Listen to mosquitoes and know if they are likely to transmit malaria

Use smartphones to record and track the spread of a deadly mosquito-borne disease.


Malaria is still a problem in large parts of the world today. Alerting individuals to the presence of disease-carrying mosquitoes could massively help in reducing the spread.
This relies upon detailed knowledge of the distribution, diversity and abundance of mosquitoes in space and time - but today's survey methods are time-consuming, expensive, spatially limited and can put those conducting them at risk of catching the disease they're studying.
Consequently, there is an urgent need to find new, automated and reliable survey methods.

The Humbug project required algorithms that could detect and identify different species of mosquitoes using the acoustic signature (sound) of their flight tones captured on a smartphone. Equally, this presented a challenge of scale; for the approach to be effective, the models had to be easily made accessible to many phones.


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Mind Foundry helps the HumBug project by providing state-of-the-art machine learning models for the classification of mosquito sounds, and by developing new algorithms.

The Mind Foundry Platform provides a tool to experiment with different detection techniques, as well as a scalable platform for deploying predictive models that can be called in a distributed fashion by thousands of mobile phone at the same time.

In house expertise in signal processing and wavelet decomposition led to a strong predictive set of features, which were combined with Mind Foundry’s model building and optimisation technology. This quickly delivered a solution that outperformed standard approaches and modelling techniques, delivering more accurate and comprehensive detection of mosquitoes in audio recordings, even outperforming human experts.


Expert Beating

Mosquito sounds recorded by a smartphone could be analyzed by an AI detection algorithm.

This crowdsourced method for tracking the spread of malaria is faster and more accurate than other methods currently used.

Performance is faster and more accurate at detecting the presence of mosquitoes.

Learn more at humbug.ox.ac.uk/


Data provides a scalable way to fight the spread of malaria.

Learn more at humbug.ox.ac.uk/