Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Zoonoses Public Health. 2013 Feb;60(1):2-21. doi: 10.1111/zph.12000. Epub 2012 Sep 7.
Bats are hosts to a range of zoonotic and potentially zoonotic pathogens. Human activities that increase exposure to bats will likely increase the opportunity for infections to spill over in the future. Ecological drivers of pathogen spillover and emergence in novel hosts, including humans, involve a complex mixture of processes, and understanding these complexities may aid in predicting spillover. In particular, only once the pathogen and host ecologies are known can the impacts of anthropogenic changes be fully appreciated. Cross-disciplinary approaches are required to understand how host and pathogen ecology interact. Bats differ from other sylvatic disease reservoirs because of their unique and diverse lifestyles, including their ability to fly, often highly gregarious social structures, long lifespans and low fecundity rates. We highlight how these traits may affect infection dynamics and how both host and pathogen traits may interact to affect infection dynamics. We identify key questions relating to the ecology of infectious diseases in bats and propose that a combination of field and laboratory studies are needed to create data-driven mechanistic models to elucidate those aspects of bat ecology that are most critical to the dynamics of emerging bat viruses. If commonalities can be found, then predicting the dynamics of newly emerging diseases may be possible. This modelling approach will be particularly important in scenarios when population surveillance data are unavailable and when it is unclear which aspects of host ecology are driving infection dynamics.
蝙蝠是多种人畜共患病原体和潜在人畜共患病原体的宿主。人类活动增加了与蝙蝠接触的机会,这可能会增加未来感染溢出的机会。在新宿主(包括人类)中,病原体溢出和出现的生态驱动因素涉及一系列复杂的过程,了解这些复杂性可能有助于预测溢出。特别是,只有当了解病原体和宿主的生态时,才能充分认识人为变化的影响。需要跨学科的方法来理解宿主和病原体生态如何相互作用。蝙蝠与其他森林疾病储存宿主不同,因为它们具有独特而多样的生活方式,包括飞行能力、通常高度群居的社会结构、较长的寿命和较低的繁殖率。我们强调了这些特征如何影响感染动态,以及宿主和病原体特征如何相互作用影响感染动态。我们确定了与蝙蝠传染病生态学相关的关键问题,并提出需要结合野外和实验室研究,创建基于数据的机制模型,以阐明对新兴蝙蝠病毒动态最关键的蝙蝠生态学方面。如果能够找到共同点,那么预测新出现疾病的动态就成为可能。在无法获得种群监测数据且不清楚宿主生态学的哪些方面驱动感染动态的情况下,这种建模方法将特别重要。