Residential segregation of settlements on caste lines is common across Indian villages. Banjara settlements or tandas are an extreme form of residential segregation, rooted in colonial history and India's complex caste system, and an outcome of structural discrimination. This analysis examines the structural discrimination of tandas in the distribution of various infrastructure and compares it with the villages in proximity to it. A cross-sectional comparative study of infrastructure was conducted in Banjara tandas and villages in Gadag district, Karnataka, India. Composite scores were computed for various infrastructure and discriminant analysis done to classify tandas and villages. The villages have better physical infrastructure such as paved roads, multiple water supply sources, and better drains and amenities such as the community water filter, ration shop, veterinary center, milk society, banks, post office, and health facilities compared to tandas. Discriminant analysis indicated that social infrastructural indicators of health and education (Discriminant function coefficient -0.8689), followed by transportation (Discriminant function coefficient -0.3576) and water supply (Discriminant function coefficient -0.2939), are the most significant discriminating factors between tanda and villages. This disadvantage indicates structural discrimination that is a continuation of the stigma and labeling perpetrated upon them historically and the complex caste system in Indian societies.
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http://dx.doi.org/10.1177/27551938231188043 | DOI Listing |
Cancer Causes Control
January 2025
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, 265 Farber Hall, Buffalo, NY, 14214, USA.
Purpose: Historical redlining, a 1930s-era form of residential segregation and proxy of structural racism, has been associated with breast cancer risk, stage, and survival, but research is lacking on how known present-day breast cancer risk factors are related to historical redlining. We aimed to describe the clustering of present-day neighborhood-level breast cancer risk factors with historical redlining and evaluate geographic patterning across the US.
Methods: This ecologic study included US neighborhoods (census tracts) with Home Owners' Loan Corporation (HOLC) grades, defined as having a score in the Historic Redlining Score dataset; 2019 Population Level Analysis and Community EStimates (PLACES) data; and 2014-2016 Environmental Justice Index (EJI) data.
Am J Prev Med
December 2024
Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
Introduction: To examine the associations of neighborhood socioeconomic status (nSES), ethnic enclaves, residential Black segregation with screening for breast, cervical and colorectal (CRC) cancers across the state of Texas (TX).
Methods: Using an ecologic study design, spatial clustering of low breast, cervical and CRC screening rates were identified across TX census tracts using local Moran's I statistics. Binomial spatial probit regression was used to estimate the associations between nSES, Hispanic/Latino and Asian American (AA) ethnic enclave neighborhoods and residential Black segregation with geospatial clusters of low screening, adjusting for behavioral characteristics.
Open Forum Infect Dis
January 2025
Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Disparities in coronavirus disease 2019 mortality are driven by inequalities in group-specific incidence rates (IRs), case fatality rates (CFRs), and their interaction. For emerging infections, such as severe acute respiratory syndrome coronavirus 2, group-specific IRs and CFRs change on different time scales, and inequities in these measures may reflect different social and medical mechanisms. To be useful tools for public health surveillance and policy, analyses of changing mortality rate disparities must independently address changes in IRs and CFRs.
View Article and Find Full Text PDFChild Abuse Negl
December 2024
The Ohio State University, College of Social Work, 300 Stillman Hall, 1947 North College Road, Columbus, OH 43210, United States of America. Electronic address:
Background: Neighborhood disadvantage is linked to a higher risk of referrals to child welfare and juvenile justice systems. While past research has explored these associations independently, no study has concurrently examined the spatial overlap of child maltreatment and juvenile justice involvement.
Objective: We examine the spatial overlap of involvement in juvenile justice and child welfare systems to identify areas of shared risk.
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