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Disparities Made Invisible: Gaps in COVID-19 Data for American Indian and Alaska Native Populations
Journal Article Mar-08-2022 1-min read
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Table of Contents
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Primary Takeaways
Overview and Objectives
Summary of the issue, context, and its importance
Hypothesis or Approach
Anticipated outcome and study methodology
How This Influences Change
Actionable application of the findings
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Research: Go Deeper
Introduction: Complete COVID-19 data for American Indian/Alaska Native (AI/AN) populations are critical to equitable pandemic response.
Methods: We used the COVID-19 U.S. State Policy database to document gaps in COVID-19 data reporting for AI/AN people.
Results: Sixty-four percent of states do not report AI/AN data for at least one COVID-19 health metric: cases, hospitalizations, deaths, or vaccinations.
Discussion: The lack of AI/AN-specific data masks the disproportionate burden of COVID-19 and presents challenges to COVID-19 prevention, policy implementation, and health equity.
Conclusions: Public-facing data disaggregated by race may facilitate rapid response COVID-19 research and policymaking to support AI/AN communities.
Health Equity, March 8, 2022. https://doi.org/10.1089/heq.2021.012
FIG. 1. States reporting race-specific COVID-19 health metrics.
Research Team
This study and report was conducted and created by the following people.
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