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Table 1 Parameters for the transmission model

From: The predicted impact of tuberculosis preventive therapy: the importance of disease progression assumptions

Parameter

Parameter Source

Model

1

2

3

a, proportion progressing directly to disease

A

0.0665

B

0.085*

b, proportion entering fast latent state

A

0.086

B

0.09

c, rate of progression to disease from slow latent state (per year)

A

5.94 × 10−4

5.94 × 10− 4

3.37 × 10− 3

B

2.01 × 10− 3

2.01 × 10− 3

3.11 × 10− 3*

k, rate of progression to disease from fast latent state (per year)

A

0.0826

0.955

B

0.4015

4.015

e, rate of movement from fast latent state to slow latent state (per year)

A

0.872

B

4.015

q, relative susceptibility to re-infection compared to first infection

0.5 (To explore the role of re-infection in between model differences we also simulated the model with no re-infection, q = 0)

τ, rate of recovery from TB disease (per year)

1 (assumes that the average duration of disease is approximately 1 year)

β, number of effective contacts (per year)

Varied to produce different TB incidence

m, rate of TB associated mortality

0.03

w, relative risk of progressing to disease following preventive therapy

0.4 (In the primary analysis, we assume preventive therapy has an efficacy of 60% against disease progression from prior infection. We explored the impact of varying w on the results).

  1. Parameter set A is taken form Menzies et al. [17], parameter set B is taken from Ragonnet et al. [16]. *These parameters are not reported in Ragonnet et al. [16] so have been estimated by fitting the models to data extracted from figure S14 in [16] – full details are given in the appendix. Parameters in Ragonnet et al. [16] are reported in daily units and have been converted to annual units. “-“indicates the parameter is not used in a given model