Mathematical Modelling of Insecticide Resistance Management Strategies for the Control of Vector-Borne Diseases

随着新的杀虫剂和配方进入市场，有必要了解如何部署这些杀虫剂，以延长其使用寿命。该项目旨在开发一个灵活的数学模型，允许跟踪杀虫剂抗性强度和相应的生物测定存活率。这将通过数量遗传学方法来模拟蚊子种群的多基因抗性来实现。将进行模拟，以涵盖一系列情景，并比较不同杀虫剂抗性管理策略（包括序列、轮作、混合和镶嵌）之间的输出。然后，建模输出（通常是产生抗药性的时间，或在部署周期内的死亡率）可以用来描述不同杀虫剂抗药性管理策略在相互比较时的相对效益。

As new insecticides and formulations come to market, there is a need to understand how to deploy these insecticides in order to prolong their operational lifespan. This project aims to develop a flexible mathematical model allowing for the tracking of insecticide resistance intensity and the corresponding bioassay survival. This will be achieved using a quantitative genetics approach to model polygenic resistance in mosquito populations. Simulations will be conducted to cover a range of scenarios with outputs compared between different insecticide resistance management strategies, including sequences, rotations, mixtures, and mosaics. The modelling outputs (usually time until resistance, or mortality over the deployment cycle) can then used to describe the relative benefits of different insecticide resistance management strategies when compared against one another.