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Geographical information system analysis on road accidents involving wandering dogs in the urban area of Naples

机译:那不勒斯市区流浪狗道路事故地理信息系统分析

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In this study, the spatial distribution of road accidents involving wandering dogs on urban roads of Naples was assessed using kernel density estimation (KDE). The study included 423 dogs victim of road collisions in the period 2012-2015 collected from the medical records of Interdepartmental Centre of Veterinary Radiology, of Pathological Anatomy Service, of Veterinary Teaching Hospital, “Federico II” University of Naples, and of Veterinary Hospital Attendance of the Local Public Health Unit Napoli1. There were a significant prevalence of young male dogs and the KDE demonstrated the presence of five hotspots in five city neighbourhoods. All areas with the highest KDE were found to be peripheral zones in which wide green areas, uncultivated or cultivated, merged with built areas and crossed by large straight roads with a lot of intersections. Wandering dogs as other animals represent a mounting problem on urban roads in Italy, despite of the effort to reduce these populations. Better knowledge of this phenomenon is important with reference to taking countermeasures and improve road safety. It is also important with reference to One Health and the Decade of Action for Road Safety 2011- 2020 of the United Nations.
机译:在这项研究中,使用核密度估计(KDE)评估了那不勒斯城市道路上涉及流浪狗的道路交通事故的空间分布。该研究从2012年至2015年期间的423名因道路碰撞而受伤的狗中,这些动物是从兽医放射学部门间中心,病理解剖服务部门,那不勒斯“费德里科二世”兽医教学医院和兽医医院出诊的医疗记录中收集的那不勒斯地方公共卫生部门幼犬的流行率很高,KDE显示了五个城市社区中存在五个热点。人们发现,所有KDE最高的区域都是外围区域,在这些区域中,未经耕种或耕种的宽阔的绿色区域与建筑区域合并,并被具有许多交叉路口的大直路交叉。尽管努力减少这些人口,但流浪狗和其他动物一样,在意大利的城市道路上仍然是一个日益严重的问题。更好地了解这种现象对于采取对策和改善道路安全非常重要。关于“ 2011年至2020年联合国一个健康与道路安全行动十年”,这一点也很重要。

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