Completed Computing & AI Climate, Earth & Environment

AI-driven approaches to climate-resilient malaria control

In plain English

AI plain-English summary

Malaria transmission is becoming harder to predict as weather patterns shift, and this project will build AI tools to help public health authorities stay ahead of outbreaks. Climate change is altering mosquito behaviour and malaria transmission in unpredictable ways, undermining existing control efforts such as vaccine rollouts and public health campaigns. While these initiatives have made progress, they cannot adapt quickly enough to increasingly variable weather. The project, called AI-CLIMAL, brings together researchers and stakeholders from the UK and sub-Saharan Africa to create AI systems that analyse climate data, mosquito population trends, and health records. Through workshops and virtual seminars, the network will also help experts understand how AI can sharpen existing prevention strategies and target interventions more precisely. If successful, the approach will improve the accuracy of outbreak predictions, allowing health authorities to take proactive, preemptive action in high-risk areas. This could reduce the burden of malaria on affected communities and build resilience against the health impacts of climate change. The long-term goal is to save lives by combining cutting-edge technology with traditional public health strategies.

View original technical description
Malaria remains one of the most significant public health challenges in Africa, accounting for 94% of cases and 95% of deaths globally in 2022 (WHO 2023). Climate change is expected to exacerbate this problem by altering mosquito behavior and malaria transmission patterns. Initiatives such as the rollout of malaria vaccines and public health campaigns like "Zero Palu" in countries like Benin have made notable progress in reducing malaria cases. However, despite these efforts, malaria transmission remains unpredictable due to the increasingly variable weather patterns caused by climate change. Our project, AI-CLIMAL, aims to harness the power of AI to develop innovative, climate-resilient solutions for malaria control. By establishing a collaborative network of researchers and stakeholders from the UK and sub-Saharan Africa, we will create AI tools that analyze climate, mosquito population, and health data. Through a series of workshops and virtual seminars, our project will facilitate knowledge exchange; helping experts understand how AI can enhance current malaria prevention efforts, including vaccine programs, and target interventions more effectively; and developing research and development projects for next steps. Ultimately, AI-CLIMAL seeks to combine cutting-edge technology with traditional public health strategies, offering a comprehensive approach to malaria control. This approach will improve the accuracy of malaria outbreak predictions, empowering public health authorities to take proactive, preemptive actions in high-risk areas. The long-term goal of the project is to save lives, reduce the burden of malaria on affected communities, and build resilience against the health impacts of climate change.

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Researchers

Sewanou Hermann Honfo (EPMC Awardee)

Related Research

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Original classification

Networking Grants

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