Limits...
Summary of current knowledge of the size and spatial distribution of the horse population within Great Britain.

Boden LA, Parkin TD, Yates J, Mellor D, Kao RR - BMC Vet. Res. (2012)

Bottom Line: Robust demographic information is important to understanding the risk of introduction and spread of exotic diseases as well as the development of effective disease control strategies, but is often based on datasets collected for other purposes.Otherwise, at a regional resolution, there are few differences between the datasets.Despite this, the similarity in distributions of these datasets is re-assuring, suggesting that there are few regional biases in the NED.

View Article: PubMed Central - HTML - PubMed

Affiliation: Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow G61 1QH, UK. Lisa.Boden@glasgow.ac.uk

ABSTRACT

Background: Robust demographic information is important to understanding the risk of introduction and spread of exotic diseases as well as the development of effective disease control strategies, but is often based on datasets collected for other purposes. Thus, it is important to validate, or at least cross-reference these datasets to other sources to assess whether they are being used appropriately. The aim of this study was to use horse location data collected from different contributing industry sectors ("Stakeholder horse data") to calibrate the spatial distribution of horses as indicated by owner locations registered in the National Equine Database (the NED).

Results: A conservative estimate for the accurately geo-located NED horse population within GB is approximately 840,000 horses. This is likely to be an underestimate because of the exclusion of horses due to age or location criteria. In both datasets, horse density was higher in England and Wales than in Scotland. The high density of horses located in urban areas as indicated in the NED is consistent with previous reports indicating that owner location cannot always be viewed as a direct substitute for horse location. Otherwise, at a regional resolution, there are few differences between the datasets. There are inevitable biases in the stakeholder data, and leisure horses that are unaffiliated to major stakeholders are not included in these data. Despite this, the similarity in distributions of these datasets is re-assuring, suggesting that there are few regional biases in the NED.

Conclusions: Our analyses suggest that stakeholder data could be used to monitor possible changes in horse demographics. Given such changes in horse demographics and the advantages of stakeholder data (which include annual updates and accurate horse location), it may be appropriate to use these data for future disease modelling in conjunction with, if not in place of the NED.

Show MeSH
Comparison between the NED owner and Stakeholder horse data compiled from other sources describing the distribution of the density (per 10 km2) of owners/horses within postcode areas within regions within Great Britain (East England (E), Greater London (GL), East Midlands (EM), West Midlands (WM), North East (NE), North West (NW), Yorkshire and Humber (YH), South East (SE), South West (SW), Wales and Scotland). The density of horses in London (GL) in the NED owner dataset is considerably higher than that in the Stakeholder horse dataset. Otherwise, at a regional level, NED owner and Stakeholder horse datasets appear to be very similar.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3351363&req=5

Figure 1: Comparison between the NED owner and Stakeholder horse data compiled from other sources describing the distribution of the density (per 10 km2) of owners/horses within postcode areas within regions within Great Britain (East England (E), Greater London (GL), East Midlands (EM), West Midlands (WM), North East (NE), North West (NW), Yorkshire and Humber (YH), South East (SE), South West (SW), Wales and Scotland). The density of horses in London (GL) in the NED owner dataset is considerably higher than that in the Stakeholder horse dataset. Otherwise, at a regional level, NED owner and Stakeholder horse datasets appear to be very similar.

Mentions: The distribution of horses per postcode area within each region within mainland GB is described for the NED owner and Stakeholder horse datasets in Figure 1. Maps of the density of horses per postcode area using the NED owner and Stakeholder horse datasets are illustrated in Figure 2. The majority of horses are concentrated in England (82% in both datasets), with a smaller percentage of horses residing in Wales (11% the NED owner dataset, 9% Stakeholder horse dataset) and Scotland (7% the NED owner dataset, 8% Stakeholder horse dataset). Estimated horse density was greater in England (51 horses per 10 km2 in both datasets) and Wales (54 per 10 km2 in the NED owner dataset; 48 horses per 10 km2 in Stakeholder horse dataset) than in Scotland (7 horses per 10 km2 in the NED owner dataset, 9 horses per 10 km2 in Stakeholder horse dataset). The NED ascribes a London address to 7,432 horses (0.88% of all horses with a valid postcode area) whereas the Stakeholder horse dataset ascribes a London address to 1,749 horses (0.21% of all horses with a valid postcode area). In the NED owner data, London had the greatest density of horses (104 horses per 10 km2), whereas London had the lowest density of horses in England in the Stakeholder horse dataset (25 horses per 10 km2). In Wales, Cardiff had the greatest density of horses reported in both datasets, although this was higher in the NED owner dataset compared to that of the Stakeholder horse dataset (102 horses per 10 km2 and 72 horses per10 km2, respectively). In Scotland, the greatest density of horses was reported in the Kircaldy postcode area in both datasets (23 per 10 km2 in the NED owner dataset; 32 horses per 10 km2 in Stakeholder horse dataset).


