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Fig. 6 | BMC Public Health

Fig. 6

From: 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

Fig. 6

Local Moran’s I cluster-outlier maps of malaria incidence for the years 2010 to 2014 and the average incidence with statistical inference based on Monte Carlo randomisation test at 999 permutations, showing significant pseudo p < 0.05 clusters of High-High (hotspot) and Low-Low (colspot); and outliers High-Low and Low-High. LISA: Local Indicator of Spatial Association. The maps were generated using GeoDa statistical software version 1.12

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BMC Public Health

ISSN: 1471-2458

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