美洲印第安人和阿拉斯加土著部落和人口的土著数据主权和COVID-19数据问题。

IF 1.6 Q2 DEMOGRAPHY
JOURNAL OF POPULATION RESEARCH Pub Date : 2022-01-01 Epub Date: 2021-04-09 DOI:10.1007/s12546-021-09261-5
Aggie J Yellow Horse, Kimberly R Huyser
{"title":"美洲印第安人和阿拉斯加土著部落和人口的土著数据主权和COVID-19数据问题。","authors":"Aggie J Yellow Horse,&nbsp;Kimberly R Huyser","doi":"10.1007/s12546-021-09261-5","DOIUrl":null,"url":null,"abstract":"<p><p>Indigenous Peoples in the United States have been experiencing disproportionate impacts of COVID-19. American Indian and Alaska Native persons are more likely to be infected, experience complications, and die from coronavirus. Evidence suggests that Indigenous persons have 3.5 times the incidence rate of non-Hispanic/Latinx whites. Unfortunately, this is likely a gross underestimate because of a lack of reliable and accurate COVID-19 data for American Indian and Alaska Native populations. Multiple factors contribute to poor data quality including the lack of Indigenous representation in the data and rampant racial misclassification at both the individual and group levels. The current pandemic has shed light on multiple pre-existing issues related to Indigenous data sovereignty in data collection and management. We discuss the importance of centring Indigenous data sovereignty in the systemic efforts to increase COVID-19 data availability and quality. The federal and state governments must support and promote Tribes' rights to access data. Federal and state governments should also focus on bolstering their data availability and quality for <i>aggregated</i> data on AIAN populations and for providing <i>disaggregated</i> Tribal data to Tribes. Given the pivotal moment in the United States with ongoing and parallel pandemics of coronavirus and racism, we urge demographers and population scientists to reflect on the role of structural racism in data, data collection and analysis.</p>","PeriodicalId":45624,"journal":{"name":"JOURNAL OF POPULATION RESEARCH","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12546-021-09261-5","citationCount":"18","resultStr":"{\"title\":\"Indigenous data sovereignty and COVID-19 data issues for American Indian and Alaska Native Tribes and populations.\",\"authors\":\"Aggie J Yellow Horse,&nbsp;Kimberly R Huyser\",\"doi\":\"10.1007/s12546-021-09261-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Indigenous Peoples in the United States have been experiencing disproportionate impacts of COVID-19. American Indian and Alaska Native persons are more likely to be infected, experience complications, and die from coronavirus. Evidence suggests that Indigenous persons have 3.5 times the incidence rate of non-Hispanic/Latinx whites. Unfortunately, this is likely a gross underestimate because of a lack of reliable and accurate COVID-19 data for American Indian and Alaska Native populations. Multiple factors contribute to poor data quality including the lack of Indigenous representation in the data and rampant racial misclassification at both the individual and group levels. The current pandemic has shed light on multiple pre-existing issues related to Indigenous data sovereignty in data collection and management. We discuss the importance of centring Indigenous data sovereignty in the systemic efforts to increase COVID-19 data availability and quality. The federal and state governments must support and promote Tribes' rights to access data. Federal and state governments should also focus on bolstering their data availability and quality for <i>aggregated</i> data on AIAN populations and for providing <i>disaggregated</i> Tribal data to Tribes. Given the pivotal moment in the United States with ongoing and parallel pandemics of coronavirus and racism, we urge demographers and population scientists to reflect on the role of structural racism in data, data collection and analysis.</p>\",\"PeriodicalId\":45624,\"journal\":{\"name\":\"JOURNAL OF POPULATION RESEARCH\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s12546-021-09261-5\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF POPULATION RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12546-021-09261-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/4/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF POPULATION RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12546-021-09261-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/4/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 18

摘要

美国土著人民遭受了COVID-19的不成比例的影响。美国印第安人和阿拉斯加原住民更容易被感染、出现并发症并死于冠状病毒。有证据表明,土著人的发病率是非西班牙裔/拉丁裔白人的3.5倍。不幸的是,由于缺乏可靠和准确的美国印第安人和阿拉斯加原住民的COVID-19数据,这可能被严重低估了。多种因素导致数据质量差,包括数据中缺乏土著代表以及个人和群体层面上普遍存在的种族错误分类。当前的大流行病揭示了与数据收集和管理中的土著数据主权有关的多个先前存在的问题。我们讨论了在提高COVID-19数据可用性和质量的系统性努力中以土著数据主权为中心的重要性。联邦政府和州政府必须支持和促进部落获取数据的权利。联邦政府和州政府也应该集中精力提高他们的数据的可用性和质量,以收集有关印第安人人口的汇总数据,并向各部落提供分类的部落数据。鉴于美国正处于冠状病毒和种族主义流行病持续和并行的关键时刻,我们敦促人口统计学家和人口科学家反思结构性种族主义在数据、数据收集和分析中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indigenous data sovereignty and COVID-19 data issues for American Indian and Alaska Native Tribes and populations.

Indigenous Peoples in the United States have been experiencing disproportionate impacts of COVID-19. American Indian and Alaska Native persons are more likely to be infected, experience complications, and die from coronavirus. Evidence suggests that Indigenous persons have 3.5 times the incidence rate of non-Hispanic/Latinx whites. Unfortunately, this is likely a gross underestimate because of a lack of reliable and accurate COVID-19 data for American Indian and Alaska Native populations. Multiple factors contribute to poor data quality including the lack of Indigenous representation in the data and rampant racial misclassification at both the individual and group levels. The current pandemic has shed light on multiple pre-existing issues related to Indigenous data sovereignty in data collection and management. We discuss the importance of centring Indigenous data sovereignty in the systemic efforts to increase COVID-19 data availability and quality. The federal and state governments must support and promote Tribes' rights to access data. Federal and state governments should also focus on bolstering their data availability and quality for aggregated data on AIAN populations and for providing disaggregated Tribal data to Tribes. Given the pivotal moment in the United States with ongoing and parallel pandemics of coronavirus and racism, we urge demographers and population scientists to reflect on the role of structural racism in data, data collection and analysis.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.30
自引率
0.00%
发文量
18
期刊介绍: The Journal of Population Research is a peer-reviewed, international journal which publishes papers on demography and population-related issues. Coverage is not restricted geographically. The Journal publishes substantive empirical analyses, theoretical works, applied research and contributions to methodology. Submissions may take the form of original research papers, perspectives, review articles and shorter technical research notes. Special issues emanating from conferences and other meetings are also considered.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信