📋 Tender Overview
PROJECT ID
110731
TOTAL FUNDING
CAD 99,700.00
PROJECT STATUS
Active
DURATION
30 months
Summary
Dengue and other mosquito-borne diseases pose a heavy burden of disease across the Global South. Rapid urbanization, climate change and population growth have expanded mosquito habitats in many parts of Africa and Southeast Asia, fueling more frequent and severe outbreaks.
This project will develop a responsible mosquito detection model enabled by artificial intelligence (AI) to strengthen surveillance of dengue in Ghana and the Philippines. It plans to develop a responsible AI-driven mosquito detection model driven to classify mosquito wingbeat audio to help detect the presence of Aedes mosquitoes. By using a climate-sensitive dengue model, it will be possible to extend forecasting models, using local climate data (temperature, rainfall, humidity, vegetation) to predict dengue incidence several weeks ahead of an outbreak. The results will engage local scientists and health workers in the dynamics of dengue, AI and data use, and share results through open-source tools. The research will focus on gender-responsive analysis and community-based approaches that respond to vulnerable groups such as slum dwellers and Indigenous communities.
AI-enabled solutions will use responsible AI principles, building on existing solutions in Ghana and the Philippines. The project will engage community and policymaking stakeholders in solutions and enable earlier detection, potentially saving many lives.
The project is part of the Artificial Intelligence for Development program, a partnership between IDRC and the United Kingdom’s Foreign, Commonwealth and Development Office. It aims to support policy, innovations and expanded leadership to spur safe and responsible AI in Africa.
