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

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...

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Detalles Bibliográficos
Autores principales: Skinner, Alexandra, Raifman, Julia, Ferrara, Elizabeth, Raderman, Will, Quandelacy, Talia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2022
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985526/
https://www.ncbi.nlm.nih.gov/pubmed/35402772
http://dx.doi.org/10.1089/heq.2021.0129
Descripción
Sumario: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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