Application of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa

A bibliometric analysis of Scopus-indexed literature reveals a significant disparity between global and African artificial intelligence research addressing climate-related health outcomes. While international efforts prioritize advanced predictive modeling for planetary health, African initiatives remain confined to localized, reactive triage for infectious diseases due to critical infrastructure and data constraints.

This disparity highlights an operational mismatch between climate vulnerability and technological capacity in public health management. Without foundational infrastructure, regional health systems cannot shift from reactive treatment to proactive, predictive risk mitigation. Addressing these constraints is essential to prevent systemic public health failures as climate pressures intensify.

African public health is disproportionately affected by climate change, yet artificial intelligence predictive modeling applications remain severely constrained.

Forward consideration, not a verified fact.