Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.

Alternative Methods for Grouping Race and Ethnicity to Monitor COVID-19 Outcomes and Vaccination Coverage

Yoon, P., Hall, J., Fuld, J., Mattocks, S.L., Lyons, B.C., Bhatkoti, R., Henley, J., McNaghten, A.D., Dakalakis, D., Pillai, S.K.

Release Date:

Summary Report/Recommendations

Data Collection and Analysis
Tools Included
Outside U.S.

Data Collection and Reporting

Using available COVID-19 case and vaccination data, the CDC compared three different methodologies for grouping race/ethnicity COVID-19 data. Two of these methodologies are focused on how to group race/ethnicity when fields are missing. The results show that methods that use race information when ethnicity is missing resulted in higher estimated COVID-19 cases, incidence, and vaccination coverage. However, more work must be done to improve upon these methods in order to create more equitable and reliable data.

Resource Details

Outcomes of Interest

Improve Data Infrastructure

Priority Population(s)

Black or African American, Hispanic, Latino, or Latinx

Setting(s) of Implementation

Geographic Area of Implementation

Implementation Period