Indigenous Peoples' Data During COVID-19: From External to Internal.

Indigenous Peoples data governance data sharing data sovereignty public health

Journal

Frontiers in sociology
ISSN: 2297-7775
Titre abrégé: Front Sociol
Pays: Switzerland
ID NLM: 101777459

Informations de publication

Date de publication:
2021
Historique:
received: 15 10 2020
accepted: 02 03 2021
entrez: 19 4 2021
pubmed: 20 4 2021
medline: 20 4 2021
Statut: epublish

Résumé

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

Identifiants

pubmed: 33869569
doi: 10.3389/fsoc.2021.617895
pmc: PMC8022638
doi:

Types de publication

Journal Article

Langues

eng

Pagination

617895

Subventions

Organisme : NICHD NIH HHS
ID : P2C HD041022
Pays : United States

Informations de copyright

Copyright © 2021 Carroll, Akee, Chung, Cormack, Kukutai, Lovett, Suina and Rowe.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Stephanie Russo Carroll (SR)

College of Public Health, University of Arizona, Tucson, AZ, United States.
Native Nations Institute, University of Arizona, Tucson, AZ, United States.

Randall Akee (R)

Department of American Indian Studies and Public Policy, University of California, Los Angeles, Los Angeles, CA, United States.

Pyrou Chung (P)

Open Development Initiative, East West Management Institute, New York, NY, United States.

Donna Cormack (D)

Te Kupenga Hauora Māori, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Tahu Kukutai (T)

National Institute of Demographic and Economic Analysis, The University of Waikato, Hamilton, New Zealand.

Raymond Lovett (R)

Research School of Population Health, Australian National University, Canberra, ACT, Australia.

Michele Suina (M)

Albuquerque Area Indian Health Board-Albuquerque Area Southwest Tribal Epidemiology Center, Albuquerque, NM, United States.

Robyn K Rowe (RK)

School of Rural and Northern Health, Laurentian University, Greater Sudbury, ON, Canada.

Classifications MeSH