A GeoAI solution for mosquito control and disease management.
Overview
This solution develops an innovative solution that could near-real time monitor and predict mosquito risk index (MRI) in the next three days to strengthen mosquito surveillance and prevention. Through real-time interactive maps, more useful mosquito risk index information is provided to alert citizens and associations to black spots with serious mosquito infestation and improve the effectiveness of mosquito-borne disease surveillance.
Technical name of innovation
A GeoAI solution for mosquito control and disease management.
Research completion
2024
Problem addressed
Dengue fever or mosquito-borne disease is an acute infectious disease caused by a virus transmitted by mosquitoes and can cause death.
Innovation
- The IoT devices developed in this project will be installed at strategic locations: smart mosquito killer lamps and weather monitoring stations to collect geospatial information on meteorological conditions and mosquito populations.
Key impact
- Monitor mosquito abundance level
- Offer mosquito risk index (MRI) and interactive maps to alert citizens and associations to black spots with serious mosquito infestation and improve the effectiveness of mosquito-borne disease surveillance.
- Improve the effectiveness of mosquito-borne disease surveillance and predictive solutions.
Award
- LU Research & Knowledge Transfer Fund Award 2022 (Government-Industry-Academia Collaboration)
Application
- Environmental Health
- GeoAI
- AIoT
- Geospatial analytics
