Bayesian Modeling and Estimation of Spatial Risk for Hospitalization and Mortality from Ischemic Heart Disease in Paraná, Brazil

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorState University of Maringa-
Autor(es): dc.contributorDuke University School of Medicine-
Autor(es): dc.contributorCentro Universitário Integrado-
Autor(es): dc.contributorDuke Global Health Institute-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorState University of the West of Paraná-
Autor(es): dc.creatorde Carvalho Dutra, Amanda-
Autor(es): dc.creatorBorba, Isadora Martins-
Autor(es): dc.creatorSilva, Lincoln Luis-
Autor(es): dc.creatorde Campos, Edvaldo Vieira-
Autor(es): dc.creatorDos Santos, Amanda Gubert Alves-
Autor(es): dc.creatorStaton, Catherine Ann-
Autor(es): dc.creatorDo Lago Franco, Rogério-
Autor(es): dc.creatorMarquezoni, Diogo Pinetti-
Autor(es): dc.creatorForato, Giane Aparecida Chaves-
Autor(es): dc.creatorNihei, Oscar Kenji-
Autor(es): dc.creatorBergamini, Marcela-
Autor(es): dc.creatorVissoci, João Ricardo Nickenig-
Autor(es): dc.creatorde Andrade, Luciano-
Data de aceite: dc.date.accessioned2025-08-21T21:57:26Z-
Data de disponibilização: dc.date.available2025-08-21T21:57:26Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5334/gh.1347-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/297684-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/297684-
Descrição: dc.descriptionObjective: Despite significant advancements in understanding risk factors and treatment strategies, ischemic heart disease (IHD) remains the leading cause of mortality worldwide, particularly within specific regions in Brazil, where the disease is a burden. Therefore, the aim of this study was to estimate the risk of hospitalization and mortality from IHD in the state of Paraná (Brazil), using spatial analysis to identify areas with higher risk based on socioeconomic, demographic and health variables. Methods: This is an ecological study based on secondary and retrospective IHD hospitalization and mortality data obtained from the Brazilian Hospitalization and Mortality Information Systems during the 2010–2021 period. Data were analyzed for 399 municipalities and 22 health regions in the state of Paraná. To assess the spatial patterns of the disease and identify relative risk (RR) areas, we constructed a risk model by Bayesian inference using the R-INLA and SpatialEpi packages in R software. Results: A total of 333,229 hospitalizations and 73,221 deaths occurred in the analyzed period, and elevated RR of hospitalization (RR = 27.412, CI 21.801; 34.466) and mortality (RR = 15.673, CI 2.148; 114.319) from IHD occurred in small-sized municipalities. In addition, medium-sized municipalities also presented elevated RR of hospitalization (RR = 6.533, CI 1.748; 2.006) and mortality (RR = 6.092, CI 1.451; 2.163) from IHD. Hospitalization and mortality rates were higher in white men aged 40–59 years. A negative association was found between Municipal Performance Index (IPDM) and IHD hospitalization and mortality. Conclusion: Areas with increased risk of hospitalization and mortality from IHD were found in small and medium-sized municipalities in the state of Paraná, Brazil. These results suggest a deficit in health care attention for IHD cases in these areas, potentially due to a low distribution of health care resources.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionPost-Graduation Program in Health Sciences State University of Maringa-
Descrição: dc.descriptionDepartment of Emergency Medicine Duke University School of Medicine-
Descrição: dc.descriptionCentro Universitário Integrado, Campo Mourao-
Descrição: dc.descriptionDepartment of Medicine State University of Maringa, Maringa-
Descrição: dc.descriptionRegional University Hospital of Maringa State University of Maringa-
Descrição: dc.descriptionDuke Global Health Institute-
Descrição: dc.descriptionHospital das Clinicas of the Medical School of Botucatu UNESP-
Descrição: dc.descriptionEducation Letters and Health Center State University of the West of Paraná, Paraná-
Descrição: dc.descriptionHospital das Clinicas of the Medical School of Botucatu UNESP-
Descrição: dc.descriptionCAPES: 001-
Idioma: dc.languageen-
Relação: dc.relationGlobal Heart-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBayesian analysis-
Palavras-chave: dc.subjectepidemiology-
Palavras-chave: dc.subjectischemic heart disease-
Palavras-chave: dc.subjectspatiotemporal analysis-
Título: dc.titleBayesian Modeling and Estimation of Spatial Risk for Hospitalization and Mortality from Ischemic Heart Disease in Paraná, Brazil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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