Table 1. Summary of the input variables used to calculate the risk of LSDV being introduced in France through Stomoxys travelling inside trucks transporting live animals (cattle and horses).
Input variable | Data source | Min | Mode | Max | Variable | Distribution |
---|---|---|---|---|---|---|
Probability of importing cattle from an at-risk area that can become infected with LSDV before its detection | Combination of experimental data and expert opinion | 0.05 | 0.07 | 0.2 | P1 | RiskPert(0,05;0,07;0,2) |
Probability that trucks come from an infected farm located in the at-risk area | Expert opinion | 0.005 | 0.0075 | 0.01 | P2 | RiskPert(0,005;0,0075;0,01) |
Probability of a animal being infected without clinical signs in the farm | Field data and expert opinion The proportion of infected Stomoxys is assumed to be the same as the proportion of contagious cattle |
0.003 | 0.03 | 0.25 | P3 | RiskPert(0,003;0,03;0,25) |
Probability of the virus surviving in the Stomoxys | Combination of experimental data, expert opinion and Bayesian modelling | 0.0197 (3 days after the infective blood meal) |
- | 0.0525 (2 days fter the infective blood meal) |
P4 | RiskUniform(0,0197;0,0525) |
Probability of Stomoxys surviving during transport (2–3 days) | Combination of experimental data and expert opinion | 0.8 | - | 0.9 | P5 | RiskUniform(0,8;0,9) |
Probability that LSDV is transmitted at the destination in the event of a truck transporting cattle to a farm | Worst-case scenario | - | 1 | - | P6 | |
Probability that LSDV is transmitted at the destination in the event of a truck transporting cattle to a slaughterhouse* | Expert opinion | 0.001 | - | 0.01 | P7 | RiskUniform(0,001;0,01) |
Probability that LSDV is transmitted at the destination in the event of a truck transporting horses | Expert opinion | 0.001 | - | 0.01 | P8 | RiskUniform(0,001;0,01) |
Probability that horses come from a mixed farm (with cattle) or that a cattle farm is in the vicinity of the stables | Interbev [36] | 0 | 0.099 | 1 | P9 | RiskBeta(0;0,099;1) |
Probability that horses go to a mixed farm (with cattle) or that a cattle farm is in the vicinity of the stables | Interbev [36] | 0 | 0.099 | 1 | P10 | RiskBeta(0;0,099;1) |
Number of Stomoxys per cattle | Combination of experimental data and expert opinion | 0.1 | 3.9 | 22.22 | sb | RiskPert(0,1;3,9;22,22) |
Number of Stomoxys per horse | Combination of experimental data and expert opinion | 0.2 | 3.2 | 6 | sh | RiskPert(0,2;3,2;6) |
Number of batches of cattle transported yearly to cattle farms | TRACES | 3 | 7 | 11 | n1 | RiskPert(3;7;11) |
Number of batches of cattle transported yearly to slaughterhouses | Scenario | 3 | 7 | 11 | n2 | RiskPert(3;7;11) |
Number of batches of horses transported yearly | TRACES | 22 | 44 | 66 | n3 | RiskPert(22;44;66) |
Number of cattle transported yearly to cattle farms | TRACES | 90 | 182 | 270 | a1 | RiskPert(90;182;270) |
Number of cattle transported yearly to slaughterhouses | Scenario | 90 | 182 | 270 | a2 | RiskPert(90;182;270) |
Number of horses transported yearly | TRACES | 22 | 44 | 66 | a3 | RiskPert(22;44;66) |
Number of Stomoxys per cattle transported x Number of animals in the truck travelling to a cattle farm | Calculation | 3 | 101.4 | 545.4 | N1f | sb x (a1 / n1) |
Number of Stomoxys per cattle transported x Number of animals in the truck travelling to a cattle slaughterhouse | Calculation | 3 | 101.4 | 545.4 | N1a | sb x (a2 / n2) |
Number of Stomoxys per horse transported x Number of horses in the truck | Calculation | 0.2 | 3.2 | 6 | N1h | Sh x (a3 / n3) |
Prob: Probability; Min: Minimum; Max: Maximum;
*: No batches of animals for slaughterhouse coming from the at-risk area. In order to evaluate the potential impact of introducing batches of animals to be slaughtered, a scenario was developed using the same number of batches of cattle introduced on farms.