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  • 标题:COVID-19 Pandemic and Indigenous Representation in Public Health Data.
  • 本地全文:下载
  • 作者:Kimberly R Huyser ; Aggie J Yellow Horse ; Alena A Kuhlemeier
  • 期刊名称:American journal of public health
  • 印刷版ISSN:0090-0036
  • 出版年度:2021
  • 卷号:111
  • 页码:S208-S214
  • DOI:10.2105/AJPH.2021.306415
  • 语种:English
  • 出版社:American Public Health Association
  • 摘要:Public Health 3.0 calls for the inclusion of new partners and novel data to bring systemic change to the US public health landscape. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has illuminated significant data gaps influenced by ongoing colonial legacies of racism and erasure. American Indian and Alaska Native (AI/AN) populations and communities have been disproportionately affected by incomplete public health data and by the COVID-19 pandemic itself. Our findings indicate that only 26 US states were able to calculate COVID-19‒related death rates for AI/AN populations. Given that 37 states have Indian Health Service locations, we argue that public health researchers and practitioners should have a far larger data set of aggregated public health information on AI/AN populations. Despite enormous obstacles, local Tribal facilities have created effective community responses to COVID-19 testing, tracking, and vaccine administration. Their knowledge can lead the way to a healthier nation. Federal and state governments and health agencies must learn to responsibly support Tribal efforts, collect data from AI/AN persons in partnership with Indian Health Service and Tribal governments, and communicate effectively with Tribal authorities to ensure Indigenous data sovereignty. (Am J Public Health. 2021;111(S3): S208-S214. https://doi.org/10.2105/AJPH.2021.306415).
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