Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Ecol Lett. 2012 Oct;15(10):1083-94. doi: 10.1111/j.1461-0248.2012.01836.x. Epub 2012 Jul 19.
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.
传染病生态学最近因其对生物多样性保护、动物福利、人类健康和粮食安全造成的重大威胁而在科学界以外引起了广泛关注。随着我们开始揭示新出现的传染病的全部范围,迫切需要促进这一领域的跨学科研究。尽管生态学研究一直具有很强的理论成分,但文化和技术障碍常常阻碍理论家和经验主义者之间的直接合作。我们根据在该领域进行的跨学科研究和教学的集体经验,提出了实用的指导方针,以帮助数学建模、实地工作和实验室工作之间的有效整合。建模工具可用于基于实地的研究计划的所有步骤,从制定工作假设到实地研究设计和数据分析。我们用我们一直在进行的两个野生动物传染病案例研究来说明我们的模型引导的实地工作框架:草原犬鼠中的鼠疫传播和美洲和非洲蝙蝠中的狂犬病毒动态。这些案例研究表明,如果将机械模型正确地整合到研究计划中,它们可以为复杂生物系统的整体方法提供框架。