用人工智能驱动的战略来加强Mpox在非洲的监视和响应
David B Olawade1, Chiamaka Norah Ezeagu2, Chibuike S Alisi3
1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Department of Public Health, York St John University, London, United Kingdom.
Journal of virological methods
|September 26, 2025
概括
人工智能 (AI) 可以通过加强监测,诊断和资源分配来改善非洲的Mpox控制. 解决基础设施和道德挑战对于将AI整合到公共卫生中至关重要.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 人工智能的人工智能
背景情况:
- 麻疹在非洲是一个重大的公共卫生问题,由有限的资源和分散的卫生系统加剧.
- 目前的策略在监测,诊断和资源分配方面扎,阻碍了在偏远地区有效应对疫情.
研究的目的:
- 探索人工智能 (AI) 的潜力,以提高非洲背景下的Mpox管理和控制.
- 为Mopox控制合成AI应用程序,为资源有限的设置提供框架.
主要方法:
- 这篇叙述性综述综合了有关人工智能应用在传染病控制方面的现有文献.
- 专注于机器学习和预测分析,用于早期检测,监控和资源配置.
主要成果:
- 人工智能可以改善Mpox的早期检测,监视,联系人追踪,病例管理和公共卫生沟通.
- 人工智能工具可以分析疫情模式的数据,自动追踪,优化治疗,并定制健康信息.
结论:
- 成功实施人工智能需要解决诸如有限的基础设施,数据质量,道德问题和能力建设等挑战.
- 对基础设施,培训和道德框架的投资对于整合人工智能以缓解Mpox和加强卫生系统至关重要.
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