Table 1.
Parameters |
Baseline values |
Explanation |
Sensitivity analysis |
Source |
||
---|---|---|---|---|---|---|
Distribution | Parameters | |||||
Model parameters | ||||||
λ |
|
Force of infection (per day), calculated using* |
|
|
|
|
1/r |
365 |
Mean duration of infection (days)
[6,16] |
N(μ,σ2) |
μ=365 |
σ2=752 |
Consensus |
p |
5.7% |
Prevalence at baseline
[11] |
Bin(n,p) |
n=2519 |
|
[11] |
α |
|
Effective testing rate (per day), calculated using† |
|
|
|
|
c |
22.2% |
Coverage of testing uptake (per year)
[11] |
Bin(n,p) |
n=2377 |
|
[11] |
δ |
8.0% |
Treatment failure
[17] |
U(a,b) |
a=0% |
b=50% |
Consensus |
f |
estimated |
Fraction of women becoming infected with chlamydia who will develop PID |
|
|
|
|
Input parameter | ||||||
x | 30.0% | Proportion of PID cases due to chlamydia in control group [11] | Bin(n,p) | n=23 | [11] |
*In the absence of the tria (α=0), to observe chlamydia prevalence p at steady state: .
†Reported uptake of chlamydia testing c during the follow-up period (outside of the trial) is reduced by the proportion with treatment failure δ, which results in the effective testing rate per day [18].
N(μ,σ2), normal distribution (mean, variance); Bin(n,p), binomial distribution (size, probability); U(a,b), uniform distribution (minimum, maximum).