Lingnan University Launches AI-Powered Mosquito Forecasting System

Lingnan University in Hong Kong has developed and deployed a new GeoAI mosquito forecasting system, which combines artificial intelligence and geographic information systems. This initiative marks the first of its kind in Hong Kong and aims to bolster mosquito control efforts in communities and prevent the spread of mosquito-borne diseases such as chikungunya.

The new system is currently undergoing a pilot phase in three housing estates on Hong Kong Island: Kwun Tong's Kwun Lung Lau, North Point's Health Village, and Tai Hang's Lei Tei. A total of eight "mosquito monitoring points" have been installed across these locations. The system provides property management personnel with real-time data on mosquito activity and forecasts for the next three days, enabling more targeted and efficient control measures.

Developed by Lingnan University's Department of Science research team, led by Professor Wang Pei-shin, the system utilizes AI-powered Internet of Things (AIoT) devices, including smart mosquito traps and weather stations. The smart traps capture and identify mosquito species, while the weather stations collect real-time environmental data like temperature and humidity. This data is processed to generate a "Mosquito Risk Index" (MRI) and risk maps.

"Through the GeoAI mosquito forecasting system, our research findings are truly being put into practice, allowing frontline property management staff to 'see the map and act accordingly'," stated Professor Wang. "They can deploy resources proactively in higher-risk areas, reflecting the significant value of knowledge and technology transfer in public health." The university is committed to bridging academic research with community needs, translating scholarly work into practical applications.