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Researchers from Engineering Science, Zoology and Kew Gardens have developed a way of alerting people to the presence of mosquitoes with an app that detects their distinctive buzz.

Artist's impression of the mosquito-detecting app

The project team is now calling for volunteers to contribute to the next stage of the research through the Humbug Zooniverse project, officially launching on 4th April.

Mosquito-transmitted diseases are responsible for an estimated one million deaths each year, of which the vast majority are concentrated in sub-Saharan Africa. Although global malaria cases have declined since 2010, they are now on the increase again.

The HumBug app runs on a cheap mobile phone, analysing sounds in the environment and issuing a warning when mosquitoes are nearby. To develop the early warning system, the project team converted recordings of mosquito sounds into frequency features and trained an algorithm to learn the signature pattern created by mosquitoes in flight.

The project, led by Professor Stephen Roberts (Department of Engineering Science) and Professor Kathy Willis (Department of Zoology and Director of Science at Royal Botanic Gardens Kew), has already shown that the app could detect the presence of mosquitoes from about 10cm away, depending on background noise. The Humbug Project is funded by a Google Impact Challenge award and the ORCHID project.

The next phase of development is to improve the analysis so that it can differentiate between malaria-carrying species of mosquitoes from their more harmless relatives – only around 70 of the 3500 mosquito species are responsible for spreading malaria. The app should be able to learn the tell-tale audio signatures produced by different species based on variations in sound caused by wing size and shape.

During this next phase researchers need to process hundreds of hours of recordings in the wild and in labs. They are calling on members of the public to help with this task by analysing short audio clips for mosquito sounds. Those wanting to take part through Zooniverse can first train themselves by listening to examples of mosquito whines (go the the HumBug Zooniverse project homepage and click on 'Classify - training purpose only', then start classifying new, unclassified data by clicking on 'Classify' on the homepage).

“Hopefully this will save lives,” said Yunpeng Li, one of the research assistants working on the project. “If we can identify the species, we can tell people in areas where there is malaria that these mosquitoes are around and that they need to take care, to use bed nets and so on.”

The app has further development potential beyond warning people of nearby mosquitoes, say the team. Traditional mosquito surveys are expensive and time consuming and they put scientists in the field at risk of catching diseases. The new app could enable researchers to build up real-time maps of mosquito populations, and scientists in the field could identify mosquitoes more safely and easily.

The team

The principal investigators of the HumBug project are Professor Stephen Roberts (Oxford) and Professor Kathy Willis (Kew and Oxford) and research scientists include Dr. Marianne Sinka (Oxford), Dr. Davide Zilli (Oxford & Mind Foundry Ltd.), Dr. Samuel Pironon (Kew) and Dr. Yunpeng Li (Oxford). DPhil students working on HumBug include Ivan Kiskin (Oxford) and Oliver Bent (Oxford). Oxford intern Henry Chan is also working on the latest version of the mosquito app. For more information see

Story courtesy of the Department of Engineering Science

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