The Mosquito Alert tool, which is used in the E4Warning project and was developed by several consortium partners, has received international recognition at the WSA 2023. This award is given to digital solutions that contribute significantly to creating healthier, more sustainable, and inclusive urban environments.
The WSA awards, which were established within the framework of the United Nations World Summit of the Information Society (WSIS), aim to identify and promote digital innovations that positively impact society and advance the United Nations Sustainable Development Goals.
Out of 466 submissions from 88 countries, Mosquito Alert has been selected as one of the top 40 digital initiatives across eight different categories. This achievement highlights the effectiveness and relevance of the platform in addressing critical issues related to public health and environmental sustainability.
As part of this honor, the Mosquito Alert team will be joining other winners at the WSA World Congress 2024, which is scheduled from April 14 to 17 in the Chilean Patagonia. This event offers invaluable opportunities for networking, mentorship, and collaboration, further amplifying the impact of each project’s technological solutions on a global scale.
Mosquito Surveillance through Citizen Engagement
Mosquito Alert is an initiative that engages the public in monitoring vector mosquitoes and studying the spread of invasive mosquito species. It is a “citizen observatory” coordinated by Spanish research institutions, including CSIC, UPF, and CREAF. This groundbreaking program aims to transform the traditional methods of mosquito surveillance by promoting citizen participation and the adoption of new technologies.
Mosquito Alert is supported by an extensive network of entomology and public health experts. It demonstrates the power of collaboration in addressing global health challenges. By empowering communities and leveraging cutting-edge technologies, the platform not only revolutionizes disease surveillance but also drives innovation in the management and prevention of mosquito-borne illnesses.
The Mosquito Alert platform plays a pivotal role in Work Package 2 (WP2) of the E4Warning project. WP2’s primary objective is to enhance the accuracy of AI-based mosquito image classification, thereby enabling the development of a real-time early warning system that can identify invasive species across multiple study sites of the E4Warning project. The proposed real-time early warning system will enable effective identification and monitoring of invasive mosquito species across different geographies, thereby bolstering the E4Warning project’s broader research efforts in this domain.