Evaluation of the Salmonella surveillance program in Belgian pig farms

• Published in: Preventive veterinary medicine Vol. 105; no. 4; pp. 309 - 314
• Main Authors: Méroc, Estelle, Strubbe, Marieke, Vangroenweghe, Frédéric, Czaplicki, Guy, Vermeersch, Katie, Hooyberghs, Jozef, Van der Stede, Yves
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.08.2012
• Subjects: Animal Husbandry; Animals; Antibodies, Bacterial - blood; Belgium - epidemiology; Disease surveillance; Kaplan-Meier Estimate; Pig; Population Surveillance - methods; Program Evaluation; Risk Assessment - methods; Risk Factors; Salmonella; Salmonella - immunology; Salmonella Infections, Animal - blood; Salmonella Infections, Animal - epidemiology; Serology; Swine; Swine Diseases - blood; Swine Diseases - epidemiology; Time Factors; Belgium; Disease surveillance; Salmonella; Serology; Pig
• ISSN: 0167-5877; 1873-1716
• DOI: 10.1016/j.prevetmed.2012.03.006

Since July 2007, Belgium has implemented a national surveillance and control program for Salmonella in pigs. Pig farms are designated as Salmonella high risk farms based on serological profiles and are obliged to subsequently take part in a Salmonella specific action plan (SSAP). The SSAP was evaluated and potential risk factors for the persistence of Salmonella on the farm were investigated. First, the Kaplan–Meier method was used in order to study the period during which a farm maintains a Salmonella high risk status. Farms recovered more slowly from their high risk status before the SSAP was implemented compared to after the program was implemented (p<0.001). However, results showed that 29% of the farms were withdrawn from the program possibly only because of sampling error. The program should thus be adapted to accommodate for this. Secondly, the influence of several risk factors (type of farm, season of entrance into the SSAP, size of farm and farm density of the municipality) on the time to withdrawal from the high risk status was evaluated using univariable methods and a Cox multiple regression model for survival data. A statistically significant association was identified between the type of farm and the time to withdrawal from the high risk status. At any point in time after the onset of the SSAP, withdrawals from the high risk status occurred at a 39% and 28% higher rate in mixed (p=0.01) and fattening farms (p=0.05), respectively, compared to closed farms. The risk attributed to closed pig farms is related to the presence of sows in this particular type of structure, which underlines the importance of implementing control measures in this category of animals.