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. 2018 Jun 11;13(6):e0198506. doi: 10.1371/journal.pone.0198506

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.