Central to the development of rational trade policies pertaining to blueton
gue virus (BTV) infection is determination of the risk posed by ruminants p
reviously exposed to the virus. Precise determination of the maximal durati
on of infectious viremia is essential to the development of an appropriate
quarantine period prior to movement of animals from BTV-endemic to BTV-free
regions. The objective of this study was to predict the duration of detect
able viremia in BTV-infected cattle using a probabilistic modeling analysis
of existing data. Data on the duration of detectable viremia in cattle wer
e obtained from previously published studies. Data sets were created from a
large field study of naturally infected cattle in Australia and from exper
imental infections of cattle with Australian and US serotypes of BTV Probab
ility distributions were fitted to the pooled empirical data, and the 3 pro
bability distributions that provided the best fit to the data were the gamm
a, Weibull, and lognormal probability distributions. These asymmetric proba
bility distributions are often well suited for decay processes, such as the
time to termination of detectable viremia. The analyses indicated a > 99%
probability of detectable BTV viremia ceasing after less than or equal to 9
weeks of infection in adult cattle and after a slightly longer interval in
BTV infected, colostrum-deprived newborn calves.