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Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology

机译:用于研究未成年个体空间丰度的无人机系统:与空间流行病学的相关性

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摘要

Complex ecological and epidemiological systems require multidisciplinary and innovative research. Low cost unmanned aircraft systems (UAS) can provide information on the spatial pattern of hosts’ distribution and abundance, which is crucial as regards modelling the determinants of disease transmission and persistence on a fine spatial scale. In this context we have studied the spatial epidemiology of tuberculosis (TB) in the ungulate community of Doñana National Park (South-western Spain) by modelling species host (red deer, fallow deer and cattle) abundance at fine spatial scale. The use of UAS high-resolution images has allowed us to collect data to model the environmental determinants of host abundance, and in a further step to evaluate their relationships with the spatial risk of TB throughout the ungulate community. We discuss the ecological, epidemiological and logistic conditions under which UAS may contribute to study the wildlife/livestock sanitary interface, where the spatial aggregation of hosts becomes crucial. These findings are relevant for planning and implementing research, fundamentally when managing disease in multi-host systems, and focusing on risky areas. Therefore, managers should prioritize the implementation of control strategies to reduce disease of conservation, economic and social relevance.
机译:复杂的生态和流行病学系统需要多学科的创新研究。低成本的无人飞机系统(UAS)可以提供有关宿主分布和数量的空间格局的信息,这对于在精细的空间尺度上建模疾病传播和持久性的决定因素至关重要。在此背景下,我们通过在精细的空间尺度上对物种宿主(马鹿,小鹿和牛)的数量进行建模,研究了多纳纳国家公园(西班牙西南部)有蹄类动物群落的结核病(TB)空间流行病学。 UAS高分辨率图像的使用使我们能够收集数据以对宿主丰度的环境决定因素进行建模,并进一步评估它们与整个有蹄类动物群落与结核病空间风险的关系。我们讨论了UAS可能有助于研究野生动植物/家畜卫生界面的生态,流行病学和后勤条件,其中宿主的空间聚集变得至关重要。这些发现与计划和实施研究有关,从根本上说,是在多宿主系统中管理疾病时,并侧重于风险领域。因此,管理人员应优先执行控制策略,以减少疾病的保护,经济和社会意义。

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