Table 3. Summarized parameters used in the model and their statistical descriptions.

Summarized parameters	Statistics (90% CI)	Distributions used	Uncertainty/variability
Total quantity of daily milk sales in urban Kampala	148.9 t (109.7–200.0)	Bootstrap simulation	Variability
Milk infection rate in Mbarara	0.115 (0.039–0.206)	Bayesian inference with non informative prior (1,1) and Binomial likelihood distribution adjusted with sensitivity and specificity of IELISA	Uncertainty
Milk infection rate in Nakasongola	0.250 (0.050–0.508)	Bayesian inference with non informative prior (1,1) and Binomial likelihood distribution adjusted with sensitivity and specificity of IELISA	Uncertainty
Milk infection rate in urban farms	0.075 (0.010–0.166)	Simulated total quantity of infected milk/simulated total milk production, using bootstrap and Binomial distribution	Uncertainty + variability (milk quantity)
Milk infection rate in peri-urban farms	0.253 (0.086–0.426)	Sum of total quantities of infected milk produced by small and large scale farms/sum of total milk productions by small and large scale farms, using bootstrap and Binomial distribution	Uncertainty + variability (milk quantity)
Boiling practice	Probabilities in each type of milk sellers were used	Beta distribution and point estimates	Uncertainty
Annual average/rainy season rainfall ratio in Mbarara	0.564 (0.457–0.694)	Bootstrap simulation of 7 years data (1999–2005)	Variability
Annual average/rainy season rainfall ratio in Namulonge	0.730 (0.596–0.880)	Bootstrap simulation of 7 years data (1999–2005)	Variability
Human brucellosis incidence	1009 (929–1082)	Beta distribution, Binomial distribution using adjusted prevalence with sensitivity and specificity of test, bootstrap	Uncertainty

As the model is complex, all the individual parameters were presented in the Annex.