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.

Strengthening the Collection and Use of Disaggregated Data to Understand and Monitor the Risk and Burden of COVID-19 Among Racialized Populations

Etowa, J., Hyman, I., Dabone, C., Mbagwu, I., Ghose, B., Sano, Y., Osman, M., Mohamoud, H.

Release Date:

Peer Review Study

French
Data Collection and Analysis
Healthcare Access and Quality
Social and Community Context
Tools Included
Outside U.S.
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Data Collection and Reporting

This article outlines a framework for data collection among communities of color based on a project by local organizations in Canada. The authors also discuss their encounter with data gaps and provide recommendations and strategies for policymakers and community/health stakeholders on how to improve, use, and analyze disaggregated data. As part of the Strengthening Disaggregated Sociodemographic Data Related to COVID-19 project with the Ottawa Local Immigration Partnership (OLIP) and the University of Ottawa, a framework for guiding equitable data collection and use was created.

Resource Details

Outcomes of Interest

Improve Data Infrastructure

Priority Population(s)

Setting(s) of Implementation

Community

Geographic Area of Implementation

Urban

Implementation Period

2020