Data from: Using mobile phones as acoustic sensors for high-throughput mosquito surveillance

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.野外环境下的蚊种群直接监测，是制定蚊媒传染病（mosquito-borne diseases）精准且及时防控措施的关键依据。本研究证实，市售移动电话可作为强有力的工具，用于全球范围内蚊类物种分布的声学测绘。研究表明，即便功能极为基础的低成本移动电话，也能够灵敏采集特定蚊类的振翅声学数据，并同步记录人与蚊虫相遇的时间与地理位置。我们针对多种具有医学重要性的蚊类开展调研，定量展示了结合时空元数据（spatio-temporal metadata）的声学录音如何实现快速、非侵入式的物种识别。作为概念验证（proof-of-concept），我们开展了野外演示：仅需经过最低限度培训的用户，即可使用个人移动设备绘制本地蚊类的分布图谱。据此，我们建立了一种全新的蚊虫监测范式——依托现有全球移动网络基础设施，可在资源匮乏地区实现持续、大规模的数据采集。