Leveraging Artificial Intelligence for Personalized Malaria Intervention Strategies in Africa: An Exploratory Review

Malaria continues to pose a major public health challenge in Africa, disproportionately affecting vulnerable populations and straining healthcare systems. This exploratory review investigates the potential of artificial intelligence (AI) to enhance malaria intervention strategies through personalized and data-driven approaches. Drawing on recent literature, case studies, and technological advancements, the study highlights AI’s capacity for early detection, accurate diagnosis, risk prediction, optimized treatment, and real-time surveillance. The review identifies key implementation barriers, including data quality, infrastructural limitations, ethical concerns, and contextual adaptation challenges. Methodologically, a systematic literature search was conducted across major academic databases and institutional reports, with 60 studies ultimately synthesized through thematic content analysis. The search strategy included keyword combinations such as "AI in malaria control", "artificial intelligence and healthcare in Africa", "machine learning in malaria diagnosis", and "personalized interventions for malaria". Electronic databases searched included Google Scholar, PubMed, and ScienceDirect. In addition, relevant reports from the World Health Organization (WHO) and other reputable health institutions were reviewed. The findings suggest that AI can significantly complement existing malaria control programs by enabling precision-targeted interventions and improving healthcare delivery efficiency. However, for AI-driven systems to succeed, efforts must focus on strengthening data infrastructure, building local capacity, addressing socio-cultural factors, and ensuring ethical deployment. The study concludes that AI presents a transformative opportunity for malaria control in Africa if adopted responsibly and inclusively. Keywords: Artificial Intelligence, Malaria Control, precision-targeted interventions, Africa, Public Health Innovation Ogbaga, I.N & Igboji, K.O (2025): Leveraging Artificial Intelligence for Personalized Malaria Intervention Strategies in Africa: An Exploratory Review. Journal of Advances in Mathematical & Computational Science. Vol. 13, No. 2. Pp 1-14 Available online at www.isteams.net/mathematics-computationaljournal. dx.doi.org/10.22624/AIMS/MATHS/V13N2P1