Eisinger Dirk, Thulke Hans-Hermann
UFZ-Helmholtz Centre for Environmental Research UFZ, Department of Ecological Modelling (OESA) Permoserstr. 15, 04318 Leipzig, Germany.
J Appl Ecol. 2008 Apr 1;45(2):415-423. doi: 10.1111/j.1365-2664.2007.01439.x.
Control of animal-born diseases is a major challenge faced by applied ecologists and public health managers. To improve cost-effectiveness, the effort required to control such pathogens needs to be predicted as accurately as possible. In this context, we reviewed the anti-rabies vaccination schemes applied around the world during the past 25 years.We contrasted predictions from classic approaches based on theoretical population ecology (which governs rabies control to date) with a newly developed individual-based model. Our spatially explicit approach allowed for the reproduction of pattern formation emerging from a pathogen's spread through its host population.We suggest that a much lower management effort could eliminate the disease than that currently in operation. This is supported by empirical evidence from historic field data. Adapting control measures to the new prediction would save one-third of resources in future control programmes.The reason for the lower prediction is the spatial structure formed by spreading infections in spatially arranged host populations. It is not the result of technical differences between models.Synthesis and applications. For diseases predominantly transmitted by neighbourhood interaction, our findings suggest that the emergence of spatial structures facilitates eradication. This may have substantial implications for the cost-effectiveness of existing disease management schemes, and suggests that when planning management strategies consideration must be given to methods that reflect the spatial nature of the pathogen-host system.
控制动物源性疾病是应用生态学家和公共卫生管理人员面临的一项重大挑战。为了提高成本效益,需要尽可能准确地预测控制此类病原体所需的努力。在此背景下,我们回顾了过去25年全球范围内应用的抗狂犬病疫苗接种计划。我们将基于理论种群生态学的经典方法(迄今为止一直用于狂犬病控制)的预测与新开发的个体模型进行了对比。我们的空间明确方法能够再现病原体在其宿主种群中传播所产生的模式形成。我们认为,与目前正在实施的措施相比,只需付出低得多的管理努力就能消除该疾病。这得到了历史实地数据的经验证据的支持。使控制措施适应新的预测将在未来的控制计划中节省三分之一的资源。预测较低的原因是在空间排列的宿主种群中传播感染形成的空间结构,而不是模型之间技术差异的结果。综合与应用。对于主要通过邻里间相互作用传播的疾病,我们的研究结果表明空间结构的出现有利于根除疾病。这可能对现有疾病管理计划的成本效益产生重大影响,并表明在规划管理策略时必须考虑反映病原体-宿主系统空间性质的方法。