Bayesian Spatial Modeling of Diabetes and Hypertension: Results from the South Africa General Household Survey

Determining spatial links between disease risk and socio-demographic characteristics is vital in disease management and policymaking. However, data are subject to complexities caused by heterogeneity across host classes and space epidemic processes. This study aims to implement a spatially varying c...

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Detalles Bibliográficos
Autores principales: Ogunsakin, Ropo E., Ginindza, Themba G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331550/
https://www.ncbi.nlm.nih.gov/pubmed/35897258
http://dx.doi.org/10.3390/ijerph19158886

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331550/
https://www.ncbi.nlm.nih.gov/pubmed/35897258
http://dx.doi.org/10.3390/ijerph19158886

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