The Ministry of Health, through the Health Alerts and Emergencies Coordination Centre, is promoting the Mosquito Alert project as a tool to improve the control and surveillance of mosquitoes that can transmit diseases. This platform allows anyone to provide information on the presence and activity of mosquitoes through an app. Citizen science is included for
Traditional surveillance approaches in collaboration with citizen science improves the known distribution of invasive Aedes japonicus in Spain biomedcentral.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from biomedcentral.com Daily Mail and Mail on Sunday newspapers.
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Researchers from Mosquito Alert (who belong to CEAB-CSIC, CREAF and UPF) together with researchers from the University of Budapest have shown that an artificial intelligence algorithm is capable of recognizing the tiger mosquito (Aedes albopictus) in the photos sent by Mosquito Alert users.
The results of the study published in
Scientific Reports have been obtained by applying deep learning technology or deep learning, an aspect of artificial intelligence that seeks to emulate the way of learning of humans and that has previously been used in the health field to interpret medical images (X-rays of patients with COVID19 to detect pneumonia, or facial features to detect heart disease, among others). Deep learning needs a lot of training data for the machine to learn.