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Fig 1.

Geographical risk levels for the surveillance of bTB in wildlife in France from 2013 to 2015.

Low-risk level: white, Medium-risk level: orange; High-risk level: red. From left to right: (A) July 2013, (B) January 2014, (C) July 2014 and (D) January 2015.

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Fig 2.

Scenario tree illustrating the scanning surveillance system component based on carcass examination for hunted wild boar, red deer and roe deer (EC-SSC, applied in areas of all risk levels).

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Fig 3.

Scenario tree illustrating the surveillance system component for animals found dead, moribund or with abnormal behaviour (SAGIR-SSC, applied to each species and all risk levels).

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Fig 4.

Scenario tree illustrating the active surveillance system component for badger and wild boar in medium- and high-risk areas (PSURV-SSC).

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Table 1.

Proportion of juveniles and adults in the wildlife population according to species.

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Table 2.

Probability of infection in scenario trees according to species, age class and geographic risk.

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Table 3.

Probability of a wild infected animal displaying macroscopic TBLs, as a function of the species concerned and age class.

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Table 4.

Probability of a hunter detecting macroscopic TBLs, by species and awareness of the hunter (training and risk level).

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Table 5.

Probabilities of a dead or moribund wild animal being detected and collected by a field partner.

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Table 6.

Probability of TBLs being detected on an infected animal at the laboratory by qualified staff, by species and age class.

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Table 7.

Unit sensitivity (CSeU) for each SSC of the Sylvatub system, by species, age class, and geographic risk (percentage, mean [CI95%]).

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Table 8.

Component sensitivity (CSe) for each SSC of the Sylvatub system, by species, age class, geographic risk, for 100 animals processed by the SSC, by species and risk level (percentage, mean [CI95%]).

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Fig 5.

Sensitivity (CSe) of the EC-SSC for wild boar, red deer and roe deer, according to the hunting bags for the 2013–2014 hunting season and the proportion of trained hunters.

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