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Statistical Methods for Standard Membrane-Feeding Assays to Measure Transmission Blocking or Reducing Activity in Malaria

机译:用于测量疟疾传播阻滞或减少活性的标准膜喂养试验的统计方法

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摘要

Transmission blocking vaccines for malaria are not designed to directly protect vaccinated people from malaria disease, but to reduce the probability of infecting other people by interfering with the growth of the malaria parasite in mosquitoes. Standard membrane-feeding assays compare the growth of parasites in mosquitoes from a test sample (using antibodies from a vaccinated person) compared to a control sample. There is debate about whether to estimate the transmission reducing activity (TRA) which compares the mean number of parasites between test and control samples, or transmission blocking activity (TBA) which compares the proportion of infected mosquitoes. TBA appears biologically more important since each mosquito with any parasites is potentially infective; however, TBA is less reproducible and may be an overly strict criterion for screening vaccine candidates. Through a statistical model, we show that the TBA estimand depends on μc, the mean number of parasites in the control mosquitoes, a parameter not easily experimentally controlled. We develop a standardized TBA estimator based on the model and a given target value for μc which has better mean squared error than alternative methods. We discuss types of statistical inference needed for using these assays for vaccine development.
机译:预防疟疾的传播阻断疫苗并非旨在直接保护接种疫苗的人免于疟疾的感染,而是通过干扰蚊子中疟原虫的生长来降低感染他人的可能性。标准的膜喂养试验比较了来自测试样品(使用接种疫苗的人的抗体)与对照样品的蚊子中寄生虫的生长情况。关于是否估计比较测试样品和对照样品之间的平均寄生虫数量的减少传播活性(TRA)或比较感染的蚊子比例的传播阻断活性(TBA),存在争议。 TBA在生物学上似乎更为重要,因为每个带有任何寄生虫的蚊子都可能具有感染力。但是,TBA的再现性较差,可能是筛选候选疫苗的严格标准。通过统计模型,我们表明TBA估计值取决于μc,即控制蚊子中寄生虫的平均数量,该参数不容易通过实验控制。我们基于模型和给定的μc目标值,基于模型开发了标准化的TBA估算器,该方法的均方误差比其他方法更好。我们讨论了使用这些检测方法进行疫苗开发所需的统计推断类型

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