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Indigenous Peoples' Data During COVID-19: From External to Internal.
Carroll, Stephanie Russo; Akee, Randall; Chung, Pyrou; Cormack, Donna; Kukutai, Tahu; Lovett, Raymond; Suina, Michele; Rowe, Robyn K.
Afiliação
  • Carroll SR; College of Public Health, University of Arizona, Tucson, AZ, United States.
  • Akee R; Native Nations Institute, University of Arizona, Tucson, AZ, United States.
  • Chung P; Department of American Indian Studies and Public Policy, University of California, Los Angeles, Los Angeles, CA, United States.
  • Cormack D; Open Development Initiative, East West Management Institute, New York, NY, United States.
  • Kukutai T; Te Kupenga Hauora Maori, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
  • Lovett R; National Institute of Demographic and Economic Analysis, The University of Waikato, Hamilton, New Zealand.
  • Suina M; Research School of Population Health, Australian National University, Canberra, ACT, Australia.
  • Rowe RK; Albuquerque Area Indian Health Board-Albuquerque Area Southwest Tribal Epidemiology Center, Albuquerque, NM, United States.
Front Sociol ; 6: 617895, 2021.
Article em En | MEDLINE | ID: mdl-33869569
Global disease trackers quantifying the size, spread, and distribution of COVID-19 illustrate the power of data during the pandemic. Data are required for decision-making, planning, mitigation, surveillance, and monitoring the equity of responses. There are dual concerns about the availability and suppression of COVID-19 data; due to historic and ongoing racism and exclusion, publicly available data can be both beneficial and harmful. Systemic policies related to genocide and racism, and historic and ongoing marginalization, have led to limitations in quality, quantity, access, and use of Indigenous Peoples' COVID-19 data. Governments, non-profits, researchers, and other institutions must collaborate with Indigenous Peoples on their own terms to improve access to and use of data for effective public health responses to COVID-19.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article