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Fig. 4 | BMC Public Health

Fig. 4

From: Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions

Fig. 4

Correlograms for visualizing and testing the spatial autocorrelation within the observed data—(a) and (b) represent the plots of Moran’s I coefficients as function of distance for the prevalence of malaria infection and clinical cases, respectively in the OKT health district while (c) and (d) are Moran’s I plots as function of distance in the DCO health district. Blue color points represent the significant autocorrelation coefficients and the red line represents the overall trend of coefficients with distance

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BMC Public Health

ISSN: 1471-2458

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