Our future works will focus on improving the prediction accuracy by developing more powerful classifiers and more accurate spatial clustering algorithms.
As clustering is based on spatial similarity, the higher spatial resolution is the more accurate spatial clustering result that can be achieved.
Significant genetic variation was observed among human isolates at the regional level, indicating a more localized spatial clustering of STEC O157 H7 genotypes.
These seemingly contrary results reflect 1) decreased variability between sites within a given evaluation unit, 2) closer proximity to a threshold caused by the overall reduction in prevalence, and 3) more focal spatial clustering after MDA.
The null hypothesis is rejected when FSAs with high or low SIRs are more spatially clustered than would be expected if the underlying spatial processes were truly random.
For fractures, the result was even more marked as spatial clustering explained 57.9% of the association pattern.
Patterns of drug use also showed more low-low spatial clusters (cold spots) than high-high spatial clusters (hot spots), and those low-low associations were clustered in the rural areas.
We found that the clustering score for spatial clustering of the more 'conservative' and smaller data set (terminal.pen2) is, at 2.8, substantially increased compared to the clustering score of the larger set (terminal.pen1), at 1.6.
More specifically, we use the DBSCAN (Density‐Based Spatial Clustering of Applications with Noise) algorithm [21] that is based on the notion of density reachability.
We speak of spatial clustering if cases are more likely to occur in geographic proximity to other cases.
