基因组学和大数据时代的精确公共卫生
Megan C Roberts1, Kathryn E Holt2,3, Guilherme Del Fiol4
1Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC, USA. Megan.roberts@unc.edu.
Nature medicine
|July 11, 2024
概括
精确公共卫生 (PPH) 整合了基因,生活方式和环境,以进行有针对性的健康干预. 这种方法通过在正确的时间向正确的人群提供正确的护理来增强疾病的预防和治疗.
科学领域:
- 公共卫生和流行病学
- 基因组学和生物信息学
- 医疗信息学 医疗信息学
背景情况:
- 传统的公共卫生模型正在随着数据科学和个性化医学的进步而发展.
- 了解遗传学,环境和生活方式的复杂相互作用对于有效的人口健康策略至关重要.
研究的目的:
- 探索精确公共卫生 (PPH) 作为下一代公共卫生干预措施.
- 检查PPH的历史背景和最近的进展.
- 突出PPH的现实应用和挑战.
主要方法:
- 审查历史公共卫生数据的使用情况.
- 分析人类和病原体基因组学的进展.
- 整合社会,行为,环境研究和人工智能 (AI).
主要成果:
- PPH利用各种数据来源进行量身定制的健康干预.
- 基因组学,人工智能和社会环境数据正在改变公共卫生实践.
- 现实世界的例子表明,PPH正在成为一种标准的方法.
结论:
- 精确公共卫生提供了疾病预防,诊断和治疗的范式转变.
- 克服数据科学,道德,公平和实施方面的挑战是实现PPH潜力的关键.
- 在数据科学,伦理学和实施科学方面的持续研究对于PPH的成功至关重要.
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