Vitek Christopher J, Richards Stephanie L, Robinson Heather L, Smartt Chelsea T
Department of Biology, University of Texas Pan American, Edinburg, TX 78539, USA.
J Am Mosq Control Assoc. 2009 Sep;25(3):374-8. doi: 10.2987/09-5860.1.
Vigilant surveillance of virus prevalence in mosquitoes is essential for risk assessment and outbreak prediction. Accurate virus detection methods are essential for arbovirus surveillance. We have developed a model to estimate the probability of accurately detecting a virus-positive mosquito from pooled field collections using standard molecular techniques. We discuss several factors influencing the probability of virus detection, including the number of virions in the sample, the total sample volume, and the portion of the sample volume that is being tested. Our model determines the probability of obtaining at least 1 virion in the sample that is tested. The model also determines the optimal sample volume that is required in any test to ensure a desired probability of virus detection is achieved, and can be used to support the accuracy of current tests or to optimize existing techniques.
对蚊子中病毒流行情况进行 vigilant 监测对于风险评估和疫情预测至关重要。准确的病毒检测方法对于虫媒病毒监测至关重要。我们开发了一个模型，用于估计使用标准分子技术从野外采集的混合样本中准确检测出病毒阳性蚊子的概率。我们讨论了影响病毒检测概率的几个因素，包括样本中的病毒粒子数量、总样本体积以及被检测的样本体积部分。我们的模型确定在被检测样本中获得至少 1 个病毒粒子的概率。该模型还确定在任何测试中为确保达到所需的病毒检测概率所需的最佳样本体积，并且可用于支持当前测试的准确性或优化现有技术。
