Fig. 4From: Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal KenyaGetis G i *(d) cluster analysis of study communities based on their higher or lower proportion of malaria-associated febrile cases. The G i *(d) test was used to identify significant community hot-spot clustering (red circles) and/or cold-spot clustering (blue circles, p < 0.05, based on 9999 permutations) during: a the hot dry season (HDS, Jan–Mar); b the long rainy season (LRS, Apr–Jun); c the cool dry season (CDS, Jul–Sept); d the short rainy season (SRS, Oct–Dec); and, e, over all periodsBack to article page