Table IV.
Summary of the models for the possible consequences of BSE in sheep.
Author(s) |
Aims |
Modelling approach |
Conclusions |
Ferguson et al. [20] |
Estimate the human health risk from possible BSE infection in the GB sheep flock |
-
Deterministic age-structured SI model for within-flock spread
-
Deterministic SIRS model for spread between flocks
-
Deterministic model for transmission to human population
|
-
Public health risk from ovine BSE are likely to be greater than from cattle
-
Risk could be reduced through additional restrictions on sheep products entering the food chain
-
Upper bound for vCJD cases increases to 150 000 when worst-case ovine BSE scenario included in predictions
|
Fryer et al. [25] |
Assess the impact of different control strategies to protect public health from exposure to BSE in sheep |
-
Age- and genotype-structured within-farm model used to estimate the exposure of humans to infectivity from BSE-infected sheep entering the food chain
-
Assumes constant number (4) of BSE-affected flocks in GB
|
-
If BSE were present in the GB national flock, the exposure to consumers from a single infected sheep would be high
-
Annual exposure from four BSE-affected flocks could be considerable
-
Small reductions in exposure can be achieved by strategies based on tissue testing, a 12-month age restriction or expanded definitions of high-risk tissues
-
A 6-month age restriction is more effective
-
Genotype-based restrictions are most effective
|
Kao et al. [51] |
Estimate the possible size of a BSE epidemic in British sheep |
|
-
Feed-borne epidemic peaked in 1990 with between 10 and 1 500 infected sheep
-
In 2001, at most 20 clinical cases of BSE would be expected
-
If horizontal transmission occurs, it could cause a large epidemic
|
Kao et al. [52] |
Assess the impact of ARR/ARR sheep being susceptible to BSE |
|
-
Predictions for size of feed-borne epidemic not affected if ARR/ARR animals can become infected
-
Selective breeding for ARR/ARR should control a BSE epidemic, but there are scenarios consistent with the data in which control fails
|