CXCL10 and COVID-19: , systemic HG, and ASV039 (Corynebacterium matruchotii) and, along with CXCL10/IP-10, these five nodes represent 59.1% of the total predictive capacity in submodel y1 in classifying whether a patient has been diagnosed with COVID-19 at an accuracy of 99.5% (Figs. S7 and S8).