will allow the exploration of more effective control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-021-00924-y. |
format | Online Article Text |
id | pubmed-8042976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80429762021-04-14 Sheep scab transmission: a spatially explicit dynamic metapopulation model Nixon, Emily Brooks-Pollock, Ellen Wall, Richard Vet Res Research Article Psoroptic mange (sheep scab), caused by the parasitic mite, Psoroptes ovis, is an important disease of sheep worldwide. It causes chronic animal welfare issues and economic losses. Eradication of scab has proved impossible in many sheep-rearing areas and recent reports of resistance to macrocyclic lactones, a key class of parasiticide, highlight the importance of improving approaches to scab management. To allow this, the current study aimed to develop a stochastic spatial metapopulation model for sheep scab transmission which can be adapted for use in any geographical region, exhibited here using data for Great Britain. The model uses agricultural survey and sheep movement data to geo-reference farms and capture realistic movement patterns. Reported data on sheep scab outbreaks from 1973 to 1991 were used for model fitting with Sequential Monte Carlo Approximate Bayesian Computation methods. The outbreak incidence predicted by the model was from the same statistical distribution as the reported outbreak data ([Formula: see text] = 115.3, p = 1) and the spatial location of sheep scab outbreaks predicted was positively correlated with the observed outbreak data by county ([Formula: see text] = 0.55, p < 0.001), confirming that the model developed is able to accurately capture the number of farms infected in a year, the seasonality of scab incidence and the spatial patterns seen in the data. This model gives insight into the transmission dynamics of sheep scab and will allow the exploration of more effective control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-021-00924-y. BioMed Central 2021-04-12 2021 /pmc/articles/PMC8042976/ /pubmed/33845898 http://dx.doi.org/10.1186/s13567-021-00924-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nixon, Emily Brooks-Pollock, Ellen Wall, Richard Sheep scab transmission: a spatially explicit dynamic metapopulation model |
title | Sheep scab transmission: a spatially explicit dynamic metapopulation model |
title_full | Sheep scab transmission: a spatially explicit dynamic metapopulation model |
title_fullStr | Sheep scab transmission: a spatially explicit dynamic metapopulation model |
title_full_unstemmed | Sheep scab transmission: a spatially explicit dynamic metapopulation model |
title_short | Sheep scab transmission: a spatially explicit dynamic metapopulation model |
title_sort | sheep scab transmission: a spatially explicit dynamic metapopulation model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042976/ https://www.ncbi.nlm.nih.gov/pubmed/33845898 http://dx.doi.org/10.1186/s13567-021-00924-y |
work_keys_str_mv | AT nixonemily sheepscabtransmissionaspatiallyexplicitdynamicmetapopulationmodel AT brookspollockellen sheepscabtransmissionaspatiallyexplicitdynamicmetapopulationmodel AT wallrichard sheepscabtransmissionaspatiallyexplicitdynamicmetapopulationmodel |