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潜伏感染的再激活伴随着迁移,塑造了人群层面的疾病动态。

Reactivation of latent infections with migration shapes population-level disease dynamics.

机构信息

Department of Biology, Indiana University, Bloomington, IN, USA.

Center for the Ecology of Infectious Disease, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.

出版信息

Proc Biol Sci. 2020 Sep 30;287(1935):20201829. doi: 10.1098/rspb.2020.1829. Epub 2020 Sep 16.

Abstract

Annual migration is common across animal taxa and can dramatically shape the spatial and temporal patterns of infectious disease. Although migration can decrease infection prevalence in some contexts, these energetically costly long-distance movements can also have immunosuppressive effects that may interact with transmission processes in complex ways. Here, we develop a mechanistic model for the reactivation of latent infections driven by physiological changes or energetic costs associated with migration (i.e. 'migratory relapse') and its effects on disease dynamics. We determine conditions under which migratory relapse can amplify or reduce infection prevalence across pathogen and host traits (e.g. infectious periods, virulence, overwinter survival, timing of relapse) and transmission phenologies. We show that relapse at either the start or end of migration can dramatically increase prevalence across the annual cycle and may be crucial for maintaining pathogens with low transmissibility and short infectious periods in migratory populations. Conversely, relapse at the start of migration can reduce the prevalence of highly virulent pathogens by amplifying culling of infected hosts during costly migration, especially for highly transmissible pathogens and those transmitted during migration or the breeding season. Our study provides a mechanistic foundation for understanding the spatio-temporal patterns of relapsing infections in migratory hosts, with implications for zoonotic surveillance and understanding how infection patterns will respond to shifts in migratory propensity associated with environmental change. Further, our work suggests incorporating within-host processes into population-level models of pathogen transmission may be crucial for reconciling the range of migration-infection relationships observed across migratory species.

摘要

动物类群中普遍存在年度迁徙现象,这会显著影响传染病的时空模式。尽管迁徙可以在某些情况下降低感染率,但这些能量消耗巨大的长距离迁徙也可能产生免疫抑制作用,从而以复杂的方式与传播过程相互作用。在这里,我们针对由迁徙相关的生理变化或能量成本驱动的潜伏感染再激活(即“迁徙复发”)建立了一个机制模型,并探讨了其对疾病动态的影响。我们确定了在哪些条件下,迁徙复发可以放大或降低病原体和宿主特征(例如感染期、毒力、越冬存活率、复发时间)和传播物候之间的感染率。我们表明,在迁徙开始或结束时发生的复发可以在整个年度周期内显著增加感染率,这对于维持迁徙种群中传播性低和感染期短的病原体可能至关重要。相反,在迁徙开始时发生的复发可以通过在高成本迁徙期间放大对感染宿主的清除作用来降低高毒力病原体的流行率,尤其是对于高传染性病原体和在迁徙期间或繁殖季节传播的病原体。我们的研究为理解迁徙宿主中复发感染的时空模式提供了一个机制基础,这对人畜共患病监测以及了解感染模式如何应对与环境变化相关的迁徙倾向变化具有重要意义。此外,我们的工作表明,将宿主内过程纳入病原体传播的种群水平模型中对于协调在迁徙物种中观察到的一系列迁徙与感染关系可能至关重要。

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