Table 2. Estimated Effects From Bayesian Ordinal Regression Models for Funding Disbursed in the Concurrent Year (a0), for Funding Disbursed 1 Year Prior (a1), and for Funding Disbursed 2 Years Prior (a2) Across All Health Security Capacities .
Capacity | Concurrent Year (a 0 ) | 1-Year Lag (a 1 ) | 2-Year Lag (a 2 ) | |||
Estimate (95% CI) | p 0 | Estimate (95% CI) | p 0 | Estimate (95% CI) | p 0 | |
Legislation | -0.011 (-0.031, 0.002) | 0.061 | 0.029 (0.009, 0.056) | 0.999 | 0.019 (-0.016, 0.063) | 0.850 |
Coordination | -0.004 (-4.698, 4.371) | 0.498 | -0.004 (-4.244, 4.543) | 0.499 | -0.098 (-5.929, 3.568) | 0.470 |
AMR | 0.395 (-0.199, 1.039) | 0.902 | -0.128 (-0.964, 0.621) | 0.373 | -0.101 (-0.942, 0.726) | 0.402 |
Food safety | -0.363 (-2.160, 0.961) | 0.275 | -0.074 (-1.565, 1.671) | 0.453 | 0.512 (-0.444, 1.947) | 0.838 |
Biosafety | -0.036 (-0.601, 0.523) | 0.447 | 0.271 (-1.143, 1.925) | 0.659 | 0.082 (-1.698, 1.734) | 0.545 |
Zoonosis | 0.019 (0.001, 0.045) | 0.976 | -0.011 (-0.041, 0.014) | 0.209 | -0.0262 (-0.063, 0.005) | 0.056 |
Laboratory | -0.169 (-0.490, 0.140) | 0.149 | 0.618 (0.055, 1.219) | 0.983 | -0.409 (-0.763, -0.077) | 0.009 |
Surveillance | 0.020 (-0.021, 0.063) | 0.838 | -0.179 (-0.474, 0.032) | 0.056 | 0.008 (-0.417, 0.439) | 0.515 |
Workforce | 0.008 (-0.005, 0.021) | 0.880 | 0.019 (0.000, 0.038) | 0.976 | -0.026 (-0.062, 0.009) | 0.069 |
Preparedness | 0.012 (-0.005, 0.036) | 0.899 | 0.005 (-0.020, 0.029) | 0.663 | -0.018 (-0.042, 0.002) | 0.043 |
Emergency response | -0.395 (-1.556, 0.148) | 0.119 | -0.127 (-1.655, 1.338) | 0.429 | -0.693 (-2.940, -0.012) | 0.021 |
Risk communication | -0.079 (-0.220, 0.051) | 0.117 | 0.197 (-0.003, 0.417) | 0.973 | -0.077 (-0.187, 0.028) | 0.075 |
Overall | 0.000 (-0.013, 0.013) | 0.526 | 0.005 (-0.015, 0.025) | 0.681 | -0.003 (-0.013, 0.007) | 0.258 |
Abbreviation: AMR, antimicrobial resistance.
Estimates represent the median of the posterior samples for the corresponding coefficients and the posterior probability is the probability the distribution of the posterior samples is above 0.