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Smart Intelligent GEOAI Solution

To Predict and Tackle
Mosquito-Borne Diseases in Hong Kong

About The Project

About
the project

The project aimed at developing a real-time smart and predictive solution for mosquito surveillance in Hong Kong. The system will deploy cutting-edge smart technologies such as IoTs, GIS, GeoAI and Deep Learning algorithms to monitor, address and anticipate the occurrence of mosquito-borne diseases based on geographical location in Hong Kong.

The ultimately goal is to improve the effectiveness of monitoring mosquito-borne diseases, contributing to better disease management with community engagement.

Mosquito
01 Infrastructure
Smart mosquito killer Lamp and weather IoT devices for monitoring mosquito populations and the surrounding environment.
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02 Applications
A near "real-time" map-based webApp/dashboard for mosquito hotspot identification and MRI display.
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03 Analysis & Modeling
Compute MRI and predict endemicity trends by integrating IoT, the GeoAI model, and environmental data.
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04 Collaboration
Report mosquito problems or partner with us to combat mosquito-borne diseases.
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Supporting Organization