arXiv cs.AI· Peter Kokol, Martha Kachweka, Helena Blazun Vosner, Samuel Chol Buol, Jernej Zavrsnik, Bojan Zlahtic, Grega Zlahtic·· 3 小时前AI 评分23
人工智能在非洲气候变化相关健康管理中的应用研究
Application of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa
AI 导读
一项发表于 arXiv 的文献计量研究利用 VOSviewer 对 Scopus 收录文献进行综合知识分析，对比全球与非洲文献发现：全球研究侧重行星健康的复杂预测模型，非洲研究则聚焦本地化、响应式的传染病分诊方案。研究指出算力不足、数据孤岛和能源不稳是非洲规模化应用先进 AI 的结构性障碍，并呼吁国际资助从孤立试点项目转向基础数字基础设施与本地化 AI 框架建设。
正文 · 原文
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.AI · arxiv.org