Surveillance system sensitivities and probability of freedom from Mycobacterium avium subsp. paratuberculosis infection in Swedish cattle.
Previous investigations suggest that the prevalence of Mycobacterium avium subsp. paratuberculosis (MAP) in Swedish cattle is low and all recent cases have been linked to imported animals. The aim of this study was to evaluate the surveillance system for MAP infection in Swedish cattle and to estimate the probability that the Swedish cattle population is free from this infection. Calculations of surveillance sensitivities and probability of freedom were made using stochastic scenario-tree modelling, which allows inclusion of information from several different sources, of complex surveillance data including results from non-representative sampling, as well as of documentations of differences in risk of being infected. The surveillance components included in the model were: (1) clinical surveillance, (2) fallen stock investigations, (3) the national surveillance programme (mainly beef herds), (4) a survey involving dairy herds and (5) a risk-based survey targeting herds with imported cattle. Previous or current presence of imported animals and participation in the on-going control programme was specified for each tested herd, in order to adjust for differences in risk. Calculations were made for each year from the start of 2005 to the end of 2008, and this formed the basis for a final estimate covering the whole study period and predictions of future probabilities of freedom from MAP. Results show that when applying a design prevalence of one animal in 0.1% of the herds, the probability of freedom at the end of 2008 was 0.63. At the design prevalence of one animal in 0.5% of herds, the estimated probability is >95% and it is demonstrated that the prevalence of MAP in Swedish cattle is below this level or absent. In order to increase the annual surveillance sensitivity in the future and thereby improve the probability of freedom, new surveillance activities or an intensification of current ones are needed.
Department of Disease Control and Epidemiology, National Veterinary Institute, SE-751 89 Uppsala, Sweden. jenny.frossling@sva.se
Jenny
J
Frössling
Helene
H
Wahlström
Estelle Carina Constance
EC
Agren
Angus
A
Cameron
Ann
A
Lindberg
Susanna
S
Sternberg Lewerin
D000822:Animal Husbandry / Q000379:methods*; D000818:Animals; D002417:Cattle; D003612:Dairying; D062665:Epidemiological Monitoring / Q000662:veterinary; D008962:Models, Theoretical; D016927:Mycobacterium avium subsp. paratuberculosis / Q000302:isolation & purification*; D010283:Paratuberculosis / Q000453:epidemiology* / Q000382:microbiology; D011159:Population Surveillance / Q000379:methods; D015995:Prevalence; D012621:Seasons; D012680:Sensitivity and Specificity; D013269:Stochastic Processes; D013548:Sweden / Q000453:epidemiology