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Malaria, one of the world’s deadliest diseases, continues to pose a significant threat to millions of people, particularly in sub-Saharan Africa. Despite decades of efforts to control and eliminate the disease, it remains a leading cause of illness and death in many regions. However, a new wave of innovation is offering hope in the fight against malaria—artificial intelligence (AI). By harnessing the power of AI, researchers and public health officials are developing more effective and targeted strategies to combat malaria, potentially transforming the landscape of global health.

A groundbreaking partnership has been formed to establish a Research Center of Excellence in Zambia, focusing on leveraging artificial intelligence (AI) to prevent malaria outbreaks. This collaboration between the University of Zambia (UNZA) School of Engineering and South Korea’s Convergence Research Centre for Insect Vectors (CRCIV) marks a significant step forward in the fight against malaria.

The newly established center will deploy AI technology to identify mosquito species, enhancing the effectiveness of malaria prevention strategies. By accurately classifying different mosquito species, the AI-powered system will improve the precision of malaria control measures, potentially saving thousands of lives.

One of the most promising applications of AI in malaria control is in mosquito identification and behavior analysis. AI-powered systems can analyze images of mosquitoes and accurately classify them by species, which is essential for targeting the specific mosquitoes responsible for transmitting malaria. This technology allows for more focused control measures, reducing the likelihood of the disease spreading.

During the signing ceremony, SMART Zambia National Coordinator Percy Chinyama lauded the partnership as a prime example of how collaboration can drive innovation to solve real-world problems. He emphasized the potential for AI to be integrated into educational curriculums, reflecting its growing importance in modern society. 

“We hope that this initiative will lead to greater engagement and that even the university curriculum will become more AI-centered, as this is where the world is headed. I believe this is an important step because we are now taking on the responsibility to champion AI in our country.”

Professor Bornface Namangala, UNZA’s Acting Vice Chancellor, described the MoU as the beginning of a transformative effort to tackle malaria, a disease that remains a leading cause of death in Zambia, particularly among pregnant women and children. He stressed the urgency of addressing this public health challenge through innovative research and technology.

Professor Hyung Wook Kwon, CEO of CRCIV, expressed his enthusiasm for contributing to malaria and dengue fever eradication efforts through advanced technology, drawing from his extensive research expertise. Zambia’s Ambassador to South Korea, Mr. Andrew Banda, highlighted the MoU as a bold commitment to global scientific research and life-saving initiatives. “This partnership is a testament to our shared commitment to saving lives on a global scale,” Banda remarked.

Joe Kamoko, Permanent Secretary of Education, emphasized the potential of the center not only to improve public health but also to influence broader health and educational outcomes. He noted the importance of leveraging the digital space to address societal challenges and expressed optimism about the transformative impact of this collaboration.

The U.S. President’s Malaria Initiative (PMI), which supports sub-Saharan African nations in their efforts to control and eliminate malaria, identifies Zambia as a high-risk area where the entire population is vulnerable. In 2022, the National Malaria Elimination Centre (NMEC) recorded over 8.4 million malaria cases in Zambia, translating to an incidence rate of 428 cases per 1,000 people annually. Additionally, there were 1,337 deaths attributed to malaria, equating to 8 deaths per 100,000 people.

This initiative is closely aligned with Zambia’s National Malaria Monitoring and Evaluation (M&E) Plan for 2022-2026. The plan provides a comprehensive framework for tracking key malaria indicators, including data collection, analysis, reporting, and feedback, all aimed at supporting informed decision-making. By enhancing data-driven decision-making processes, this initiative contributes directly to achieving the plan’s goal of improving health outcomes across the country.

The integration of AI with other technologies, such as drones for mosquito control or mobile health applications for disease monitoring, could further enhance the effectiveness of malaria interventions. Moreover, AI has the potential to contribute to broader public health initiatives, addressing other vector-borne diseases and improving health outcomes in malaria-endemic regions.