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.
Epidemiology Unit, Laboratory for Animal Health, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), 94700 Maisons-Alfort, France.
Prev Vet Med. 2022 Jul;204:105631. doi: 10.1016/j.prevetmed.2022.105631. Epub 2022 Mar 28.
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.
为了能够有效地监测马属动物健康事件,必须准确了解马属动物的空间分布情况。在法国,这些信息仅适用于在专业机构中饲养的某些类别的活马属动物和由屠宰场处理的死马属动物。这限制了可用于防止马属动物疾病传播的监测、预防和控制方法。我们的研究旨在以法国公社(法国最小的行政单位)的详细尺度提供法国马属动物种群的现实估计。为此,我们根据所有者的位置与其马属动物的位置之间的距离以及城市覆盖的百分比,对 Lo Lacono 等人使用的贝叶斯方法进行了改编。为了评估死马属动物的位置是否可以代表活马属动物的位置,我们从活马属动物样本和死马属动物样本计算了马属动物和所有者之间的距离分布,这两个样本都经过了精确的定位。我们还测试了两种不同的方法来定位马属动物:方法 1 为每个所有者分配一个单一的养殖公社,而方法 2 允许与多个马属动物相关的所有者的养殖公社具有更大的可变性。无论使用哪种样本,方法 1 和方法 2 之间都存在明显差异,只有 2.4%和 4.3%的公社拥有相同数量的马属动物。相反,无论使用活马属动物样本还是死马属动物样本,结果差异都不大,大约 45%的公社拥有相同数量的马属动物。关于空间分布的差异,基于活马属动物样本的方法 1 估计了没有考虑城市地区的马属动物更高的局部密度。相比之下,方法 2 提供了更分散的地图,在最密集的城市地区密度较低。总之,死马属动物似乎代表了活马属动物,我们的一些估计与法国马和骑马研究所(IFCE)收集的信息一致。这些结果现在必须与实地数据进行比较,以检验其相关性。