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影响野猪疾病传播的地理空间和生态因素综述:口蹄疫传播模型的考量因素

A review of geospatial and ecological factors affecting disease spread in wild pigs: considerations for models of foot-and-mouth disease spread.

作者信息

Cowled Brendan, Garner Graeme

机构信息

Office of the Chief Veterinary Officer, Department of Agriculture, Fisheries and Forestry, GPO Box 858, Canberra 2601, Australia.

出版信息

Prev Vet Med. 2008 Nov 17;87(3-4):197-212. doi: 10.1016/j.prevetmed.2008.03.012. Epub 2008 May 27.

Abstract

Around the world, wild boar or feral pigs are infected by a range of infectious organisms with important, productivity, public health or economic consequences. Consequently, the potential role of wild pigs in outbreaks of important exotic diseases, like foot-and-mouth disease (FMD), has been a significant consideration in many countries. Disease modelling is one means to study the epidemiology of disease and has been used to assess the potential role of wild pigs in FMD incursions. Many of these models have been strategic in nature. They have contributed to a broad understanding of disease control in wild pigs (e.g. the concept of threshold densities and the need to cull pigs below this density for disease fadeout to occur), but have not incorporated many of the key drivers affecting disease behaviour. Some of these drivers include important ecological, behavioural and geospatial relationships, such as interaction between different host species and the distribution, density and connectivity of pig populations. New approaches to modelling disease spread such as spatial simulation models use spatial data and explicitly incorporate geospatial relationships. These approaches can provide useful quantitative models that can be used to explore mitigation strategies under specific disease outbreak conditions. However, to date, most studies have been limited by inadequate data, and computational issues or have not explored mitigation strategies. To inform management strategies for emergency epidemics such as FMD in wild pigs, there is scope to further develop and use models to explore a range of incursion scenarios and investigate the efficacy of different mitigation strategies.

摘要

在全球范围内,野猪或家猪感染了一系列具有重要生产力、公共卫生或经济影响的传染性病原体。因此,野猪在诸如口蹄疫(FMD)等重要外来疾病暴发中的潜在作用,在许多国家一直是一个重要的考量因素。疾病建模是研究疾病流行病学的一种手段,已被用于评估野猪在口蹄疫传入中的潜在作用。这些模型中的许多本质上是战略性的。它们有助于广泛理解野猪疾病控制(例如阈值密度的概念以及为使疾病消退而需要在该密度以下扑杀猪的必要性),但并未纳入许多影响疾病行为的关键驱动因素。其中一些驱动因素包括重要的生态、行为和地理空间关系,例如不同宿主物种之间的相互作用以及猪群的分布、密度和连通性。诸如空间模拟模型等疾病传播建模的新方法使用空间数据并明确纳入地理空间关系。这些方法可以提供有用的定量模型,可用于探索特定疾病暴发情况下的缓解策略。然而,迄今为止,大多数研究受到数据不足、计算问题的限制,或者尚未探索缓解策略。为了为野猪口蹄疫等紧急疫情的管理策略提供信息,有进一步开发和使用模型的空间,以探索一系列传入情景并研究不同缓解策略的效果。

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