Using mobile phones as acoustic sensors for high-throughput mosquito surveillance
Using mobile phones as acoustic sensors for high-throughput mosquito surveillance
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DOI：
10.7554/elife.27854
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发表时间：
2017-10-31
期刊：
影响因子：
7.7
通讯作者：
Prakash, Manu
中科院分区：
文献类型：
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作者：
Mukundarajan, Haripriya;Hol, Felix Jan Hein;Prakash, Manu
在现场环境中直接监测蚊子种群是制定适当和及时的蚊媒疾病控制措施的关键投入。在这里，我们证明了商用移动电话是一种强大的工具，用于声学测绘蚊子在世界范围内的物种分布。我们表明，即使是具有非常基本功能的低成本移动电话也能够敏感地获取特定物种的蚊子拍击声的声学数据，同时记录人类与蚊子相遇的时间和地点。我们调查了广泛的医学上重要的蚊子物种，以定量地证明由时空元数据支持的声学记录如何能够快速，非侵入性地识别物种。作为概念验证，我们进行了实地演示，让受过最低限度培训的用户使用个人电话绘制当地蚊子的地图。因此，我们建立了一种新的蚊子监测模式，利用现有的全球移动网络基础设施，在资源有限的地区实现连续和大规模的数据采集。
The direct monitoring of mosquito populations in field settings is a crucial input for shaping appropriate and timely control measures for mosquito-borne diseases. Here, we demonstrate that commercially available mobile phones are a powerful tool for acoustically mapping mosquito species distributions worldwide. We show that even low-cost mobile phones with very basic functionality are capable of sensitively acquiring acoustic data on species-specific mosquito wingbeat sounds, while simultaneously recording the time and location of the human-mosquito encounter. We survey a wide range of medically important mosquito species, to quantitatively demonstrate how acoustic recordings supported by spatio-temporal metadata enable rapid, non-invasive species identification. As proof-of-concept, we carry out field demonstrations where minimally-trained users map local mosquitoes using their personal phones. Thus, we establish a new paradigm for mosquito surveillance that takes advantage of the existing global mobile network infrastructure, to enable continuous and large-scale data acquisition in resource-constrained areas.