Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA 16802, USA.
EcoHealth Alliance, 460 West 34th Street, New York, NY 10001, USA.
Viruses. 2011 Apr;3(4):379-397. doi: 10.3390/v3040379. Epub 2011 Apr 15.
The aim of this manuscript is to describe how modern advances in our knowledge of viruses and viral evolution can be applied to the fields of disease ecology and conservation. We review recent progress in virology and provide examples of how it is informing both empirical research in field ecology and applied conservation. We include a discussion of needed breakthroughs and ways to bridge communication gaps between the field and the lab. In an effort to foster this interdisciplinary effort, we have also included a table that lists the definitions of key terms. The importance of understanding the dynamics of zoonotic pathogens in their reservoir hosts is emphasized as a tool to both assess risk factors for spillover and to test hypotheses related to treatment and/or intervention strategies. In conclusion, we highlight the need for smart surveillance, viral discovery efforts and predictive modeling. A shift towards a predictive approach is necessary in today's globalized society because, as the 2009 H1N1 pandemic demonstrated, identification post-emergence is often too late to prevent global spread. Integrating molecular virology and ecological techniques will allow for earlier recognition of potentially dangerous pathogens, ideally before they jump from wildlife reservoirs into human or livestock populations and cause serious public health or conservation issues.
本文旨在描述如何将病毒学和病毒进化方面的现代进展应用于疾病生态学和保护学领域。我们回顾了病毒学的最新进展,并举例说明了它如何为现场生态学的实证研究和应用保护提供信息。我们还讨论了需要突破的方向以及如何弥合现场和实验室之间的沟通差距。为了促进这种跨学科的努力,我们还在表中列出了关键术语的定义。强调了解在其宿主中动物源性病原体动态的重要性,因为这是评估溢出风险因素以及测试与治疗和/或干预策略相关假设的工具。总之,我们强调需要进行智能监测、病毒发现工作和预测模型。在当今全球化的社会中,需要向预测方法转变,因为正如 2009 年 H1N1 大流行所表明的那样,在出现后进行识别往往为时已晚,无法阻止全球传播。整合分子病毒学和生态技术将使人们能够更早地识别潜在危险的病原体,理想情况下是在它们从野生动物宿主跳到人类或牲畜种群并导致严重的公共卫生或保护问题之前。