论文标题
使用地形模型检测疟疾矢量育种栖息地
Detection of Malaria Vector Breeding Habitats using Topographic Models
论文作者
论文摘要
在大多数疟疾消除运动中，对停滞的水体的处理是疟疾媒介的繁殖地点。但是，在大区域上识别此类水体是昂贵的，劳动力密集的，耗时的，因此在资源有限的国家中挑战。可以有效地定位水体的实用模型可以通过大大减少需要被现场工作人员扫描的区域来瞄准有限的资源。为此，我们提出了一个基于易于可用的全球高分辨率DEM数据的实用地形模型，以预测潜在的矢量繁殖水位位置的位置。我们调查了加纳的Obuasi地区，以评估各种地形特征对不同类型的水体的影响，并揭示了显着影响水生栖息地形成的特征。我们进一步评估了多种模型的有效性。我们的最佳模型显着胜过早期尝试使用地形变量来检测小水位地点的尝试，甚至是利用其他卫星图像数据并在不同设置中证明鲁棒性的尝试。
Treatment of stagnant water bodies that act as a breeding site for malarial vectors is a fundamental step in most malaria elimination campaigns. However, identification of such water bodies over large areas is expensive, labour-intensive and time-consuming and hence, challenging in countries with limited resources. Practical models that can efficiently locate water bodies can target the limited resources by greatly reducing the area that needs to be scanned by the field workers. To this end, we propose a practical topographic model based on easily available, global, high-resolution DEM data to predict locations of potential vector-breeding water sites. We surveyed the Obuasi region of Ghana to assess the impact of various topographic features on different types of water bodies and uncover the features that significantly influence the formation of aquatic habitats. We further evaluate the effectiveness of multiple models. Our best model significantly outperforms earlier attempts that employ topographic variables for detection of small water sites, even the ones that utilize additional satellite imagery data and demonstrates robustness across different settings.
