Figure 1 | Scientific Reports

Figure 1

From: Associations between the spatiotemporal distribution of Kawasaki disease and environmental factors: evidence supporting a multifactorial etiologic model

Figure 1

Identification of KD patients and theoretical framework of the spatiotemporal matrix for use for modelling. The spatial and temporal scales were held constant for incidence of KD and the distribution of all predictive features so that data points at the same position in the matrix are aligned with each other in time and space. The temporal (1 month) and spatial (group of ~ 10 FSAs) calipers were decided based on density distribution of the incidence of KD. The example below (red bar) shows the alignment of the incidence of KD and of a generic predicting feature at a specific time and location in our spatiotemporal matrix. KD Kawasaki disease, n number, FSA Forward Sortation Area.

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