A new approach to outbreak management for bovine Cystic Echinococcosis cases in hypo-endemic areas.

Cystic Echinococcosis (CE) surveillance in Italy is based on detection of its larval stage (hydatic cysts) at the slaughterhouse. In northern Italy, a hypo-endemic area, local health authorities investigate each individual farm with positive animals to treat their dogs with cestocidal drugs, but this system is time-consuming and poorly effective for bovine farms. The study applied a new approach based on targeted epidemiological surveys in areas with aggregation of bovine CE cases, and compared the outcome with that of two control areas with farms individually investigated. The presence of territorial cluster of bovine farms with CE cases was investigated for 3 consecutive years (2013-2014-2015) in a high-risk area of Veneto Region (north-eastern Italy), using a spatial scan statistic. Epidemiological investigations, consisting of a questionnaire survey and canine faecal samples collection, were conducted in cluster and control areas. All faecal samples were analyzed for taeniids eggs and positive samples were sequenced and identified. In total, 99 farms were surveyed and 208 faecal samples were retrieved from dogs. Sixty-two farms (42 bovine and 20 sheep) were investigated in cluster areas and 37 farms (33 bovine and 4 sheep) in control areas. Based on the results of the cestode egg isolation procedure, 14 animals (6.7%) were positive to taeniid eggs. For molecular analysis, two dogs resulted positive to Echinococcus granulosus, and seven to Taenia hydatigena. Twelve positive dogs were found in targeted survey areas and ten of these dogs were shepherd dogs, belonging to transhumant sheep flocks known to pass in cluster areas. The new approach demonstrated to successfully identify the probable source of infection of CE positive bovines. Most of positive dogs belonged to transhumant flocks, underlining the importance to include shepherd dogs in the surveillance system for CE.

Sylvatic rabies epidemic in Italy: implementation of a data management system to assess the level of application of preventive dog vaccination.

After 20 years of absence, rabies re-emerged in wild animals in north-eastern Italy in October 2008. Besides measures undertaken to fight the spread of infection in wildlife, vaccination against rabies was made compulsory for dogs living in the risk area. In the last 15 years, the veterinary authorities have focused on implementing computerized data collection systems in animal health, to serve as working tools for epidemiological surveillance activities and emergencies management. The prerequisite for implementing any data collection system is knowledge of the animal population. This also applies to the Canine Registry Data Bank, in which data on dogs and their movements, together with personal data on each owner and keeper, have been stored since 2003. The management information system has been updated and specific functions have been integrated in order to support the activity of both the veterinary services and the veterinary practitioners involved in the dog vaccination program. Vaccination became voluntary in February 2013. This paper describes implementation of the software and organization of data gathering, highlighting the benefits of computerized data compared to previously used paper-based data collection systems. The new functions, designed to centralize collection of uniform, updated vaccination data, have led to more efficient organization and better control of the vaccination plan. Automated information processing allowed vaccination operations to be supervised, incurred costs to be calculated, and vaccination coverage of the dog population to be monitored during the 3 years of compulsory vaccination.