This paper represents visual results for the B2 module of the MAS. Using four meta genetic variables, multiple probability measures are extracted. Variations between pairs of virus genomes could be measured. From a macroscopic viewpoint, measures can be organized in a set of 1616 with (m+1)2 density matrix in combinations with supersymmetric properties. In view of the different types of coronary virus samples, various pairs of genomes make different projections under multiple levels of hierarchical forms of quantization matrix. Under proper selection, huge numbers of variations could be performed. Applying this transformation, a list of sample results are generated to illustrate intrinsic symmetric maps associated with selected parameters. Since this is an initial exploration, further explorations on theoretical foundation and specific applications are essential to support applicable theory and the systematic expansion on medical applications for COVID-19 patients.