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开发垃圾分类系统,利用无人机成像绘制埃及伊蚊潜在孳生地地图。

Development of a trash classification system to map potential Aedes aegypti breeding grounds using unmanned aerial vehicle imaging.

机构信息

School of Medicine, Division of Infectious Diseases, Stanford University, Stanford, CA, USA.

Stanford University, Stanford, CA, USA.

出版信息

Environ Sci Pollut Res Int. 2024 Jun;31(28):41107-41117. doi: 10.1007/s11356-024-33801-0. Epub 2024 Jun 6.

Abstract

Aedes aegypti mosquitos are the primary vector for dengue, chikungunya, and Zika viruses and tend to breed in small containers of water, with a propensity to breed in small piles of trash and abandoned tires. This study piloted the use of aerial imaging to map and classify potential Ae. aegypti breeding sites with a specific focus on trash, including discarded tires. Aerial images of coastal and inland sites in Kenya were obtained using an unmanned aerial vehicle. Aerial images were reviewed for identification of trash and suspected trash mimics, followed by extensive community walk-throughs to identify trash types and mimics by description and ground photography. An expert panel reviewed aerial images and ground photos to develop a classification scheme and evaluate the advantages and disadvantages of aerial imaging versus walk-through trash mapping. A trash classification scheme was created based on trash density, surface area, potential for frequent disturbance, and overall likelihood of being a productive Ae. aegypti breeding site. Aerial imaging offers a novel strategy to characterize, map, and quantify trash at risk of promoting Ae. aegypti proliferation, generating opportunities for further research on trash associations with disease and trash interventions.

摘要

埃及伊蚊是登革热、基孔肯雅热和寨卡病毒的主要传播媒介,它们倾向于在小容器中的水中繁殖,容易在小堆垃圾和废弃轮胎中繁殖。本研究试点使用航空成像来绘制和分类潜在的埃及伊蚊滋生地,并特别关注垃圾,包括废弃轮胎。使用无人机获取肯尼亚沿海和内陆地区的航空图像。对航空图像进行了审查,以识别垃圾和疑似垃圾的模拟物,然后进行广泛的社区步行调查,通过描述和地面摄影来识别垃圾类型和模拟物。一个专家小组审查了航空图像和地面照片,以制定分类方案,并评估航空成像与步行垃圾测绘相比的优缺点。根据垃圾密度、表面积、频繁干扰的可能性以及作为埃及伊蚊滋生地的总体可能性,创建了一个垃圾分类方案。航空成像提供了一种新颖的策略来描述、绘制和量化有促进埃及伊蚊繁殖风险的垃圾,为进一步研究垃圾与疾病的关联和垃圾干预提供了机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e41e/11189966/cfb733af4c75/11356_2024_33801_Fig1_HTML.jpg

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