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

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

Abstract 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...

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Bibliographic Details
Main Authors: Sylvester Dodzi Nyadanu, Gavin Pereira, Derek Ngbandor Nawumbeni, Timothy Adampah
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Public Health
Subjects:
Sociodemographic determinants
Excess risk maps
Conditioned choropleth maps
Online Access:http://link.springer.com/article/10.1186/s12889-019-6816-z

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http://link.springer.com/article/10.1186/s12889-019-6816-z

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