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绘制传染病态势图:无人机与流行病学

Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology.

作者信息

Fornace Kimberly M, Drakeley Chris J, William Timothy, Espino Fe, Cox Jonathan

机构信息

Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

出版信息

Trends Parasitol. 2014 Nov;30(11):514-9. doi: 10.1016/j.pt.2014.09.001. Epub 2014 Oct 22.

Abstract

The potential applications of unmanned aerial vehicles (UAVs), or drones, have generated intense interest across many fields. UAVs offer the potential to collect detailed spatial information in real time at relatively low cost and are being used increasingly in conservation and ecological research. Within infectious disease epidemiology and public health research, UAVs can provide spatially and temporally accurate data critical to understanding the linkages between disease transmission and environmental factors. Using UAVs avoids many of the limitations associated with satellite data (e.g., long repeat times, cloud contamination, low spatial resolution). However, the practicalities of using UAVs for field research limit their use to specific applications and settings. UAVs fill a niche but do not replace existing remote-sensing methods.

摘要

无人驾驶飞机(UAV),即无人机,其潜在应用已在许多领域引发了浓厚兴趣。无人机有潜力以相对较低的成本实时收集详细的空间信息,并且在保护和生态研究中越来越多地得到应用。在传染病流行病学和公共卫生研究中,无人机可以提供对于理解疾病传播与环境因素之间联系至关重要的时空精确数据。使用无人机可避免许多与卫星数据相关的限制(例如,重复周期长、云层干扰、空间分辨率低)。然而,将无人机用于实地研究的实际情况限制了它们仅适用于特定的应用和场景。无人机填补了一个空白,但并不会取代现有的遥感方法。

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