NAACCR Online Education
Social Determinants of Health Part 2
Recorded On: 10/28/2020
The importance of examining the intersection of rural-urban status and race/ethnicity in cancer surveillance research: an early-onset colorectal cancer example
Whitney Zahnd, PhD; University of South Carolina
Implementation of a Health-Related Social Needs Screening Tool to Inform Cancer Care Improvement Strategies among Diverse Patients in Primary Care Settings
Jennifer Tsui, PhD, MPH; Assistant Professor, University of Southern California
Application of Machine Learning and computer vision models to identify green and blue space in remote sensing images
Pushkar Inamdar, PhD; Greater Bay Area Cancer Registry
Spatial Econometrics: A framework to understand geographic disparities in cancer outcomes
Sandi Pruitt, PhD; University of Texas Southwestern Medical Center
Whitney Zahnd, PhD
Research Assistant Professor, University of South Carolina
Dr. Whitney Zahnd is a research assistant professor with the Rural & Minority Health Research Center in the Arnold School of Public Health at the University of South Carolina.
Jennifer Tsui, PhD
Associate Professor, University of Southern California
Jennifer Tsui is an Associate Professor at the University of Southern California, Keck School of Medicine and a member of the USC Norris Comprehensive Cancer Center. She is a health services researcher with a focus on disparities in cancer care delivery and cancer outcomes, particularly among racial/ethnic minority and low-income populations. Dr. (SWAY) Tsui’s research utilizes cancer registry information, health care claims, population-based surveys, and geographic/spatial data to understand multilevel influences on patterns of care and cancer care quality for diverse populations. Her other area of research focuses on HPV vaccination and the implementation of evidence-based strategies to increase uptake in safety-net health care settings.
Pushkar Inamdar, PhD
Data Scientist, University of California, San Francisco
Dr. Pushkar Inamdar is a Data Scientist in the Department of Epidemiology and Biostatistics and also a part of the Greater Bay Area Cancer Registry at the University of California, San Francisco (UCSF). His Ph.D. is in the field of Earth and Atmospheric Sciences. His previous research experience is in the Geospatial Sciences, including an application of geostatistics in understanding temporal-spatial patterns. Since, joining UCSF, he has gained experience in characterizing neighborhood attributes for epidemiologic studies, including cohort and electronic health records studies as well as conducting geospatial analyses (e.g., spatial autocorrelation, proximity analysis, data wrangling, kriging, geocoding, remote sensing image analysis). He is applying more advanced concepts like deep learning to perform remote sensing data analysis for the neighborhood characterization, and application of machine learning on geospatial datasets to understand underlying patterns of health risk factors and outcomes.
Sandi Pruitt, PhD, MPH
Associate Professor, University of Texas Southwestern Medical Center
Sandi L. Pruitt, PhD MPH, is an Associate Professor in the Department of Population and Data Sciences at the University of Texas Southwestern Medical Center in Dallas, Texas. Dr. Pruitt uses cancer registry data, electronic health record data, and neighborhood data to better understand geographic, socioeconomic, and racial/ethnic disparities in cancer behaviors and outcomes.