Maxwell Institute for Mathematical Sciences and Department of Mathematics, Heriot-Watt University, Edinburgh, EH14 4AS, UK. x.o'
Maxwell Institute for Mathematical Sciences and Department of Mathematics, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Bull Math Biol. 2023 Mar 9;85(4):30. doi: 10.1007/s11538-023-01133-8.
Tick-borne diseases are an increasing global public health concern due to an expanding geographical range and increase in abundance of tick-borne infectious agents. A potential explanation for the rising impact of tick-borne diseases is an increase in tick abundance which may be linked to an increase in density of the hosts on which they feed. In this study, we develop a model framework to understand the link between host density, tick demography and tick-borne pathogen epidemiology. Our model links the development of specific tick stages to the specific hosts on which they feed. We show that host community composition and host density have an impact on tick population dynamics and that this has a consequent impact on host and tick epidemiological dynamics. A key result is that our model framework can exhibit variation in host infection prevalence for a fixed density of one host type due to changes in density of other host types that support different tick life stages. Our findings suggest that host community composition may play a crucial role in explaining the variation in prevalence of tick-borne infections in hosts observed in the field.
蜱传疾病是一个日益严重的全球公共卫生问题,这是由于蜱传传染病原体的地理分布范围扩大和丰度增加所致。蜱传疾病影响上升的一个潜在解释是蜱的丰度增加,这可能与它们所寄生的宿主密度增加有关。在本研究中,我们开发了一个模型框架,以了解宿主密度、蜱的种群动态和蜱传病原体流行病学之间的联系。我们的模型将特定蜱阶段的发育与它们所寄生的特定宿主联系起来。我们表明,宿主群落组成和宿主密度会影响蜱的种群动态,这会对宿主和蜱的流行病学动态产生相应的影响。一个关键的结果是,由于支持不同蜱生活阶段的其他宿主类型的密度变化,我们的模型框架可以在固定的一种宿主密度下表现出宿主感染率的变化。我们的研究结果表明,宿主群落组成可能在解释野外观察到的宿主中蜱传感染流行率的变化方面起着至关重要的作用。