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. 2023 Jul 11;20(7):e1004252. doi: 10.1371/journal.pmed.1004252

Table 3. PRCCs quantifying the relationship between additional GDP growth in each vaccine scenario (relative to the “no-new-vaccine” counterfactual) and selected country characteristics.

Adolescent/adult vaccine Infant vaccine
Coefficient
(95% interval)
p-value Coefficient
(95% interval)
p-value
TB incidence rate per 100,000 0.79 (0.67, 0.91) <0.001 0.58 (0.42, 0.74) <0.001
HIV prevalence 0.00 (−0.20, 0.19) 0.99 −0.05 (−0.24, 0.15) 0.63
Year of vaccine introduction −0.57 (−0.73, −0.41) <0.001 −0.46 (−0.63, −0.29) <0.001
Per capita GDP (logged) −0.03 (−0.22, 0.17) 0.77 0.10 (−0.09, 0.30) 0.31
Savings rate (s) 0.02 (−0.18, 0.21) 0.84 0.25 (0.06, 0.44) 0.01
Growth rate of total factor productivity (g) 0.13 (−0.06, 0.33) 0.18 0.15 (−0.04, 0.35) 0.11
Growth rate of educational capital (h) 0.11 (−0.08, 0.31) 0.26 0.05 (−0.15, 0.24) 0.64
Output elasticity of physical capital (α) −0.27 (−0.46, −0.08) 0.01 −0.29 (−0.48, −0.10) 0.01
Depreciation rate (δ) 0.03 (−0.17, 0.22) 0.79 −0.11 (−0.31, 0.08) 0.25

Note: For each country, the outcome represents the mean percentage increase in GDP for a given vaccination scenario relative to the “no-new-vaccine” counterfactual, cumulated over the 2028–2080 period. PRCCs quantify the direction and strength of the monotonic relationship between this outcome and each country characteristic, controlling for the effect of other characteristics.

GDP, gross domestic product; PRCC; partial rank correlation coefficient; TB, tuberculosis.