Disease dynamics across complex agricultural networks

在具有经济价值的动物种群中暴发具有重要的社会、环境和经济代价。马被加拿大省级和联邦农业机构视为牲畜，马产业每年为加拿大经济贡献超过190亿美元。面对农业动物种群（包括马）爆发的应急管理和准备非常重要。然而，马产业在这一领域落后于其他农业商品集团。马匹的流动为传染病的传入和传播创造了机会，马产业已经采纳了一些生物安全建议。然而，这些建议是基于有限的经验数据。这一关键的信息差距阻碍了我们对现有的流行病可能性进行彻底的风险评估，并为循证生物安保政策提供信息。历史证明，将马匹从不同地点聚集在一起的事件有可能传播疾病传播事件。系统应用网络科学和流行病学建模作为工具，为决策提供信息，在不确定性是一个有用的方法，在马种群的传染病风险管理。该研究计划的主要目标是研究马的网络结构和人类行为相互作用影响马生物安全成功的假设。 通过网络对疾病传播进行建模提出了许多理论和应用挑战，需要进一步研究。具体来说，我们将1）收集经验网络数据，2）将网络数据纳入流行病模型，3）考虑疾病-行为相互作用。这一提议代表了理解疾病动态在复杂网络中演变的重要一步。网络流行病模型的性质往往是违反直觉的，微小的变化可能会对模型的结果产生巨大的影响。在这些情况下，直觉可能是一个非常糟糕的决策指南。收集数据以更好地支持我们对网络结构和人类行为如何相互作用以影响病原体在马混合场所传播的机会的理解，这是加拿大兽医研究的重要下一步。拟议的研究是一个重要的步骤，以建立在目前的生物安全标准文件的马部门，制定基于证据的建议，将支持加拿大马行业准备应急准备计划，并允许更及时的应急反应在加拿大农业部门。

Outbreaks in economically valuable animal populations have important social, environmental and economic costs. Horses are considered livestock by both provincial and federal agriculture agencies in Canada and the equine industry contributes over 19 billion dollars annually to the Canadian economy. Emergency management and preparedness in the face of outbreaks in agricultural animal populations (including horses) is of significant importance. Yet, the equine industry has lagged behind other agricultural commodity groups in this area. The movement of horses creates opportunities for the introduction and spread of infectious diseases and the equine industry has adopted a number of biosecurity recommendations. However, these recommendations are based on limited empirical data. This critical information gap hinders our ability to perform thorough risk assessments of the epidemic potential that exists, and inform evidence-based biosecurity policies. History has demonstrated that events that bring horses together from different locations have the potential to propagate disease spread events. The systematic application of network science and epidemiological modeling as tools for informing decision-making under uncertainty is a useful approach for the management of infectious disease risks in the equine population. The over-arching goal of this program of research is to examine the hypothesis that equine network structure and human behaviour interact to influence the success of equine biosecurity. Modeling disease transmission across a network presents a number of theoretical and applied challenges that warrant further study. Specifically we will, 1) collect empirical network data, 2) incorporate network data into epidemic models, and 3) consider disease-behaviour interactions. This proposal represents an important step forward for understanding disease dynamics as they evolve across complex networks. The properties of network epidemic models are often counterintuitive and small changes can have a dramatic impact on the model outcomes. In these cases, intuition can be a very poor guide for decision-making. Collecting data to better support our understanding of how network structure and human behaviour interact to influence opportunities for pathogens to be spread at equine co-mingling sites represents an important next step for veterinary research in Canada. The proposed research represents an important step to build upon the current biosecurity standards documents for the Equine Sector, develop evidence-based recommendations that will support the Canadian equine industry in preparing emergency preparedness plans, and allow more timely emergency response within the Canadian agricultural sector.