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Modelling applications for aquatic animal health

机译:水生动物健康的建模应用

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摘要

Prevention is essential in order to fight against disease propagation and their consequences, in particular because curative methods are less efficient in the open and marine environment. Modelling as a predictive tool is in this case particularly accurate. A bibliographic review of published models in aquatic health was made for the European project DIPNET. Quantitative risk assessment is made for some diseases of salmonids of north European countries, in order to protect transfers, to make risk-based surveillance, and to prevent from emerging diseases. Dynamic models have begun to be used for risk management, for salmonids and shellfish (USA) but are depending on their complexity, data- and time-consuming. Dynamic models are, however, necessary for evaluating the effects of measures predictively, with a complex system of causality. Classical rigorous epidemiologic studies are not numerous in aquatic health, however they are of particular interest for risk management of health problems. For aquatic animal health, there are few models that take into account spatial analysis, economic or ecologic consequences . This is surprising because of the strong well-known interactions between the host and environment in aquatic systems, and because of the interest for the risk manager. Modelling work needs multidisciplinary skills, which are sometimes difficult to share for aquatic productions.
机译:为了与疾病传播及其后果作斗争,预防是必不可少的,特别是因为在露天和海洋环境中,治疗方法的效率较低。在这种情况下,作为预测工具建模特别准确。欧洲项目DIPNET对水生健康已发表模型进行了书目审查。对北欧国家的某些鲑鱼类疾病进行了定量风险评估,以保护转移,进行基于风险的监测并预防新发疾病。动态模型已开始用于鲑鱼和贝类(美国)的风险管理,但要取决于它们的复杂性,数据和耗时。但是,动态模型对于使用复杂的因果关系系统来预测性地评估措施的效果是必需的。在水生健康方面,经典的严格的流行病学研究并不多,但对于健康问题的风险管理尤为重要。对于水生动物健康,很少有模型考虑空间分析,经济或生态后果。这是令人惊讶的,因为主机和水生系统中的环境之间存在着众所周知的强大相互作用,并且由于风险管理者的兴趣。建模工作需要多学科的技能,有时很难与水产品共享。

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