Emerging
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.

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

Labgold, K., Hamid, S., Shah, S., Gandhi, N. R., Chamberlain, A., Khan, F., Khan, S., Smith, S., Williams, S., Lash, T., Collins, L.J.

Release Date:

Peer Review Study

Data Collection and Analysis
Healthcare Access and Quality
Tools Included
Outside U.S.
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Data Collection and Reporting

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

Resource Details

Outcomes of Interest

Improve Data Infrastructure

Priority Population(s)

American Indian, Black or African American, Hispanic, Latino, or Latinx

Setting(s) of Implementation

Community

Geographic Area of Implementation

Urban

Implementation Period

2020