由于野生动物感染对生物保护构成的主要威胁,传染病生态学最近已将其公众形象提升到科学界之外,动物福利,人类健康和粮食安全。当我们开始全面揭示新出现的传染病时,迫切需要促进这一领域的多学科研究。尽管生态学研究一直有很强的理论成分,文化和技术障碍往往会阻碍理论家和经验家之间的直接合作。基于我们在这一领域多学科研究和教学的集体经验,我们提出了实用的指导方针,以帮助数学建模之间的有效整合,实地考察和实验室工作。建模工具可用于实地研究计划的所有步骤,从工作假设的制定到实地研究设计和数据分析。我们通过对野生动植物传染病进行的两个案例研究来说明我们的模型指导的野外工作框架:草原犬鼠的鼠疫传播以及美国和非洲蝙蝠的病毒传播。这些证明了机械模型,如果适当地纳入研究计划,可以为复杂生物系统的整体方法提供一个框架。
Infectious disease ecology has recently raised its public profile beyond the scientific community due to the major threats that wildlife infections pose to biological conservation, animal welfare, human health and food security. As we start unravelling the full extent of emerging infectious diseases, there is an urgent need to facilitate multidisciplinary research in this area. Even though research in ecology has always had a strong theoretical component, cultural and technical hurdles often hamper direct collaboration between theoreticians and empiricists. Building upon our collective experience of multidisciplinary research and teaching in this area, we propose practical
guidelines to help with effective integration among mathematical modelling, fieldwork and laboratory work. Modelling tools can be used at all steps of a field-based research programme, from the formulation of working hypotheses to field study design and data analysis. We illustrate our model-guided fieldwork framework with two case studies we have been conducting on wildlife infectious diseases: plague transmission in prairie dogs and lyssavirus dynamics in American and African bats. These demonstrate that mechanistic models, if properly integrated in research programmes, can provide a framework for holistic approaches to complex biological systems.