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COVID-19 Pandemic and Indigenous Representation in Public Health Data.
Huyser, Kimberly R; Horse, Aggie J Yellow; Kuhlemeier, Alena A; Huyser, Michelle R.
Afiliação
  • Huyser KR; Kimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of
  • Horse AJY; Kimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of
  • Kuhlemeier AA; Kimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of
  • Huyser MR; Kimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of
Am J Public Health ; 111(S3): S208-S214, 2021 10.
Article em En | MEDLINE | ID: mdl-34709868
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).
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Pública / United States Indian Health Service / Indígena Americano ou Nativo do Alasca / COVID-19 Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Am J Public Health Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Pública / United States Indian Health Service / Indígena Americano ou Nativo do Alasca / COVID-19 Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Am J Public Health Ano de publicação: 2021 Tipo de documento: Article