流行病学家应如何应对数据灭绝?

Q2 Social Sciences AMA journal of ethics Pub Date : 2025-01-01 DOI:10.1001/amajethics.2025.44
Abigail Echo-Hawk, Sofia Locklear, Sarah McNally, Lannesse Baker, Sacena Gurule
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引用次数: 0

摘要

美国印第安人/阿拉斯加原住民(AI/AN)的数据质量受到根深蒂固的殖民做法的破坏,这些做法已成为美国联邦数据系统的标准。本文以孕产妇死亡率和COVID-19病例为例,展示了在研究人工智能/人工智能健康趋势时,对包容性、多样性和准确数据的伦理和临床需求。本文进一步认为,流行病学家必须特别挑战隐性偏见,质疑方法和实践,并认识到长期以来破坏流行病学研究基础的数据收集、分析和传播实践的关于人工智能/AN人群的殖民、种族主义报道做法。
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How Should Epidemiologists Respond to Data Genocide?

Data quality for and about American Indian/Alaska Native (AI/AN) people is undermined by deeply entrenched, colonial practices that have become standard in US federal data systems. This article draws on cases of maternal mortality and COVID-19 to demonstrate the ethical and clinical need for inclusive, diverse, and accurate data when researching AI/AN health trends. This article further argues that epidemiologists specifically must challenge implicit bias, question methods and practices, and recognize colonial, racist reporting practices about AI/AN people that have long undermined data collection, analytical, and dissemination practices that are fundamental to epidemiological research.

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来源期刊
AMA journal of ethics
AMA journal of ethics Social Sciences-Health (social science)
CiteScore
1.90
自引率
0.00%
发文量
146
期刊介绍: The AMA Journal of Ethics exists to help medical students, physicians and all health care professionals navigate ethical decisions in service to patients and society. The journal publishes cases and expert commentary, medical education articles, policy discussions, peer-reviewed articles for journal-based and audio CME, visuals, and more. Since its inception as an editorially-independent journal, we promote ethics inquiry as a public good.
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