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New approaches to measuring anthelminthic drug efficacy : parasitological responses of childhood schistosome infections to treatment with praziquantel

机译:测定驱虫药效力的新方法:吡喹酮治疗儿童血吸虫感染的寄生虫学反应

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摘要

By 2020, the global health community aims to control and eliminate human helminthiases, including schistosomiasis in selected African countries, principally by preventive chemotherapy (PCT) through mass drug administration (MDA) of anthelminthics. Quantitative monitoring of anthelminthic responses is crucial for promptly detecting changes in efficacy, potentially indicative of emerging drug resistance. Statistical models offer a powerful means to delineate and compare efficacy among individuals, among groups of individuals and among populations.; We illustrate a variety of statistical frameworks that offer different levels of inference by analysing data from nine previous studies on egg counts collected from African children before and after administration of praziquantel.; We quantify responses to praziquantel as egg reduction rates (ERRs), using different frameworks to estimate ERRs among population strata, as average responses, and within strata, as individual responses. We compare our model-based average ERRs to corresponding model-free estimates, using as reference the World Health Organization (WHO) 90 % threshold of optimal efficacy. We estimate distributions of individual responses and summarize the variation among these responses as the fraction of ERRs falling below the WHO threshold.; Generic models for evaluating responses to anthelminthics deepen our understanding of variation among populations, sub-populations and individuals. We discuss the future application of statistical modelling approaches for monitoring and evaluation of PCT programmes targeting human helminthiases in the context of the WHO 2020 control and elimination goals.
机译:到2020年,全球卫生界的目标是控制和消除人类蠕虫病,包括在某些非洲国家的血吸虫病,主要是通过对驱虫药进行大规模药物管理(MDA)的预防性化疗(PCT)。驱虫药反应的定量监测对于迅速检测疗效变化(可能表明正在出现耐药性)至关重要。统计模型提供了一种强有力的手段来描述和比较个体之间,个体之间以及群体之间的功效。我们通过分析九项先前关于吡喹酮治疗前后从非洲儿童那里收集的卵子计数研究的数据,说明了各种统计框架,它们提供了不同程度的推论。我们使用不同的框架来估计人口各阶层之间的ERRs(平均响应)和阶层内部的ERRs(个体响应),从而将对吡喹酮的反应量化为减蛋率(ERR)。我们将世界卫生组织(WHO)90%最佳疗效阈值作为参考,将基于模型的平均ERRs与相应的无模型估计值进行比较。我们估计个体反应的分布,并总结出这些反应之间的差异,即ERR的比例低于WHO阈值。评估驱虫药反应的通用模型加深了我们对种群,亚种群和个体之间变异的理解。我们讨论了在WHO 2020年控制和消除目标的背景下,统计建模方法在监控和评估针对人类蠕虫病的PCT计划中的未来应用。

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