arXiv cs.MA· Xueyi Zhang, Hongru Du, Ensheng Dong·· 12 小时前AI 评分44
面向公共卫生数据采集的智能体 AI 方法：多智能体框架实现跨源疾病监测
Toward an Agentic AI Approach to Public Health Data Collection
AI 导读
研究者构建了一个多智能体框架，整合来源发现、来源评估、证据结构化、事件关联与验证，用于跨异构来源协调疾病监测数据采集。在汉坦病毒疫情回溯应用中，该工作流找回了全部 13 例病例，关联 85 个不同发布者域名（参考基准为 28 个）；加拿大麻疹计数最终总量比国家参考值低 0.33%，并在 79.8% 的可比日期上累计计数更高。
正文 · 原文
Abstract:Disease surveillance increasingly integrates automated data collection, yet predefined sources and procedures require manual adaptation as reporting practices change. We explore agentic artificial intelligence (AI) as an approach to coordinating surveillance data collection across heterogeneous sources. Specifically, we built a multi-agent framework that integrates source discovery, source assessment, evidence structuring, event linking, and validation. Three retrospective applications illustrate its promise. The workflow recovered all 13 individual cases in a hantavirus outbreak, with links to 85 distinct publisher domains compared with 28 in the reference benchmark, reconstructed Canadian measles counts with a final total 0.33% below the national reference and higher cumulative counts on 79.8% of comparable days, and increased the share of days with recent Sierra Leone mpox reports from 28.2% to 65.6% by incorporating attributed media. These demonstrations also reveal limitations in record completeness and accuracy, while prospective gains in timeliness remain untested. We envision agentic AI as a complementary layer of public health data infrastructure, coordinating evidence-linked collection under surveillance goals and standards defined by public health professionals.
| Comments: | 46 pages, 2 figures; Supplementary Information included |
| Subjects: | Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2610.31746 [cs.MA] |
| (or arXiv:2610.31746v1 [cs.MA] for this version) | |
| https://doi.org/10.48550/arXiv.2610.31746 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Xueyi Zhang [view email]
[v1]
Thu, 22 Oct 2026 17:55:56 UTC (9,762 KB)
来源：arXiv cs.MA · arxiv.org