GRAMENER HELPS THE WORLD MOSQUITO
PROGRAM SAVE MILLIONS OF LIVES BY
LEVERAGING GEOSPATIAL AI FOR
NEIGHBOURHOOD-LEVEL INTERVENTIONS

Challenge

Identifying ideal spots to release modified mosquitoes involved over 3 weeks of effort, many iterations and high costs

Approach

Gramener applies computer vision models on satellite images to determine population densities. The AI solution then works out a fine-grained release plan.

Outcome

Efficiency improved by cutting down manual efforts involved in release planning from 3 weeks to just 2 hours

5-MINUTE PROJECT WALKTHROUGH

Geospatial AI’s Role in Protecting 5 Million Lives

About 40% of the world’s population is at risk of deadly mosquito-borne diseases like dengue, zika, yellow fever, and chikungunya.The World Mosquito Program (WMP) modifies mosquitoes with natural bacteria to reduce their ability to carry deadly viruses. The offspring of these mosquitoes lose the disease-carrying ability as well.

WMP partnered with Gramener under a Microsoft AI for Good grant. Using Geospatial AI, Gramener’s model analyzes population density using satellite imagery. It recommends a neighbourhood-level intervention to accelerate social impact and save lives.

 

The Problem

 

 

Modification of mosquitoes is a tedious, expensive laboratory process. With a limited set of “good mosquitoes”, it is critical to find the best release points that will help them replicate rapidly.

 

Planning the optimum release points was a laborious process involving weeks of manual effort. It involved ground personnel going through several iterations, at high costs.

 

The Approach

 

Gramener applied computer vision models on high-resolution satellite images to determine population densities and vulnerability to mosquito-borne diseases at a sub-neighbourhood level. Based on the city, population and coverage expected, the AI solution works out a fine-grained release and monitoring plan. This enables the WMP team to swiftly act and maximise the impact of their solution.

The model is over 70% more accurate and saves over 99% of manual effort.

Gramener’s AI solution is built to scale and has shown the ability to be adapted to various locations around the world.

 

 

The Impact

 

The solution helped cut down the time taken to identify and monitor release points from 3 weeks to just 2 hours. It also enables an accurate forecast release plan, while rationalizing costs during the release planning process and cutting down the need for costly iterations by the field teams.

The World Mosquito Program has protected 5 million people across 12 countries from diseases like dengue and malaria. Equipped with our solution, it is on track with its goal of protecting 100 million people in the next 5 years, thereby accelerating the social impact for the community.

Read More

About World Mosquito Program
WMP is a not-for-profit initiative that aims to protect the global community from mosquito-borne diseases.
Industry: Non-profit Organization
Company Size:
Location: Global
Software: Geospatial AI
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