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WHAT WE FUND

Malaria

Epidemiology

At a glance

AI-driven assessment of malaria interventions: Shaping policies for a malaria-free world

Lead researcher

Professor Oyetunde Oyeyemi

Institution

University of Medical Sciences, Ondo

Status

Live

Amount awarded

£11,203.00

Last updated

09/02/26

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01 Prof Oyetunde Oyeyemi Photo Professor Oyetunde Oyeyemi

In 2023, an estimated 597,000 malaria deaths occurred worldwide. From the University of Medical Sciences, Ondo, Nigeria, Prof Oyetunde Oyeyemi has previously studied the ways in which environmental factors affect malaria, and the impact of insecticide-treated bed nets in reducing its spread.

Now, he is partnering with Dr Joaquin Prada from the University of Surrey to study how well malaria prevention methods work using artificial intelligence (AI).

The team will use AI and mathematical models to assess how effective various malaria control methods are, including insecticide-treated bed nets, indoor spraying, and preventive treatments. Prof Oyeyemi's goal is to improve these strategies and provide science-based recommendations for better malaria control.

Applying AI to malaria prevention in this way will help to use resources efficiently, and focus efforts where they are most needed. The project will strengthen research collaborations, improve disease tracking, and support global efforts to eliminate malaria. The findings will help policymakers to make informed decisions and improve public health in Sub-Saharan Africa.