Understanding Social Determinants of COVID-19 Testing and Vaccination Working Group
The Understanding Social Determinants of COVID-19 Testing and Vaccination Working Group is one of six (6) working groups in the RADx-UP program tackling specific topics and challenges that may commonly occur among similar populations across the country.
This working group will bring together RADx-UP awardees and community partners interested in understanding the social determinants of testing and vaccination. With particular attention to underserved populations and COVID-19 vulnerable populations, working group members will work together to develop community-informed shared models of access to testing and vaccination and disseminate these models. Their goals are to:
- Create a RADx-UP conceptual framework for social determinants of COVID-19 testing and vaccination,
- and to determine how RADx-UP projects are screening for and following up on unmet basic needs among participants, and develop recommendations for this process.
RADx-UP Working Groups
Check all six (6) program working groups.
Shared and Developed Resources
How to Test with a FlowFlex COVID-19 At-Home Test
The Working Group partnered with the U.S. Food and Drug Administration (FDA) and ACON Laboratories to develop and release how-to test demonstration videos in English and Spanish to encourage use and trust in COVID-19 tests.
How to Read Results of Your FlowFlex COVID-19 Rapid At-home Test
The Working Group partnered with the FDA and ACON Laboratories to develop and release how-to test demonstration videos in English and Spanish to encourage use and trust in COVID-19 tests.
Prueba casera de antígeno COVID-19: cómo realizar la prueba
The Working Group partnered with the FDA and ACON Laboratories to develop and release how-to test demonstration videos in English and Spanish to encourage use and trust in COVID-19 tests.
Prueba casera de antígeno COVID-19: cómo leer sus resultados
The Working Group partnered with the FDA and ACON Laboratories to develop and release how-to test demonstration videos in English and Spanish to encourage use and trust in COVID-19 tests.
Hispanic Services Council Social Needs Screening Tool
This survey asks study participants 10 questions related to their current unmet needs related to housing, food, utilities, and more.
SDoTV Causal Loop Diagram Table
We collaborated with the CDCC Group Model Building team to create a visual representation of what helps, or hurts, equitable COVID-19 testing.
Group Model Building Video Library
Watch the "Chicken and the Egg" video will give a helpful overview of systems thinking and the specific resource, called a Causal Loop Diagram.
Past Group Chairs
Ann Middleton, MPH
Ann Middleton, MPH is a senior researcher in the Health Program at American Institutes for Research (AIR). Ms. Middleton has fifteen years’ experience conducting policy review, formative evaluation, and mixed-methods implementation and outcome studies for local, state, federal and foundation partners. Her work spans research and technical assistance around social services provision, workforce development, healthcare quality improvement, and community-level policy, systems, and environmental change initiatives addressing chronic disease. Her recent projects include evaluations of behavioral health integration in primary care and school environments, and evaluation planning and design technical assistance for county health departments developing clinic-to-community referral networks and equitable funding practices and engagement.
Ann-Marie Akiwumi, MPH, PMP
Ann-Marie Akiwumi, MPH, PMP is a principal data scientist in the health program at American Institutes for Research. She has over 13 years of experience conducting focused analytic studies and advanced analytics using a variety of large disparate data including Medicare, Medicaid, marketplace, health equity, and social determinants of health (SDOH) data. Ms. Akiwumi is the data analytics lead for the division’s data analytic portfolio with its diverse teams of SAS programmers, software developers and data scientists. She brings a strong history of creating, implementing, and standardizing efficient operations of data analytic contracts, and her interest in SDOH is exercised as the lead in the development and maintenance of the Health division’s SDOH Action Tool, a data visualization tool that highlights which evidence based SDOH factors are affecting population health at the local level.
Gabriela Oates, PhD
Alberto M. Ortega Hinojosa, PhD, MPH
Gabriela Oates, PhD is Assistant Professor in the Division of Pediatric Pulmonary and Sleep Medicine at the University of Alabama at Birmingham (UAB) Heersink School of Medicine, with a secondary appointment in the Division of Preventive Medicine.
Dr. Oates has expertise in the social determinants of health (SDoH) and the application of SDoH measures, tools, and data for health disparities and population health research. She investigates the impact of multi-level demographic, socioeconomic, and environmental factors on outcomes in chronic diseases across the life course. The ultimate goal of this work is to develop strategies for reducing the burden of racial and socioeconomic disparities on health.
Dr. Oates received her PhD in Medical Sociology in 2015, and additional research training through the K12 Patient Centered Outcomes Research (PCOR) Program and the NIH Summer Institute on Randomized Behavioral Clinical Trials. Her research is supported by grants from the NIH, the Alabama Department of Public Health, and the Cystic Fibrosis Foundation, among others.
Alberto M. Ortega Hinojosa is a principal researcher in the Health Program at American Institutes for Research (AIR). He has more than fourteen years of research experience in the development, maintenance, optimization, and use of comprehensive research datasets with multiple levels of detail and non-conforming geographies, interactive cloud-based business intelligence and data visualization solutions, and geographic information systems (GIS). Dr. Ortega has expertise in health equity and social determinants of health (SDoH), health data and business intelligence, healthcare knowledge translation, and healthcare policy implementation and evaluation, including developing conceptual models to create evidence-based measures to inform policy and research analyses.
Grants
Upcoming opportunities to apply for funding.
Resources
Explore our library of resources for researchers and the general public.
Publications
Explore our dashboard of recent RADx-UP scholarship.