Disparities Made Invisible: Gaps in COVID-19 Data for American Indian and Alaska Native Populations

被忽视的差距:美国印第安人和阿拉斯加原住民新冠疫情数据方面的差距

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Abstract

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.

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