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.
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。
相似文献
1
The Emergence and Future of Public Health Data Science.公共卫生数据科学的兴起与未来
Public Health Rev. 2021 Apr 26;42:1604023. doi: 10.3389/phrs.2021.1604023. eCollection 2021.
2
Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action.大数据研究在城市公共卫生和数字流行病学中的可重复性和科学诚信：行动呼吁。
Int J Environ Res Public Health. 2023 Jan 13;20(2):1473. doi: 10.3390/ijerph20021473.
3
Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education.大数据时代的科学训练：研究生教育的新教育学
Big Data. 2017 Mar;5(1):12-18. doi: 10.1089/big.2016.0014. Epub 2017 Mar 13.
4
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
5
m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics.移动医疗 2.0：移动医疗、机器学习和大数据分析的新视角。
Methods. 2018 Dec 1;151:34-40. doi: 10.1016/j.ymeth.2018.05.015. Epub 2018 Jun 8.
6
Why geographic data science is not a science.为何地理数据科学并非一门科学。
Geogr Compass. 2020 Nov;14(11):e12537. doi: 10.1111/gec3.12537. Epub 2020 Jul 24.
7
Public understanding of science.公众对科学的理解。
Lancet. 1996 Apr 20;347(9008):1087-90. doi: 10.1016/s0140-6736(96)90283-4.
8
Practical Strategies for Collaboration across Discipline-Based Education Research and the Learning Sciences.跨学科教育研究与学习科学合作的实用策略
CBE Life Sci Educ. 2016 Winter;15(4). doi: 10.1187/cbe.15-12-0252.
9
Toward a manifesto for the 'public understanding of big data'.迈向“大数据公众理解”宣言
Public Underst Sci. 2016 Jan;25(1):104-16. doi: 10.1177/0963662515609005. Epub 2015 Oct 13.
10
The emergent discipline of health web science.健康网络科学这一新兴学科。
J Med Internet Res. 2013 Aug 22;15(8):e166. doi: 10.2196/jmir.2499.
引用本文的文献
1
Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB using machine learning techniques.评估中国东北地区疾病预防控制中心工作人员的培训需求及影响因素：一项基于自我决定理论和计划行为理论并运用机器学习技术的横断面研究
BMC Public Health. 2025 Jun 10;25(1):2157. doi: 10.1186/s12889-025-23393-w.
2
Bridging the gap: enhancing data science and leadership knowledge and skills in the context of the public health workforce.缩小差距：在公共卫生劳动力背景下提升数据科学与领导力知识及技能。
Front Public Health. 2025 Apr 29;13:1505869. doi: 10.3389/fpubh.2025.1505869. eCollection 2025.
3
Refining Established Practices for Research Question Definition to Foster Interdisciplinary Research Skills in a Digital Age: Consensus Study With Nominal Group Technique.完善研究问题定义的既定方法以培养数字时代的跨学科研究技能：名义群体技术共识研究
JMIR Med Educ. 2025 Jan 23;11:e56369. doi: 10.2196/56369.
4
A collaborative approach to advancing research and training in Public Health Data Science-challenges, opportunities, and lessons learnt.推进公共卫生数据科学研究与培训的协作方法——挑战、机遇与经验教训
Front Public Health. 2024 Dec 11;12:1474947. doi: 10.3389/fpubh.2024.1474947. eCollection 2024.
5
Current data science capacity building initiatives for health researchers in LMICs: global & regional efforts.低收入和中等收入国家卫生研究人员当前的数据科学能力建设举措：全球和区域努力。
Front Public Health. 2024 Nov 27;12:1418382. doi: 10.3389/fpubh.2024.1418382. eCollection 2024.
6
A narrative review of the CEPH-accredited bachelor's public health programs' curricula in the United States.美国经 CEPH 认证的本科公共卫生项目课程的叙述性综述。
Front Public Health. 2024 Aug 21;12:1436386. doi: 10.3389/fpubh.2024.1436386. eCollection 2024.
7
Providing insights into health data science education through artificial intelligence.通过人工智能洞察健康数据科学教育。
BMC Med Educ. 2024 May 23;24(1):564. doi: 10.1186/s12909-024-05555-3.
8
Identifying globally relevant learnings from Africa's challenges and solutions to climate change and air pollution-related health impacts: a data science scoping review protocol.从非洲应对气候变化和与空气污染有关的健康影响的挑战和解决方案中识别具有全球相关性的经验教训：一项数据科学范围界定综述方案。
BMJ Open. 2024 May 20;14(5):e076941. doi: 10.1136/bmjopen-2023-076941.
9
Advancing Data Science Among the Federal Public Health Workforce: The Data Science Upskilling Program, Centers for Disease Control and Prevention.提升联邦公共卫生工作队伍的数据科学水平：疾病控制与预防中心的数据科学技能提升计划
J Public Health Manag Pract. 2024;30(2):E41-E46. doi: 10.1097/PHH.0000000000001865.
10
The promise of data science for health research in Africa.数据科学对非洲健康研究的承诺。
Nat Commun. 2023 Sep 29;14(1):6084. doi: 10.1038/s41467-023-41809-2.
本文引用的文献
1
An overview of methods to address distinct research questions on environmental mixtures: an application to persistent organic pollutants and leukocyte telomere length.解决环境混合物中不同研究问题的方法概述：以持久性有机污染物和白细胞端粒长度为例。
Environ Health. 2019 Aug 28;18(1):76. doi: 10.1186/s12940-019-0515-1.
2
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。
Nat Hum Behav. 2019 Jul;3(7):650-652. doi: 10.1038/s41562-019-0629-z.
3
Good enough practices in scientific computing.科学计算中的良好实践。
PLoS Comput Biol. 2017 Jun 22;13(6):e1005510. doi: 10.1371/journal.pcbi.1005510. eCollection 2017 Jun.
4
What is data ethics?什么是数据伦理？
Philos Trans A Math Phys Eng Sci. 2016 Dec 28;374(2083). doi: 10.1098/rsta.2016.0360.
5
UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.英国生物银行：一个用于识别多种中老年复杂疾病病因的开放获取资源。
PLoS Med. 2015 Mar 31;12(3):e1001779. doi: 10.1371/journal.pmed.1001779. eCollection 2015 Mar.
6
A new initiative on precision medicine.一项关于精准医学的新倡议。
N Engl J Med. 2015 Feb 26;372(9):793-5. doi: 10.1056/NEJMp1500523. Epub 2015 Jan 30.
Zotero 插件