TABLE 2.
Monte Carlo simulation dose response input parameters for the target pathogens.
| Organism | Variables and distribution* | Dose response model (DRM) | DRM Background | References |
| Adenovirus | BC: β = 0.351; η = 41.458 (Weibull) IF%: 5.88 × 10–4 (Uniform) | Exponential k = 6.07 × 10–1 | M: Human Ex: Inhalation R: Infection | Couch et al., 1966 |
| E. coli (Enteroinvasive E. coli) | BC: μ = 3.102; σ = 1.070 (Normal) IF%: 0.005 to 0.10 (Uniform) | Beta-Poisson N50 = 2.11 × 106 α = 1.55 × 10–1 |
M: Human Ex: Ingestion R: Infection with positive stool isolation | Haas et al., 1999; Reyneke et al., 2020; Ryan et al., 2014 |
| L. monocytogenes | BC: μ = 2.253; σ = 0.902 (Lognormal) IF%: 1.00 (Point) | Exponential k = 1.18 × 10–10 | M: Human Ex: Ingestion R: Infection | Buchanan et al., 1997; Lyautey et al., 2007 |
| M. tuberculosis | BC: μ = −3.110; σ = 0.652 (Lognormal) IF%: 0.66 to 1.00 (Uniform) | Exponential k = 2.18 × 10–2 | M: Human Ex: Inhalation R: Infection | Jones et al., 2009 |
Bc, bacterial concentration; IF%, human infectious fraction of target organism; M, model; Ex, exposure; R, response. *For the QMRA analysis, the Minitab® 19 statistical software package was used to calculate the distribution of each target pathogens’ concentration based on the EMA-qPCR and conventional qPCR data (Figure 1).