Data Science in Public Health: Building Next Generation Capacity
Data Science in Public Health: Building Next Generation Capacity
复制标题
公共卫生中的数据科学：建设下一代能力
DOI：
10.1162/99608f92.18da72db
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Chunara, Rumi
中科院分区：
文献类型：
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作者：
Mirin, Nicholas;Mattie, Heather;Jackson, Latifa;Samad, Zainab;Chunara, Rumi
快速发展的技术、数据和分析环境正在渗透到许多领域和专业。在公共卫生领域，对包括数据素养在内的数据科学技能的需求尤为突出，因为新的数据类型和分析方法有可能填补现有公共卫生研究和干预实践中的空白，而且这些数据或方法有可能延续或扩大健康差距。通过对美国和全球排名前10位的公共卫生学院的公共卫生课程和项目的回顾，本文总结了公共卫生数据科学方面现有的教育工作。这些现有做法有助于为扩大此类课程以扩大学校和人口的努力提供信息。数据科学伦理课程也在评估如何将人口健康原则融入跨数据参与水平的培训中，以增强公共卫生课程的传统核心的背景下进行了研究。来自国内和国际“课堂外”培训项目的平行研究结果也被综合，以推进增加公共卫生数据科学多样性的方法。基于这些计划审查及其综合，提炼出一个四点公式，用于进一步推动公共卫生数据科学教育工作，培养一批具有批判性和包容性的从业者，他们能够流利地利用数据来推进公共卫生目标，提高数字时代的生活质量。
Rapidly evolving technology, data and analytic landscapes are permeating many fields and professions. In public health, the need for data science skills including data literacy is particularly prominent given both the potential of novel data types and analysis methods to fill gaps in existing public health research and intervention practices, as well as the potential of such data or methods to perpetuate or augment health disparities. Through a review of public health courses and programs at the top 10 U.S. and globally ranked schools of public health, this article summarizes existing educational efforts in public health data science. These existing practices serve to inform efforts for broadening such curricula to further schools and populations. Data science ethics course offerings are also examined in context of assessing how population health principles can be blended into training across levels of data involvement to augment the traditional core of public health curricula. Parallel findings from domestic and international 'outside the classroom' training programs are also synthesized to advance approaches for increasing diversity in public health data science. Based on these program reviews and their synthesis, a four-point formula is distilled for furthering public health data science education efforts, toward development of a critical and inclusive mass of practitioners with fluency to leverage data to advance goals of public health and improve quality of life in the digital age.