Geo-visual integration of health outcomes and risk factors using excess risk and conditioned choropleth maps: a case study of malaria incidence and sociodemographic determinants in Ghana

BACKGROUND: Recently, exploratory spatial data analysis is for problem solving, hypothesis generation and knowledge construction. Unless geographically weighted regression, sophisticated spatial regression models best control spatial heterogeneity in outcomes and the associated risk factors but cann...

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Detalles Bibliográficos
Autores principales: Nyadanu, Sylvester Dodzi, Pereira, Gavin, Nawumbeni, Derek Ngbandor, Adampah, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501453/
https://www.ncbi.nlm.nih.gov/pubmed/31060533
http://dx.doi.org/10.1186/s12889-019-6816-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501453/
https://www.ncbi.nlm.nih.gov/pubmed/31060533
http://dx.doi.org/10.1186/s12889-019-6816-z

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