Each mosquito species has a different wingbeat frequency by which they attract mates. With just a brief recording (<1/10th of a second) these acoustic signatures can be analyzed to quickly determine if mosquitoes belong to a species that is known to transmit different pathogens. A recent study has shown that mobile phones are capable of capturing acoustic data from mosquito wingbeats. We examined wingbeat signatures and flight duration patterns of D. immitis infected and non-infected Aedes aegypti to determine if mobile phone recordings of wingbeat frequencies can be used to distinguish infected mosquitoes from non-infected ones. Female mosquitoes were recorded prior to and at various time points after feeding on infected or non-infected dog blood by placing individual mosquitoes into a collection vial and recording for 60 s using the Voice Memo app for iPhone 7 plus and 8. To uniformly analyze audio data, recordings were processed using a previously described automated algorithm in Python 3.0 to determine wingbeat frequency. A total of 1669 recordings were gathered, and mosquitoes were dissected to confirm the presence and number of D. immitis larvae. Our findings indicate that there was a significant effect on wingbeat frequency with an increasing number of L3 larvae. Specifically, as the number of L3, infective stage larvae increases, a decrease in wingbeat frequency is seen. However, there was no significant effect of increasing number of L1 or L2 larvae causing increasing wingbeat frequencies. The detection of a significant difference in wingbeat frequencies between mosquitoes harboring infective stage D. immitis larvae is unique and suggests the possibility of using wingbeat recordings as a tool for vector species and pathogen surveillance and monitoring.

每个蚊子都有不同的翅膀频率来吸引伴侣。仅需简短记录（不到1/10秒），就可以分析这些声学特征，从而快速确定蚊子是否属于已知传播不同病原体的物种。最近的一项研究表明，移动电话能够捕获蚊子拍打声中的声音数据。我们检查了翅膀拍打签名和飞行时间模式D.丝虫感染和非感染的埃及伊蚊确定是否可以使用手机的拍打频率记录来区分受感染的蚊子和未感染的蚊子。通过将单个蚊子放入收集小瓶中并使用iPhone 7 plus和8的Voice Memo应用程序记录60 s，在喂食感染或未感染的狗血之前和之后的各个时间点记录雌性蚊子。数据，使用先前在Python 3.0中描述的自动算法处理记录，以确定机翼频率。总共收集了1669个录音，并解剖了蚊子，以确认D.乳炎的存在和数量。幼虫。我们的发现表明，随着L3幼虫数量的增加，对翼拍频率有重大影响。具体地，随着L3的数目，感染阶段幼虫增加，观察到翅拍频率降低。但是，增加L1或L2幼虫的数量不会引起翼拍频率的增加，没有明显的影响。在带有传染性D.线虫感染幼虫的蚊子之间，在拍打频率上有显着差异的检测是独特的，这表明可以使用拍打记录作为媒介物种和病原体监视和监测的工具。