AI empowering malaria control operations
Zzapp reduced mosquitoes by 60% in under four months in a controlled trial.
Zzapp has partnered with AGAMal, a leading malaria control organization based in Ghana, to conduct a controlled trial examining the impact of larviciding guided by Zzapp in Obuasi, a city of over 200,000 people.
The operation was concluded in February 2020, and reduced the malaria-transmitting mosquito population by 60% when compared to a control.
The cost per person protected was less than 4% of the cost of typical house spraying interventions in the area. Read more...
Zzapp for 100% elimination of malaria in an island country, within 2 years.
Zzapp’s mission is to empower countries to end malaria, and our next goal is to show it is possible in the island country of São Tomé and Príncipe, located off the western coast of Central Africa.
In collaboration with the country’s ministry of health, we’ve embarked on an unprecedented project to fully eliminate malaria from the country within two years.
Malaria elimination strategies powered by AI
The Zzapp software system supports both the planning and implementation of malaria elimination operations.
By analyzing satellite images and topographical maps, Zzapp’s AI identifies malaria transmission hotspots and optimizes malaria elimination strategies for each location. Our map-based mobile app conveys the AI strategies to field workers as simple instructions, ensuring accurate implementation and quick feedback from the field.
The Burden of Malaria
Malaria, a disease caused by a mosquito-borne blood parasite, kills over 400,000 people per year. Children under 5 are especially vulnerable, and account for two thirds of all victims. While 90% of malaria cases occur in sub-Saharan Africa, over 40% of the world’s population is at risk of contracting the disease.
Children under 5
at highest risk
40% of the world's
population at risk
Finalists in the $5M IBM Watson AI XPRIZE
The IBM Watson AI XPRIZE challenges teams to demonstrate how humans can work with artificial intelligence to tackle global challenges.
By analyzing satellite data and topographical maps, Zzapp’s AI identifies malaria hotspots and tailors appropriate intervention strategies for each location. A weather analysis algorithm developed for Zzapp by the IBM Data Sciences and AI Elite Team helps optimize the timing of interventions.