Beck-Johnson Lindsay M, Nelson William A, Paaijmans Krijn P, Read Andrew F, Thomas Matthew B, Bjørnstad Ottar N
Department of Biology , Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park , PA, USA.
Department of Biology , Queen's University , Kingston, Ontario, Canada.
R Soc Open Sci. 2017 Mar 8;4(3):160969. doi: 10.1098/rsos.160969. eCollection 2017 Mar.
Temperature is a key environmental driver of mosquito population dynamics; understanding its central role is important for these malaria vectors. Mosquito population responses to temperature fluctuations, though important across the life history, are poorly understood at a population level. We used stage-structured, temperature-dependent delay-differential equations to conduct a detailed exploration of the impacts of diurnal and annual temperature fluctuations on mosquito population dynamics. The model allows exploration of temperature-driven temporal changes in adult age structure, giving insights into the population's capacity to vector malaria parasites. Because of temperature-dependent shifts in age structure, the abundance of potentially infectious mosquitoes varies temporally, and does not necessarily mirror the dynamics of the total adult population. In addition to conducting the first comprehensive theoretical exploration of fluctuating temperatures on mosquito population dynamics, we analysed observed temperatures at four locations in Africa covering a range of environmental conditions. We found both temperature and precipitation are needed to explain the observed malaria season in these locations, enhancing our understanding of the drivers of malaria seasonality and how temporal disease risk may shift in response to temperature changes. This approach, tracking both mosquito abundance and age structure, may be a powerful tool for understanding current and future malaria risk.
温度是蚊子种群动态的关键环境驱动因素;了解其核心作用对于这些疟疾媒介至关重要。蚊子种群对温度波动的反应,尽管在整个生命历程中都很重要,但在种群水平上却知之甚少。我们使用阶段结构、温度依赖的延迟微分方程,详细探讨了昼夜和年度温度波动对蚊子种群动态的影响。该模型能够探究温度驱动的成虫年龄结构的时间变化,从而深入了解种群传播疟原虫的能力。由于年龄结构随温度变化,潜在感染性蚊子的数量会随时间变化,不一定反映成年蚊子总数的动态。除了首次对温度波动对蚊子种群动态进行全面的理论探索外,我们还分析了非洲四个涵盖一系列环境条件地点的观测温度。我们发现温度和降水都需要用来解释这些地点观察到的疟疾季节,这增强了我们对疟疾季节性驱动因素以及疾病风险如何随温度变化而发生时间变化的理解。这种追踪蚊子数量和年龄结构的方法,可能是了解当前和未来疟疾风险的有力工具。