IF 3 2区 医学 Q1 PARASITOLOGY
Morgan S Tarpenning, Juliet T Bramante, Kavita D Coombe, Katherine E Woo, Andrew J Chamberlin, Paul S Mutuku, Giulio A De Leo, Angelle Desiree LaBeaud, Bryson A Ndenga, Francis M Mutuku, Joelle I Rosser
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引用次数: 0

摘要

背景:暴露在大自然中的垃圾堆和废弃轮胎会积水,并为埃及伊蚊--多种虫媒病毒的主要传播媒介--创造富饶的滋生地。无人驾驶飞行器(UAV)成像技术为高效、准确地绘制垃圾图提供了一种新方法,有助于更好地预测埃及伊蚊的栖息地和随之而来的虫媒病毒传播。本研究评估了通过无人机成像分析识别垃圾的效果,与步行穿过社区对垃圾堆进行计数和分类的标准做法进行了比较:方法:我们分别在肯尼亚西部和沿海的基苏木市和乌昆达镇进行了无人机飞行和四种类型的徒步垃圾调查。垃圾分类依据的是之前开发的用于识别高风险和低风险埃及伊蚊繁殖地的方案。然后,我们比较了无人机图像与徒步调查之间的垃圾探测结果:结果:在所有徒步调查方法中,无人机图像分析捕捉到的垃圾数量是徒步调查方法的 1.8 倍到 4.4 倍。无人机识别垃圾的地面实况验证表明,94% 的标注垃圾点在位置和垃圾分类方面都得到了正确识别。此外,在无人机图像分析过程中,98% 的在穿行过程中记录的可见垃圾模仿物都被正确避开。我们发现了使用无人机成像识别垃圾堆的优势和局限性。虽然无人机成像可能会遗漏植被或建筑物下的垃圾,也不能显示垃圾堆的确切构成,但这种方法效率高,能获得详细的定量垃圾数据,并能进入步行不易到达的区域:无人飞行器为垃圾绘图和分类提供了一种很有前景的方法,它可以改进对垃圾作为传染病风险因素或旨在减少社区垃圾暴露的研究的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of unmanned aerial vehicle imaging to ground truth walkthroughs for identifying and classifying trash sites serving as potential Aedes aegypti breeding grounds.

Background: Trash piles and abandoned tires that are exposed to the elements collect water and create productive breeding grounds for Aedes aegypti mosquitoes, the primary vector for multiple arboviruses. Unmanned aerial vehicle (UAV) imaging provides a novel approach to efficiently and accurately mapping trash, which could facilitate improved prediction of Ae. aegypti habitat and consequent arbovirus transmission. This study evaluates the efficacy of trash identification by UAV imaging analysis compared with the standard practice of walking through a community to count and classify trash piles.

Methods: We conducted UAV flights and four types of walkthrough trash surveys in the city of Kisumu and town of Ukunda in western and coastal Kenya, respectively. Trash was classified on the basis of a scheme previously developed to identify high and low risk Aedes aegypti breeding sites. We then compared trash detection between the UAV images and walkthrough surveys.

Results: Across all walkthrough methods, UAV image analysis captured 1.8-fold to 4.4-fold more trash than the walkthrough method alone. Ground truth validation of UAV-identified trash showed that 94% of the labeled trash sites were correctly identified with regards to both location and trash classification. In addition, 98% of the visible trash mimics documented during walkthroughs were correctly avoided during UAV image analysis. We identified advantages and limitations to using UAV imaging to identify trash piles. While UAV imaging did miss trash underneath vegetation or buildings and did not show the exact composition of trash piles, this method was efficient, enabled detailed quantitative trash data, and granted access to areas that were not easily accessible by walking.

Conclusions: UAVs provide a promising method of trash mapping and classification, which can improve research evaluating trash as a risk factor for infectious diseases or aiming to decrease community trash exposure.

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来源期刊
Parasites & Vectors
Parasites & Vectors 医学-寄生虫学
CiteScore
6.30
自引率
9.40%
发文量
433
审稿时长
1.4 months
期刊介绍: Parasites & Vectors is an open access, peer-reviewed online journal dealing with the biology of parasites, parasitic diseases, intermediate hosts, vectors and vector-borne pathogens. Manuscripts published in this journal will be available to all worldwide, with no barriers to access, immediately following acceptance. However, authors retain the copyright of their material and may use it, or distribute it, as they wish. Manuscripts on all aspects of the basic and applied biology of parasites, intermediate hosts, vectors and vector-borne pathogens will be considered. In addition to the traditional and well-established areas of science in these fields, we also aim to provide a vehicle for publication of the rapidly developing resources and technology in parasite, intermediate host and vector genomics and their impacts on biological research. We are able to publish large datasets and extensive results, frequently associated with genomic and post-genomic technologies, which are not readily accommodated in traditional journals. Manuscripts addressing broader issues, for example economics, social sciences and global climate change in relation to parasites, vectors and disease control, are also welcomed.
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