How far away do you keep your equines? Estimation of the equine population’s spatial distribution in France.
Abstract: It is essential to have an accurate picture of the spatial distribution of equines to be able to monitor equine health events effectively. In France, this information is only available for certain categories of live equines kept in professional structures and for dead equines removed by renderers. This limits the surveillance, prevention and control methods able to be used to prevent the spread of equine diseases. Our study aimed to provide a realistic estimate of the spatial distribution of the French equine population at the detailed scale of the French commune (France's smallest administrative unit). For this purpose, we adapted the Bayesian method used by Lo Lacono et al., based on the distance between the owner's location and the location of his/her equines, and on the percentage of urban coverage. To assess whether the location of dead equines could be representative of the location of live equines, the distribution of distances between equines and owners was calculated from a sample of live equines on the one hand, and a sample of dead equines on the other, both accurately located. We also tested two different assignment methods for locating equines: Method 1 assigned to each owner a single holding commune, while Method 2 allowed more variability in holding communes for owners associated with multiple equines. A marked difference was observed between Methods 1 and 2 regardless of the sample used, with only 2.4% and 4.3% respectively of the communes having the same number of equines. Conversely, little difference was observed in the results whether the live or dead equine sample was used, with approximately 45% of the communes having the same number of equines. Regarding differences in spatial distribution, Method 1 based on the live equine sample estimated higher local densities of equines without considering urban areas. In contrast, Method 2 provided more dispersed maps, with low densities in the densest urban areas. In conclusion, dead equines appeared to be representative of live equines and some of our estimates are consistent with the information collected by the French horse and riding institute (IFCE). These results now have to be compared with field data to test their relevance.
Copyright © 2022 Elsevier B.V. All rights reserved.
Publication Date: 2022-03-28 PubMed ID: 35429841DOI: 10.1016/j.prevetmed.2022.105631Google Scholar: Lookup
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Summary
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This research aims to provide insights into estimating the spatial distribution of equines (horses, ponies, etc.) in France to better inform and improve healthcare measures used to prevent equine disease spread. It uses a Bayesian method considering factors such as distance from owner’s location and percentage of urban coverage, comparing results from two different assignment methods.
Research Methodology
- The researchers adapted a Bayesian method from Lo Iacono et al., considering both the distance between the equine owner’s location and the equine’s location, and the percentage of urban coverage.
- The team used two distinct methodologies to test the distribution estimation process. Method 1 assigned each owner a single holding commune (the smallest administrative unit in France), while Method 2 allowed greater variability in holding communes for owners with multiple equines.
- They also compiled samples of live and dead equines to ascertain if the location of dead equines could help determine the location of live equines. Both samples were accurately located for comparison.
Results and Findings
- A marked difference was found between the two methodologies – method 1 and 2 had just 2.4% and 4.3% of communes respectively having the same number of equines.
- The comparison between live or dead equine samples showed little difference, with about 45% of the communes having the same number of equines.
- Regarding urban vs rural distribution, Method 1 indicated higher local densities of equines without considering urban areas, while Method 2 showed more dispersed equine populations, with lower densities in the most densely populated urban areas.
Conclusion and Future Steps
- The researchers concluded that the distribution of dead equines could be representative of live equines, which is valuable for disease control and prevention strategies.
- Some estimates align with information from the French horse and riding institute (IFCE), providing additional validation to the methods employed.
- As a next step, these results will need to be compared with field data to further determine their accuracy and relevance.
Cite This Article
APA
Farchati H, Durand B, Marsot M, Garon D, Tapprest J, Sala C.
(2022).
How far away do you keep your equines? Estimation of the equine population’s spatial distribution in France.
Prev Vet Med, 204, 105631.
https://doi.org/10.1016/j.prevetmed.2022.105631 Publication
Researcher Affiliations
- Laboratory for Animal Health in Normandy, Physiopathology and Epidemiology of Equine Diseases Unit, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), F14430 Goustranville, France; Normandy University, UNICAEN, Centre F. Baclesse, UR ABTE EA 4651, 14000 Caen, France; University of Lyon, Epidemiology and Support to Surveillance Unit, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), 31, avenue Tony Garnier, F69364 Lyon Cedex 07, France. Electronic address: farchatihalifa@gmail.com.
- Epidemiology Unit, Laboratory for Animal Health, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), 94700 Maisons-Alfort, France.
- Epidemiology Unit, Laboratory for Animal Health, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), 94700 Maisons-Alfort, France.
- Normandy University, UNICAEN, Centre F. Baclesse, UR ABTE EA 4651, 14000 Caen, France.
- Laboratory for Animal Health in Normandy, Physiopathology and Epidemiology of Equine Diseases Unit, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), F14430 Goustranville, France.
- University of Lyon, Epidemiology and Support to Surveillance Unit, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), 31, avenue Tony Garnier, F69364 Lyon Cedex 07, France.
MeSH Terms
- Animals
- Bayes Theorem
- Female
- France / epidemiology
- Horse Diseases / epidemiology
- Horse Diseases / prevention & control
- Horses
- Male
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