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Modeling Disease Vector Occurrence When Detection Is Imperfect II: Drivers of Site-Occupancy by Synanthropic Triatoma brasiliensis in the Brazilian Northeast

机译:当检测不完善时对疾病矢量的发生进行建模II:巴西东北部的巴西合生性三角藻(Triatoma brasiliensis)定居点的驱动因素

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摘要

BackgroundUnderstanding the drivers of habitat selection by insect disease vectors is instrumental to the design and operation of rational control-surveillance systems. One pervasive yet often overlooked drawback of vector studies is that detection failures result in some sites being misclassified as uninfested; naïve infestation indices are therefore biased, and this can confound our view of vector habitat preferences. Here, we present an initial attempt at applying methods that explicitly account for imperfect detection to investigate the ecology of Chagas disease vectors in man-made environments.
机译:背景技术了解昆虫病媒选择栖息地的动因有助于合理控制监视系统的设计和运行。媒介研究的一个普遍但经常被忽视的缺点是检测失败导致某些站点被误分类为未感染。因此,幼稚的侵扰指数是有偏见的,这会使我们对媒介生境偏好的看法产生混淆。在这里,我们提出了一种最初的尝试,即应用明确说明不完善检测的方法来研究人造环境中南美锥虫病媒介的生态。

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