To assess whether these 22 ISGs can be used as biomarkers for diagnosing ZIKV infection, a least absolute shrinkage and selection operator (LASSO) logistic regression model was employed for screening (Figures 4C, D), which ultimately identified 11 genes (i.e., IRF7, IFIT3, IFI35, IFI44, IFIH1, IFI27, IFITM1, TNFSF10, RSAD2, OAS3, and EPSTI1) as potential diagnostic biomarkers for ZIKV infection. The gene discussed is IFI44; the disease is Zika virus infectious disease.