arXiv cs.CY· Peter Kokol, Martha Kachweka, Helena Blazun Vosner, Samuel Chol Buol, Jernej Zavrsnik, Bojan Zlahtic, Grega Zlahtic·· 12 小时前AI 评分22
非洲气候变化健康问题中的 AI 应用：全球与非洲研究格局的文献计量对比
Application of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa
AI 导读
一项基于 Synthetic Knowledge Synthesis 与 VOSviewer 的文献计量分析对比了 Scopus 收录的全球与非洲文献，发现全球研究侧重面向行星健康的复杂预测模型，非洲研究则聚焦本地化、被动应对的传染病分诊方案。
正文
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.
| Subjects: | Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.35294 [cs.AI] |
| (or arXiv:2610.35294v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.35294 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Peter Kokol PhD [view email]
[v1]
Mon, 26 Oct 2026 12:02:32 UTC (518 KB)
来源：arXiv cs.CY · arxiv.org