Fig. 2
From: Geospatial analysis of shared risks for tuberculosis transmission in an urban cohort

Local Spatial Clusters of TB Incidence Identified by LISA Analysis, Greater Accra Region. Each 1.5 km2 grip cell was classified based on Local Moran’s I analysis of crude TB incidence. High-high clusters indicate cells with higher-than-expected incidence surrounded by similarly high-incidence neighbors. Low-Low clusters indicate cells with lower-than-expected incidence surrounded by low-incidence neighbors. High-Low outliers represent high-incidence cells surrounded by low-incidence neighbors. Low–High outliers represent low-incidence cells surrounded by high-incidence neighbors. Clusters were defined using a first-order queen contiguity spatial weights matrix. Statistical significance was determined at p < 0.05 based on 999 random permutations. Non-significant cells are shown in white.