RADx-UP Coordination and Data Collection: An Infrastructure for COVID-19 Testing Disparities Research.

Abstract

Department

Description

Provenance

Subjects

Citation

Published Version (Please cite this version)

10.2105/ajph.2022.306953

Publication Info

Corbie, Giselle, Emily M D'Agostino, Susan Knox, Al Richmond, Christopher W Woods, Gaurav Dave, Krista M Perreira, Keith Marsolo, et al. (2022). RADx-UP Coordination and Data Collection: An Infrastructure for COVID-19 Testing Disparities Research. American journal of public health. pp. e1–e6. 10.2105/ajph.2022.306953 Retrieved from https://hdl.handle.net/10161/26179.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

D'Agostino

Emily Meredith D'Agostino

Associate Professor in Orthopaedic Surgery

Dr. D’Agostino is a community-engaged epidemiologist and Associate Professor in the Department of Orthopaedic Surgery, Duke University School of Medicine. She also is the Associate Editor of Childhood Obesity, Director of Community-Engaged Research Practice in the Division of Occupational Therapy, and co-Director of the Duke Center for Child Obesity Research. Dr. D’Agostino’s research draws from over 20 years of experience working directly in school and park settings to develop innovative, community-based strategies targeting health access for all. She holds expertise in physical activity, obesity, fitness, and mental well-being in community settings, multilevel modeling techniques, analysis of complex longitudinal datasets, and methods of epidemiology instruction. Dr. D’Agostino serves as PI on the Youth Empowered Self-Care (YES) and Going Places studies to promote youth well-being and physical activity in close collaboration with Parks and Recreation. She also serves as Co-PI on the You & Me: Test and Treat study, Co-PI on the You and Me Healthy Registry program, and Co-I on the Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program that coordinates 143 research projects and develops community-engaged research capacity nationally. She holds appointments in the Duke Department of Population Health Sciences, the Duke Global Health Institute, and is a faculty member of the Duke Clinical Research Institute. Dr. D’Agostino obtained her doctoral training in epidemiology at the City University of New York, Graduate School of Public Health and Health Policy.

Woods

Christopher Wildrick Woods

Wolfgang Joklik Distinguished Professor of Global Health

1. Emerging Infections
2. Global Health
3. Epidemiology of infectious diseases
4. Clinical microbiology and diagnostics
5. Bioterrorism Preparedness
6. Surveillance for communicable diseases
7. Antimicrobial resistance

Marsolo

Keith Allen Marsolo

Professor in Population Health Sciences

Dr. Marsolo is a faculty member in the Department of Population Health Sciences (DPHS) and a member of the Duke Clinical Research Institute (DCRI).  His current research focuses on infrastructure to support the use of electronic health records (EHRs) and other real-world data sources in observational and comparative effectiveness research and public health surveillance, as well as standards and architectures for multi-center learning health systems.  He serves as faculty advisor to the DPHS DataShare Shared Facility and faculty lead for the Pragmatic Health Services Research (PHSR) functional group within the DCRI.  Dr. Marsolo received his PhD in Computer Science from The Ohio State University, with a dissertation on data mining, specifically the modeling and classification of biomedical data. 

Prior to joining DPHS, Dr. Marsolo was an an Associate Professor in the Division of Biomedical Informatics (BMI) at Cincinnati Children’s Hospital Medical Center (CCHMC). While at CCHMC, Dr. Marsolo served as faculty advisor for BMI Data Services, a shared facility that supported distributed data sharing networks and also developed registry platforms to support learning networks. These included a configurable system for capturing summary or practice-level measures, and a “data-in-once” architecture that allowed information to be collected in the EHR and then be automatically transferred to a registry in order to support chronic care management, quality improvement and research.

Area of Expertise: Informatics, Data Quality, Common Data Models, Data Standards and Data Harmonization
Wruck

Lisa Wruck

Professor of Biostatistics & Bioinformatics

Coordinating Centers, Pragmatic Clinical Research, Real World Evidence, Neurocognitive Data, Data Science Workforce Development 

Kibbe

Warren Alden Kibbe

Professor in Biostatistics & Bioinformatics

Warren A. Kibbe, PhD, is chief for Translational Biomedical Informatics in the Department of Biostatistics and Bioinformatics and Chief Data Officer for the Duke Cancer Institute. He joined the Duke University School of Medicine in August after serving as the acting deputy director of the National Cancer Institute (NCI) and director of the NCI’s Center for Biomedical Informatics and Information Technology where he oversaw 60 federal employees and more than 600 contractors, and served as an acting Deputy Director for NCI. As an acting Deputy Director, Dr. Kibbe was involved in the myriad of activities that NCI oversees as a research organization, as a convening body for cancer research, and as a major funder of cancer research, funding nearly $4B US annually in cancer research throughout the United States. 

Cohen-Wolkowiez

Michael Cohen-Wolkowiez

Kiser-Arena Distinguished Professor

Pediatric and adult clinical pharmacology and clinical trials.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.