Summary of current knowledge of the size and spatial distribution of the horse population within Great Britain.

Boden LA, Parkin TD, Yates J, Mellor D, Kao RR - BMC Vet. Res. (2012)

Comparison between the NED owner and Stakeholder horse data compiled from other sources describing the distribution of the density (per 10 km2) of owners/horses within postcode areas within regions within Great Britain (East England (E), Greater London (GL), East Midlands (EM), West Midlands (WM), North East (NE), North West (NW), Yorkshire and Humber (YH), South East (SE), South West (SW), Wales and Scotland). The density of horses in London (GL) in the NED owner dataset is considerably higher than that in the Stakeholder horse dataset. Otherwise, at a regional level, NED owner and Stakeholder horse datasets appear to be very similar.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3351363&req=5

Figure 1: Comparison between the NED owner and Stakeholder horse data compiled from other sources describing the distribution of the density (per 10 km2) of owners/horses within postcode areas within regions within Great Britain (East England (E), Greater London (GL), East Midlands (EM), West Midlands (WM), North East (NE), North West (NW), Yorkshire and Humber (YH), South East (SE), South West (SW), Wales and Scotland). The density of horses in London (GL) in the NED owner dataset is considerably higher than that in the Stakeholder horse dataset. Otherwise, at a regional level, NED owner and Stakeholder horse datasets appear to be very similar.
Mentions: The distribution of horses per postcode area within each region within mainland GB is described for the NED owner and Stakeholder horse datasets in Figure 1. Maps of the density of horses per postcode area using the NED owner and Stakeholder horse datasets are illustrated in Figure 2. The majority of horses are concentrated in England (82% in both datasets), with a smaller percentage of horses residing in Wales (11% the NED owner dataset, 9% Stakeholder horse dataset) and Scotland (7% the NED owner dataset, 8% Stakeholder horse dataset). Estimated horse density was greater in England (51 horses per 10 km2 in both datasets) and Wales (54 per 10 km2 in the NED owner dataset; 48 horses per 10 km2 in Stakeholder horse dataset) than in Scotland (7 horses per 10 km2 in the NED owner dataset, 9 horses per 10 km2 in Stakeholder horse dataset). The NED ascribes a London address to 7,432 horses (0.88% of all horses with a valid postcode area) whereas the Stakeholder horse dataset ascribes a London address to 1,749 horses (0.21% of all horses with a valid postcode area). In the NED owner data, London had the greatest density of horses (104 horses per 10 km2), whereas London had the lowest density of horses in England in the Stakeholder horse dataset (25 horses per 10 km2). In Wales, Cardiff had the greatest density of horses reported in both datasets, although this was higher in the NED owner dataset compared to that of the Stakeholder horse dataset (102 horses per 10 km2 and 72 horses per10 km2, respectively). In Scotland, the greatest density of horses was reported in the Kircaldy postcode area in both datasets (23 per 10 km2 in the NED owner dataset; 32 horses per 10 km2 in Stakeholder horse dataset).

Bottom Line: Robust demographic information is important to understanding the risk of introduction and spread of exotic diseases as well as the development of effective disease control strategies, but is often based on datasets collected for other purposes.Otherwise, at a regional resolution, there are few differences between the datasets.Despite this, the similarity in distributions of these datasets is re-assuring, suggesting that there are few regional biases in the NED.

View Article: PubMed Central - HTML - PubMed

Affiliation: Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, 464 Bearsden Road, Glasgow G61 1QH, UK. Lisa.Boden@glasgow.ac.uk

ABSTRACT

Background: Robust demographic information is important to understanding the risk of introduction and spread of exotic diseases as well as the development of effective disease control strategies, but is often based on datasets collected for other purposes. Thus, it is important to validate, or at least cross-reference these datasets to other sources to assess whether they are being used appropriately. The aim of this study was to use horse location data collected from different contributing industry sectors ("Stakeholder horse data") to calibrate the spatial distribution of horses as indicated by owner locations registered in the National Equine Database (the NED).

Results: A conservative estimate for the accurately geo-located NED horse population within GB is approximately 840,000 horses. This is likely to be an underestimate because of the exclusion of horses due to age or location criteria. In both datasets, horse density was higher in England and Wales than in Scotland. The high density of horses located in urban areas as indicated in the NED is consistent with previous reports indicating that owner location cannot always be viewed as a direct substitute for horse location. Otherwise, at a regional resolution, there are few differences between the datasets. There are inevitable biases in the stakeholder data, and leisure horses that are unaffiliated to major stakeholders are not included in these data. Despite this, the similarity in distributions of these datasets is re-assuring, suggesting that there are few regional biases in the NED.

Conclusions: Our analyses suggest that stakeholder data could be used to monitor possible changes in horse demographics. Given such changes in horse demographics and the advantages of stakeholder data (which include annual updates and accurate horse location), it may be appropriate to use these data for future disease modelling in conjunction with, if not in place of the NED.

Show MeSH