Estimating the Unknown: Greater Racial and Ethnic Disparities in COVID-19 Burden After Accounting for Missing Race and Ethnicity Data

The article highlights quantitative bias analysis as a method for improving racial and ethnic COVID-19 disparity estimates when data are missing.

Resource Details

• Population: American Indian|Black or African American|Hispanic, Latino, or Latinx
• Geographic Areas of Implementation: Urban
• Setting/Context of Implementation: Community
• Topics of Practice: Data Collection and Analysis
• Outcomes of Interest: Improve Data Infrastructure
• Level of Evidence: Emerging
• Tools or Materials Included in Resource: No
• Social Determinants of Health: Healthcare Access and Quality
• Outside of US: No