公共卫生监测的创新:对数据和分析方法的新型使用进行概述
Heather Rilkoff1, Shannon Struck2, Chelsea Ziegler3
1Data, Surveillance and Foresight Branch, Public Health Agency of Canada, Toronto, ON.
概括
创新的公共卫生监测 (PHS) 使用社交媒体和人工智能等新数据来早期发现疫情. 在科学成熟度和公平性方面仍然存在挑战,需要更好的数据治理和劳动力培训.
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:
- 在过去的十年中,公共卫生监测 (PHS) 在数据来源和方法方面经历了快速的创新.
- 越来越需要评估这些进展的科学成熟度,可行性和现实世界的实用性.
研究的目的:
- 提供PHS近期创新的概述.
- 检查新型数据源和分析方法的潜力,以加强PHS.
- 确定实施创新的PHS方法的挑战和下一步.
主要方法:
- 审查创新的PHS数据源,包括社交媒体,互联网搜索引擎,物联网 (IoT),废水监测,参与式监测,人工智能 (AI) 和nowcasting.
- 分析这些新方法在现实世界公共卫生环境中的潜在实用性和挑战.
主要成果:
- 新的数据来源和方法显示出增强疾病估计的潜力,使得疫情的早期预警,并为公共卫生行动提供更及时的信息.
- 废水监测是早期检测病原体 (例如COVID-19) 的实用工具.
- 人工智能 (AI) 越来越多地用于处理大型数字数据集.
结论:
- 实施创新的PHS方法面临诸如科学成熟度,有限的现实世界的例子,隐私问题和健康公平影响等挑战.
- 推进创新的PHS需要改进数据治理,明确的人工智能政策和公共卫生工作人员发展.
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