Wisconsin Cooperative Wildlife Research Unit, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA.
Norwegian Veterinary Institute, Ås, Norway.
Proc Biol Sci. 2024 Feb 14;291(2016):20232568. doi: 10.1098/rspb.2023.2568. Epub 2024 Feb 7.
An important part of infectious disease management is predicting factors that influence disease outbreaks, such as , the number of secondary infections arising from an infected individual. Estimating is particularly challenging for environmentally transmitted pathogens given time lags between cases and subsequent infections. Here, we calculated for infections arising from anthrax carcass sites in Etosha National Park, Namibia. Combining host behavioural data, pathogen concentrations and simulation models, we show that is spatially and temporally variable, driven by spore concentrations at death, host visitation rates and early preference for foraging at infectious sites. While spores were detected up to a decade after death, most secondary infections occurred within 2 years. Transmission simulations under scenarios combining site infectiousness and host exposure risk under different environmental conditions led to dramatically different outbreak dynamics, from pathogen extinction ( < 1) to explosive outbreaks ( > 10). These transmission heterogeneities may explain variation in anthrax outbreak dynamics observed globally, and more generally, the critical importance of environmental variation underlying host-pathogen interactions. Notably, our approach allowed us to estimate the lethal dose of a highly virulent pathogen non-invasively from observational studies and epidemiological data, useful when experiments on wildlife are undesirable or impractical.
传染病管理的一个重要部分是预测影响疾病爆发的因素,例如,受感染者引发的二次感染数量。鉴于环境传播病原体的病例和随后感染之间存在时间滞后,估计 尤其具有挑战性。在这里,我们计算了纳米比亚埃托沙国家公园炭疽尸体地点引发的感染的 。结合宿主行为数据、病原体浓度和模拟模型,我们表明 是空间和时间变化的,由死亡时的孢子浓度、宿主访问率以及早期对感染地点觅食的偏好驱动。虽然在死亡后长达十年的时间里都检测到了孢子,但大多数二次感染发生在 2 年内。在不同环境条件下结合地点传染性和宿主暴露风险的情况下进行的传播模拟导致爆发动态发生了巨大变化,从病原体灭绝(<1)到爆发(>10)。这些传播异质性可能解释了全球观察到的炭疽爆发动态的变化,更普遍地解释了宿主-病原体相互作用中环境变化的关键重要性。值得注意的是,我们的方法允许我们从观察研究和流行病学数据中无创估计高毒力病原体的致死剂量,当对野生动物进行实验不理想或不切实际时,这非常有用。