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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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
BMC,
2019-05-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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