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A combined experimental-computational approach for spatial protection efficacy assessment of controlled release devices against mosquitoes (Anopheles)

机译:结合实验-计算方法评估控释装置对蚊子(按蚊)的空间保护功效

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Author summary Spatial Repellents (SRs) represent another tool to fight vector-borne diseases, such as malaria and dengue. Newly developed active ingredients were designed to repel or kill vectors in space, creating a shield effect, unlike topical repellents, such as DEET, that rely on vectors to be near or in physical contact with protected target. Metofluthrin and transfluthrin are examples of active ingredients (AIs) designed as SRs against mosquitoes. The efficacy of SRs heavily depends on the delivery method. Currently, there is a lack of fundamental understanding of effectiveness of SR delivery methods. Current delivery modalities of SR do not rely on quantitative models to estimate targeted efficacy, making the end-user overshoot or undershoot the dosage required for protection. Optimizing the dosage over time is critical to obtain protection for a given space in a giving period of time, as well to prevent AI resistance in the long run. The key is therefore to deliver just enough dosage needed to repel or kill the vectors. The presented work provides a novel approach to predict performance of SRs based on an experimental-computational methodology to quantify effectiveness of controlled release devices as a function of AI physical properties (e.g. volatility), device design parameters combined with physical variables, and environmental conditions (e.g. temperature, wind velocity). This work therefore provides the groundwork for estimating quantitative effectiveness of SR delivery methods against mosquitoes.
机译:作者摘要空间驱避剂(SR)代表了另一种抗击媒介传播疾病(如疟疾和登革热)的工具。新开发的活性成分被设计用来排斥或杀死太空中的载体,从而产生屏蔽效果,这与局部驱避剂(如DEET)不同,后者依靠载体接近或与受保护目标物理接触。 Metofluthrin和Transfluthrin是被设计为针对蚊子的SR的活性成分(AI)的示例。 SR的功效在很大程度上取决于递送方法。当前,对SR递送方法的有效性缺乏基本的了解。 SR的当前递送方式不依赖于定量模型来估计目标疗效,从而使最终用户超出或低于保护所需的剂量。在一段时间内优化剂量对于在给定的时间内获得给定空间的保护以及从长远来看防止AI抵抗至关重要。因此,关键是要提供足够的剂量来排斥或杀死载体。提出的工作基于实验计算方法提供了一种新颖的方法来预测SR的性能,以量化控释设备的有效性,这些功能是AI物理特性(例如挥发性),结合物理变量的设备设计参数和环境条件的函数(例如温度,风速)。因此,这项工作为估算SR递送方法对蚊子的定量有效性提供了基础。

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