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Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine

机译:大数据和精密医学时代的流行病学未来规划

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摘要

We live in the era of genomics and big data. Evaluating the impact on health of large-scale biological, social, and environmental data is an emerging challenge in the field of epidemiology. In the past 3 years, major discussions and plans for the future of epidemiology, including with several recommendations for actions to transform the field, have been launched by 2 institutes within the National Institutes of Health. In the present commentary, I briefly explore the themes of these recommendations and their effects on leadership, resources, cohort infrastructure, and training. Ongoing engagement within the epidemiology community is needed to determine how to shape the evolution of the field and what truly matters for changing population health. We also need to assess how to leverage existing epidemiology resources and develop new studies to improve human health. Readers are invited to examine these recommendations, consider others that might be important, and join in the conversation about the future of epidemiology.
机译:我们生活在基因组学和大数据时代。评估大规模生物,社会和环境数据对健康的影响是流行病学领域的新兴挑战。在过去的三年中,美国国立卫生研究院内的两个研究所发起了关于流行病学未来的重大讨论和计划,包括对改变这一领域采取行动的一些建议。在本评论中,我简要探讨了这些建议的主题及其对领导力,资源,队列基础设施和培训的影响。需要流行病学界内部的持续参与,以确定如何影响该领域的演变以及对改变人口健康真正重要的因素。我们还需要评估如何利用现有的流行病学资源并开展新的研究来改善人类健康。欢迎读者阅读这些建议,考虑其他可能重要的建议,并加入有关流行病学未来的讨论。

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