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Uncovering mechanisms behind mosquito seasonality by integrating mathematical models and daily empirical population data: Culex pipiens in the UK

机译:通过整合数学模型和每日经验种群数据揭示蚊子季节性背后的机制:英国的淡色库蚊

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摘要

BackgroundMany mosquito-borne diseases exhibit substantial seasonality, due to strong links between environmental variables and vector and pathogen life-cycles. Further, a range of density-dependent and density-independent biotic and abiotic processes affect the phenology of mosquito populations, with potentially large knock-on effects for vector dynamics and disease transmission. Whilst it is understood that density-independent and density-dependent processes affect seasonal population levels, it is not clear how these interact temporally to shape the population peaks and troughs. Due to this, the paucity of high-resolution data for validation, and the difficulty of parameterizing density-dependent processes, models of vector dynamics may poorly estimate abundances, which has knock-on effects for our ability predict vector-borne disease outbreaks.
机译:背景由于环境变量与病媒和病原体生命周期之间的紧密联系,许多蚊媒疾病表现出明显的季节性。此外,一系列与密度有关和与密度无关的生物和非生物过程会影响蚊子的物候,对媒介动力学和疾病传播具有潜在的巨大连锁效应。虽然可以理解,密度独立和密度依赖的过程会影响季节性人口水平,但尚不清楚它们如何在时间上相互作用以形成人口的高峰和低谷。因此,缺乏用于验证的高分辨率数据,以及难以对依赖于密度的过程进行参数化,媒介动力学模型可能无法很好地估计丰度,这对我们预测媒介传播的疾病暴发的能力产生了连锁反应。

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