title: THE CHALLENGE OF DETECTING CLASSICAL SWINE FEVER VIRUS CIRCULATION IN WILD BOAR (SUS SCROFA): SIMULATION OF SAMPLING OPTIONS.
abstract: Classical swine fever (CSF) is one of the most important viral diseases of domestic pigs ( Sus scrofa domesticus) and wild boar ( Sus scrofa ). For at least 4 decades, several European Union member states were confronted with outbreaks among wild boar and, as it had been shown that infected wild boar populations can be a major cause of primary outbreaks in domestic pigs, strict control measures for both species were implemented. To guarantee early detection and to demonstrate freedom from disease, intensive surveillance is carried out based on a hunting bag sample. In this context, virologic investigations play a major role in the early detection of new introductions and in regions immunized with a conventional vaccine. The required financial resources and personnel for reliable testing are often large, and sufficient sample sizes to detect low virus prevalences are difficult to obtain. We conducted a simulation to model the possible impact of changes in sample size and sampling intervals on the probability of CSF virus detection based on a study area of 65 German hunting grounds. A 5-yr period with 4,652 virologic investigations was considered. Results suggest that low prevalences could not be detected with a justifiable effort. The simulation of increased sample sizes per sampling interval showed only a slightly better performance but would be unrealistic in practice, especially outside the main hunting season. Further studies on other approaches such as targeted or risk-based sampling for virus detection in connection with (marker) antibody surveillance are needed.
authors.affiliation: 1   Friedrich-Loeffler-Institut, Institute of Epidemiology, Südufer 10, 17493 Greifswald - Insel Riems, Germany.|3   Technical University of Denmark, National Veterinary Institute, Bülowsvej 27, Building 1-6, 1870 Frederiksberg C, Denmark.
authors.forename: Jana
authors.initials: J
authors.lastname: Sonnenburg
authors.affiliation: 1   Friedrich-Loeffler-Institut, Institute of Epidemiology, Südufer 10, 17493 Greifswald - Insel Riems, Germany.
authors.forename: Katja
authors.initials: K
authors.lastname: Schulz
authors.affiliation: 2   Friedrich-Loeffler-Institut, Institute of Diagnostic Virology, Südufer 10, 17493 Greifswald - Insel Riems, Germany.
authors.forename: Sandra
authors.initials: S
authors.lastname: Blome
authors.affiliation: 1   Friedrich-Loeffler-Institut, Institute of Epidemiology, Südufer 10, 17493 Greifswald - Insel Riems, Germany.
authors.forename: Christoph
authors.initials: C
authors.lastname: Staubach
mesh_terms: D000818:Animals; D006691:Classical Swine Fever; D006692:Classical Swine Fever Virus; D004196:Disease Outbreaks; D013048:Specimen Handling; D034421:Sus scrofa / Q000821:virology*; D013552:Swine
keywords: Classical swine fever; Sus scrofa; sample size; simulation study; surveillance; wild boar