Cluster-based dual evolution for multivariate time series: Analyzing COVID-19

Nick James; Max Menzies

doi:10.1063/5.0013156

FIG. 5.

An external file that holds a picture, illustration, etc.
Object name is CHAOEH-000030-061108_1-g005.jpg

(a) depicts the affinity matrix for case counts at 04/27/2020, (b) depicts the deaths affinity matrix for 04/11/2020, and (c) depicts the inconsistency matrix with an offset of $τ = 16$ from Table I. Only countries with greater than 5000 cases at 04/30 are included and ordered alphabetically along the axes. The more prominent the respective row and column in the inconsistency matrix, the more anomalous the country. The three most prominent anomalies in (c) are Qatar, Singapore, and Bangladesh.