Indigenous Peoples' Data During COVID-19: From External to Internal
Affiliation
College of Public Health, University of ArizonaNative Nations Institute, University of Arizona
Issue Date
2021
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Frontiers Media S.A.Citation
Carroll, S. R., Akee, R., Chung, P., Cormack, D., Kukutai, T., Lovett, R., ... & Rowe, R. K. (2021). Indigenous Peoples' Data During COVID-19: From External to Internal. Frontiers in Sociology, 6, 62.Journal
Frontiers in SociologyRights
Copyright © 2021 Carroll, Akee, Chung, Cormack, Kukutai, Lovett, Suina and Rowe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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. © Copyright © 2021 Carroll, Akee, Chung, Cormack, Kukutai, Lovett, Suina and Rowe.Note
Open access journalISSN
2297-7775Version
Final published versionae974a485f413a2113503eed53cd6c53
10.3389/fsoc.2021.617895
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Except where otherwise noted, this item's license is described as Copyright © 2021 Carroll, Akee, Chung, Cormack, Kukutai, Lovett, Suina and Rowe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).