Rivière Julie, Le Strat Yann, Dufour Barbara, Hendrikx Pascal
Research unit EpiMAI USC Anses (Epidemiology of Animal Infectious Disease), Alfort National Veterinary School, Maisons-Alfort, France.
Department of Infectious Diseases, French Institute for Public Health Surveillance, Saint-Maurice, France.
PLoS One. 2015 Oct 30;10(10):e0141884. doi: 10.1371/journal.pone.0141884. eCollection 2015.
Bovine tuberculosis (bTB) is a common disease in cattle and wildlife, with an impact on animal and human health, and economic implications. Infected wild animals have been detected in some European countries, and bTB reservoirs in wildlife have been identified, potentially hindering the eradication of bTB from cattle populations. However, the surveillance of bTB in wildlife involves several practical difficulties and is not currently covered by EU legislation. We report here the first assessment of the sensitivity of the bTB surveillance system for free-ranging wildlife launched in France in 2011 (the Sylvatub system), based on scenario tree modelling. Three surveillance system components were identified: (i) passive scanning surveillance for hunted wild boar, red deer and roe deer, based on carcass examination, (ii) passive surveillance on animals found dead, moribund or with abnormal behaviour, for wild boar, red deer, roe deer and badger and (iii) active surveillance for wild boar and badger. The application of these three surveillance system components depends on the geographic risk of bTB infection in wildlife, which in turn depends on the prevalence of bTB in cattle. We estimated the effectiveness of the three components of the Sylvatub surveillance system quantitatively, for each species separately. Active surveillance and passive scanning surveillance by carcass examination were the approaches most likely to detect at least one infected animal in a population with a given design prevalence, regardless of the local risk level and species considered. The awareness of hunters, which depends on their training and the geographic risk, was found to affect surveillance sensitivity. The results obtained are relevant for hunters and veterinary authorities wishing to determine the actual efficacy of wildlife bTB surveillance as a function of geographic area and species, and could provide support for decision-making processes concerning the enhancement of surveillance strategies.
牛结核病(bTB)是牛和野生动物中的一种常见疾病,对动物和人类健康有影响,并具有经济影响。在一些欧洲国家已检测到受感染的野生动物,并且已确定野生动物中的牛结核病储存库,这可能会阻碍牛群中牛结核病的根除。然而,野生动物中牛结核病的监测存在一些实际困难,目前欧盟立法并未涵盖。我们在此报告基于情景树模型对2011年在法国启动的针对自由放养野生动物的牛结核病监测系统(Sylvatub系统)敏感性的首次评估。确定了监测系统的三个组成部分:(i)基于尸体检查对被猎杀的野猪、马鹿和狍进行被动扫描监测,(ii)对发现死亡、濒死或行为异常的野猪、马鹿、狍和獾进行被动监测,以及(iii)对野猪和獾进行主动监测。这三个监测系统组成部分的应用取决于野生动物中牛结核病感染的地理风险,而这又取决于牛群中牛结核病的流行率。我们分别对每个物种定量估计了Sylvatub监测系统三个组成部分的有效性。无论当地风险水平和所考虑的物种如何,通过尸体检查进行的主动监测和被动扫描监测是在具有给定设计流行率的种群中最有可能检测到至少一只受感染动物的方法。发现猎人的意识(这取决于他们的培训和地理风险)会影响监测敏感性。所获得的结果对于希望根据地理区域和物种确定野生动物牛结核病监测实际效果的猎人和兽医当局具有参考价值,并可为有关加强监测策略的决策过程提供支持。