A minimal 3D model of mosquito flight behaviour around the human baited bed net.

A minimal 3D model of mosquito flight behaviour around the human baited bed net.
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DOI:
10.1186/s12936-020-03546-5
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发表时间:
2021-01-07
期刊:
影响因子:
3
通讯作者:
McCall PJ
McCall PJ
中科院分区:
医学3区
文献类型:
--
作者:
Jones J;Murray GPD;McCall PJ

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数字化视频跟踪和行为分析的进步使蚊子飞行和寻找宿主行为的准确记录和量化成为可能,促进了在比以前更精细的空间尺度上发展基于个体(agent)的模型。量化的行为参数被用来创建一个新的虚拟测试模型,能够准确地模拟一个虚拟的寻找宿主的蚊子种群的室内飞行行为,因为它们与人类使用的蚊帐的模拟刺激相互作用并作出反应。描述了该模型,包括基础蚊子行为,状态转换,环境表征和宿主刺激表征。在没有蚊帐和人类宿主诱饵的情况下,整个竞技场模型种群的飞行分布相对均匀。引入未经处理的无饵蚊帐后,其分布发生了变化,落在蚊帐表面的事件增加,主要是在蚊帐的侧面。模拟人饵的存在极大地影响了飞行分布模式、探索性觅食以及网上着陆位置的数量和分布,而这些主要是由人在网内的方向决定的。该模型复制了在人类居住的蚊帐中自由飞行的活蚊子的实验结果,其中接触主要发生在蚊帐的顶部表面。这种准确性很重要,因为它量化了暴露于致命杀虫剂残留物的程度,这可能是网顶(或理论上任何其他表面)所特有的。净接触数和接触高度随引诱剂扩散噪声的增大而减小。该模型产生的结果准确地反映了在未经处理和经过杀虫剂处理的蚊帐中,在有人使用的蚊帐内和周围记录的实际蚊子行为。这种细粒度模型具有高度灵活性,在新型蚊帐设计的计算机筛选方面具有巨大潜力,有可能减少时间和成本,并加速部署新的和更有效的工具,以防止撒哈拉以南非洲的疟疾。
Advances in digitized video-tracking and behavioural analysis have enabled accurate recording and quantification of mosquito flight and host-seeking behaviours, facilitating development of individual (agent) based models at much finer spatial scales than previously possible. Quantified behavioural parameters were used to create a novel virtual testing model, capable of accurately simulating indoor flight behaviour by a virtual population of host-seeking mosquitoes as they interact with and respond to simulated stimuli from a human-occupied bed net. The model is described, including base mosquito behaviour, state transitions, environmental representation and host stimulus representation. In the absence of a bed net and human host bait, flight distribution of the model population was relatively uniform throughout the arena. Introducing an unbaited untreated bed net induced a change in distribution with an increase in landing events on the net surface, predominantly on the sides of the net. Adding the presence of a simulated human bait dramatically impacted flight distribution patterns, exploratory foraging and, the number and distribution of landing positions on the net, which were determined largely by the orientation of the human within. The model replicates experimental results with free-flying living mosquitoes at human-occupied bed nets, where contact occurs predominantly on the top surface of the net. This accuracy is important as it quantifies exposure to the lethal insecticide residues that may be unique to the net roof (or theoretically any other surface). Number of net contacts and height of contacts decreased with increasing attractant dispersal noise. Results generated by the model are an accurate representation of actual mosquito behaviour recorded at and around a human-occupied bed net in untreated and insecticide-treated nets. This fine-grained model is highly flexible and has significant potential for in silico screening of novel bed net designs, potentially reducing time and cost and accelerating the deployment of new and more effective tools for protecting against malaria in sub-Saharan Africa.
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