大数据和人工智能时代的传染病监测:机遇和陷
Courage O Idahor1, Ena-Jane O Esomu2, Ndidiamaka Ogbonna3
1Emergency Medicine, Nottingham University Hospitals NHS Trust, Nottingham, GBR.
Cureus
|November 7, 2025
概括
人工智能 (AI) 和大数据通过实现早期检测和实时监测,彻底改变了传染病监测 (IDS). 负责任的整合需要解决道德问题,并确保对有效的公共卫生战略进行人类监督.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 传统的传染病监测 (IDS) 由于报告延迟和数据碎片化而面临限制.
- 大数据和人工智能 (AI) 的出现为克服这些挑战提供了机会.
研究的目的:
- 审查人工智能和大数据在增强IDS方面的潜力.
- 探索早期疫情检测,实时监测和预测建模中的应用.
主要方法:
- 对IDS的AI支持工具和大数据系统的审查.
- 综合各种数据集 (临床,基因组,地理空间,环境).
- 从最近的疫情 (例如,COVID-19,流感,寨卡) 中分析现实世界的应用.
主要成果:
- 人工智能和大数据有助于全面了解疾病模式,提高诊断准确度.
- 这些技术在公共卫生紧急情况期间提高了资源分配.
- 挑战包括数据隐私,公平,算法偏见和基础设施限制,特别是在低资源环境中.
结论:
- 人工智能驱动的IDS提供了显著的前景,但需要一个平衡的方法与人类监督.
- 战略投资,跨部门合作和道德框架对于成功实施至关重要.
- 负责任的采用是最大限度地利用人工智能和大数据在公共卫生监测中的好处的关键.
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