A Case Study of the Virginia Covid-19 Equity Leadership Task Force And Health Equity Working Group

This case study describes how the Virginia Equity Leadership Task Force (ELT) uses data to drive allocation of resources. ELT used a data-driven approach to learn where they should allocate resources to make a maximum impact, with a specific focus on marginalized and underserved populations who are at greatest risk of severe disease from COVID-19. They profiled neighborhoods by equity factors including income, race and ethnicity, comorbidities, crowded housing, and preferred language, and then distributed personal protective equipment with priority given to more vulnerable populations. They used similar analyses of social determinants of health; up-to-date COVID-19 vaccination status; and data on cases, hospitalizations, and deaths to determine where to place vaccine centers and hold mass vaccination events.

Resource Details

• Setting/Context of Implementation: Workplace
• Topics of Practice: Data Collection and Analysis|Policy Change/ Development
• Outcomes of Interest: Improve Data Infrastructure|Improve Organizational Infrastructure
• Level of Evidence: Best
• Tools or Materials Included in Resource: No
• Social Determinants of Health: Economic Stability|Healthcare Access and Quality
• Outside of US: No