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公共卫生数据科学的兴起与未来

The Emergence and Future of Public Health Data Science.

作者信息

Goldsmith Jeff, Sun Yifei, Fried Linda P, Wing Jeannette, Miller Gary W, Berhane Kiros

机构信息

Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, United States.

Columbia University Mailman School of Public Health, New York, NY, United States.

出版信息

Public Health Rev. 2021 Apr 26;42:1604023. doi: 10.3389/phrs.2021.1604023. eCollection 2021.

DOI:10.3389/phrs.2021.1604023
PMID:34692178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8378512/
Abstract

Data science is a newly-formed and, as yet, loosely-defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term "data science," particularly as it relates to public health; to identify ways that data science methods can strengthen public health research; to propose ways to strengthen education for public health data science; and to discuss issues in data science that may benefit from a public health perspective.

摘要

数据科学是一门新兴且尚未明确界定的学科,但它已成为成功的科学研究的关键组成部分。我们旨在阐明“数据科学”这一术语,尤其是其与公共卫生相关的方面;确定数据科学方法可加强公共卫生研究的方式;提出加强公共卫生数据科学教育的方法;并讨论从公共卫生角度可能受益的数据科学问题。

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A visual tool for defining reproducibility and replicability.一种用于定义可重复性和可复制性的可视化工具。
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PLoS Comput Biol. 2017 Jun 22;13(6):e1005510. doi: 10.1371/journal.pcbi.1005510. eCollection 2017 Jun.
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A new initiative on precision medicine.一项关于精准医学的新倡议。
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