Application of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa
Authors: Peter Kokol, Martha Kachweka, Helena Blazun Vosner, Samuel Chol Buol, Jernej Zavrsnik, Bojan Zlahtic, Grega Zlahtic
Organizations: Community Healthcare Center Dr. Adolf Drolc Maribor, 2000 Maribor, Slovenia · Faculty of Electrical Engineering and Computer Sciences, University of Maribor, 2000 Maribor, Slovenia · CMU- Africa, Bldg Plot No A8, 3594+2RG Kigali Special Economic, Regional ICT Center of Excellence, Kigali, Ruanda · Alma Mater Europaea University, ECM Maribor, 2000 Maribor, Slovenia
While climate change disproportionately impacts African public health, AI predictive modeling remains heavily constrained. Using a Synthetic Knowledge Synthesis approach and VOSviewer, we conducted a bibliometric analysis of Scopus-indexed literature, comparing Global and African corpora. Network analysis reveals stark divergences: global research emphasizes complex, predictive models for planetary health, whereas African research focuses on localized, reactive solutions for immediate infectious disease triage. Severe structural barriers in Africa, including compute deficits, data silos, and energy instability, hinder advanced AI scaling. Ultimately, international funding must shift from siloed pilot projects toward building foundational digital infrastructure and localized AI frameworks.
Earth Sciences Department, Barcelona Supercomputing Center (BSC), Plaça d’Eusebi Güell, 1-3, Barcelona, 08034, Spain. · School of Public Health, Imperial College London, White City Campus, London, W12 7TA, United Kingdom. · Independent Researcher. +1