Table B2.
Contamination | FM 1 | DF 2 | MT 3 | Total DALYs reduced/ | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
scenarios | Npuh,i 4 | Nsh,i 5 | NAh,i 6 | Npuh,i 4 | Nsh,i 5 | Nah,i 6 | Npuh,i 4 | Nsh,i 5 | Nah,i 6 | 100,000 population | |
S1 | AFB1/M1 | 1 | 7 | 1 | 11 | 33 | 3 | 38 | 114 | 38 | 0.03 |
Dioxins | 1 | 7 | 1 | 12 | 36 | 3 | 8 | 24 | 8 | ||
S2 | AFB1/M1 | 1 | 7 | 1 | 39 | 117 | 10 | 15 | 45 | 15 | 0.20 |
Dioxins | 1 | 7 | 1 | 16 | 48 | 4 | 8 | 24 | 8 | ||
S3 | AFB1/M1 | 4 | 28 | 4 | 36 | 108 | 9 | 8 | 24 | 8 | 0.42 |
Dioxins | 1 | 7 | 1 | 20 | 60 | 5 | 7 | 21 | 7 | ||
S4 | AFB1/M1 | 1 | 7 | 1 | 56 | 168 | 14 | 14 | 42 | 14 | 0.16 |
Dioxins | 1 | 7 | 1 | 20 | 60 | 5 | 11 | 33 | 11 | ||
S5 | AFB1/M1 | 1 | 7 | 1 | 32 | 96 | 8 | 8 | 24 | 8 | 0.36 |
Dioxins | 1 | 7 | 1 | 16 | 48 | 4 | 11 | 33 | 11 | ||
S6 | AFB1/M1 | 1 | 7 | 1 | 12 | 36 | 3 | 32 | 96 | 32 | 0.12 |
Dioxins | 1 | 7 | 1 | 8 | 24 | 2 | 6 | 18 | 6 | ||
S7 | AFB1/M1 | 3 | 21 | 1 | 32 | 96 | 8 | 9 | 27 | 9 | 0.32 |
Dioxins | 1 | 7 | 1 | 19 | 57 | 5 | 16 | 48 | 16 | ||
S8 | AFB1/M1 | 1 | 7 | 1 | 1 | 3 | 1 | 30 | 90 | 30 | 0.07 |
Dioxins | 1 | 7 | 1 | 12 | 36 | 3 | 8 | 24 | 6 | ||
S9 | AFB1/M1 | 1 | 7 | 1 | 48 | 144 | 12 | 14 | 42 | 14 | 0.26 |
Dioxins | 1 | 7 | 1 | 12 | 36 | 3 | 7 | 21 | 7 |
Expert opinion (personal communication).
Lascano‐Alcoser et al. (2013)
Optimal number of production units sampled at each control point for each chemical.
Optimal number of samples collected at each control point for each chemical.
Optimal number of analysis samples at each stage for each chemical.