Papers for

global health ngos

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

AI use in Africa faces barriers for climate health solutions

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

Abstract: 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.

Mon 26 OctArtificial IntelligenceComputers and Society

The gist

Climate change hurts health in Africa a lot, but using AI to predict and manage these problems is still very limited. The authors looked at published research and found that global studies focus on big, complex AI models for overall planetary health. In contrast, African studies mostly work on small, local solutions for immediate health issues like infectious diseases. Africa's challenges like poor computing resources, fragmented data, and unreliable energy make it hard to develop advanced AI systems. The authors suggest that funding should move from small projects to building strong digital infrastructure and AI tools designed for local needs.

Open → 2610.35294v1