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A two-stage bayesian model for assessing the geography of racialized economic segregation and premature mortality across US counties.
Xu, Yang; McClure, Leslie A; Quick, Harrison; Jahn, Jaquelyn L; Zakeri, Issa; Headen, Irene; Tabb, Loni Philip.
Afiliação
  • Xu Y; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA. Electronic address: yx382@drexel.edu.
  • McClure LA; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA; College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Ave., St. Louis, MO 63104, USA.
  • Quick H; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA; Division of Biostatistics & Health Data Science, University of Minnesota, 2221 University Ave SE, Suite 200, Minneapolis, MN 55414, USA.
  • Jahn JL; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA; The Ubuntu Center on Racism, Global Movements, and Population Health Equity, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA.
  • Zakeri I; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA.
  • Headen I; Department of Community Health and Prevention, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA.
  • Tabb LP; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia 19104, PA, USA. Electronic address: lpp22@drexel.edu.
Spat Spatiotemporal Epidemiol ; 49: 100652, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38876565
ABSTRACT
Racialized economic segregation, a key metric that simultaneously accounts for spatial, social and income polarization in communities, has been linked to adverse health outcomes, including morbidity and mortality. Due to the spatial nature of this metric, the association between health outcomes and racialized economic segregation could also change with space. Most studies assessing the relationship between racialized economic segregation and health outcomes have always treated racialized economic segregation as a fixed effect and ignored the spatial nature of it. This paper proposes a two-stage Bayesian statistical framework that provides a broad, flexible approach to studying the spatially varying association between premature mortality and racialized economic segregation while accounting for neighborhood-level latent health factors across US counties. The two-stage framework reduces the dimensionality of spatially correlated data and highlights the importance of accounting for spatial autocorrelation in racialized economic segregation measures, in health equity focused settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Teorema de Bayes / Mortalidade Prematura / Segregação Social Limite: Female / Humans / Male País como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Teorema de Bayes / Mortalidade Prematura / Segregação Social Limite: Female / Humans / Male País como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article