Supplemental tables
Table 7.1: Probability of permanent disability from Guillain-Barré Syndrome by age.
Table 7.2: Utility of mild febrile illness in a transfusion recipient by age, based on influenza in hospitalized patients.
Table 7.3: Additional parameters related to congenital Zika syndrome.
Table 7.4: True- and False-positive donations interdicted under each policy.
Table 7.5: Significant linear regression coefficients for input variables as predictors of cost from meta-modeling analysis for Puerto Rico.
Table 7.6: Significant linear regression coefficients for input variables as predictors of cost from meta-modeling analysis for the 50 states.
Table 7.7: Significant linear regression coefficients for input variables as predictors of QALYs from meta-modeling analysis for Puerto Rico.
Table 7.8: Linear regression coefficients for input variables as predictors of QALYs from meta-modeling analysis for the 50 states.
Table 7.9: Linear regression coefficients for input variables as predictors of CER from meta-modeling analysis for Puerto Rico.
Table 7.10: Linear regression coefficients for input variables as predictors of CER from meta-modeling analysis for the 50 states.
Table 7.11: Linear regression coefficients for input variables as predictors of ICER from meta-modeling analysis for Puerto Rico.
Table 7.12: Linear regression coefficients for input variables as predictors of ICER from meta-modeling analysis for the 50 states.
Table 7.13: Characteristics of simulated recipients experiencing transfusion-transmission of Zika as compared to other recipients in the 50 states.
Table 7.14: Primary base-case results assuming IgM-positive donations are not infectious.
Table 7.15: Testing base-case results assuming IgM-positive donations are not infectious.
Table 7.16: Impact inventory for cost-effectiveness analyses.