Table 1.
Description | Functional Form | Parameters | Details of Parameterizatio |
---|---|---|---|
Infected survival function, s(x) |
logit[s(x)] = b0,0 + b1,0x |
b0,0 = 11.824 b1,0 = −0.8605 |
Logistic Regression |
Uninfected survival prob- ability, s0 |
Constant | s0 = 1 | Briggs et al. 2005 |
Growth function, G (x′, x) | μ(x, T) = b0,1 + b1,1x + b2,1T σ2 (x) = ν0,1 exp (2c0,1x) |
b0,1 = 0.012 b1,1 = 0.799 b2,1 = 0.092 ν0,1 = 5.92 c0,1 = −0.049 |
Generalized Least Squares |
Loss of infection function, l(x) |
logit[l(x, T)] = b0,2 + b1,2x + b2,2T |
b0,2 = 1.213 b1,2 = −0.472 b2,2 = −0.151 |
Logistic Regression |
Initial infection burden function, G0(x′) |
μ(T) = b0,3 + b1,3T σ2(T) = ν0,3 exp(2c0,3T) |
b0,3 = 0.642 b1,3 = 0.137 ν0,3 = 0.59 c0,3 = 0.063 |
Generalized Least Squares |
Transmission function, ϕ | logit[ϕ(T)] = b0,4 + b1,4T |
b0,4 = −1.66 b1,4 = 0.102 |
Logistic Regression |