Files and links (1)
Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2024CC BY-NC-ND V4.0, Open
Journal article - Review
Spatial and spatio-temporal statistical implications for measuring structural racism: A review of three widely used residential segregation measures
Spatial and spatio-temporal epidemiology, v 50, 100678
24 Jul 2024
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
Social determinants of health are the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning and quality of life outcomes and risks – these social determinants of health often aid in explaining the racial and ethnic health inequities present in the United States (US). The root cause of these social determinants of health has been tied to structural racism, and residential segregation is one such domain of structural racism that allows for the operationalization of the geography of structural racism. This review focuses on three residential segregation measures that are often utilized to capture segregation as a function of race/ethnicity, income, and simultaneously race/ethnicity and income. Empirical findings related to the spatial and spatio-temporal heterogeneity of these residential segregation measures are presented. We also discuss some of the implications of utilizing these three residential segregation measures.
Metrics
Details
- Title
- Spatial and spatio-temporal statistical implications for measuring structural racism: A review of three widely used residential segregation measures
- Creators
- Loni Phillip Tabb (Corresponding Author) - Drexel University, Urban Health CollaborativeRuby Bayliss - Drexel UniversityYang Xu - Drexel University
- Publication Details
- Spatial and spatio-temporal epidemiology, v 50, 100678
- Publisher
- Elsevier
- Number of pages
- 11
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:001280491100001
- Scopus ID
- 2-s2.0-85199347089
- Other Identifier
- 991021893408304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Public, Environmental & Occupational Health