Drexel University Dornsife School of Public Health
About the Webinar
Exploratory and inferential spatial statistical methods are the tools needed to further understand the geography of health across the United States, with a targeted focus on understanding the impacts of the social determinants of health (SDOH). In particular, the SDOH framework has five domains: economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context. Exploratory and inferential spatial statistical methods including, but not limited to, choropleth maps, Moran’s I statistics, local indicators of spatial analysis, and spatial regression frameworks (traditional frequentist and Bayesian frameworks) allow for rigorous approaches to considering the importance of the SDOH, especially the neighborhood and built environment domain.
This webinar aims to present various statistical methods needed for researchers, policy makers, health officials, and community members to better understand the importance of neighborhoods on health and social outcomes, with a focus on health inequities. Lastly, given the recently released Healthy People 2030 goals, the highlighted exploratory and inferential spatial statistical methods that is presented can be utilized in efforts to “create social, physical, and economic environments that promote attaining the full potential for health and well-being for all” (1 of 5 Healthy People 2030 Goals).
About Loni Philip Tabb
Dr. Loni Philip Tabb is an Associate Professor of Biostatistics in the Department of Epidemiology and Biostatistics and Associate Dean for Faculty Affairs at Drexel University’s Dornsife School of Public Health in Philadelphia, PA. She received her Ph.D. in biostatistics from Harvard University in 2010 where she developed novel statistical methods to address zero inflation in longitudinal count data, with applications to environmental health and health disparities research.
Since her arrival at Drexel University, she has led and collaborated as a Principal Investigator and Co-Investigator, respectively, on several National Institutes of Health, National Science Foundation, Robert Wood Johnson Foundation, Annie E. Casey Foundation, and Sidney Kimmel Cancer Center funded projects. Her research aims to develop and utilize novel and existing spatial and spatio-temporal statistical methods in applications that further seek to address and eliminate racial inequities in health across the U.S. Her contributions provide the evidence needed to inform policy makers, health officials, and the communities affected by racial inequities to create sustainable change and solutions for these public health challenges.