论文标题
网络雪球抽样的估计：防止大流行
Estimation for network snowball sampling: Preventing pandemics
论文作者
论文摘要
雪球设计是网络采样设计中最自然的设计。它们具有许多理想的属性，用于取样隐藏和难以到达的人群。近年来，它们的使用量不足，因为基于简单的基于设计的估计器和置信区间尚未为他们提供。本文提供了所需的估计方法。需要使用雪球采样方法和准确的估计器来取样暴露于新的冠状病毒爆发产生的动物的人，并采样暴露于它们的动物种群。需要进行准确的估计来评估干预措施的有效性，以降低暴露于动物的人的风险。这样，就可以降低重大暴发和大流行的频率。在性和阿片类网络的研究中，需要雪球设计，艾滋病毒可以爆炸性地传播，以便可以开发，准确评估并有效地分布预防干预方法。
Snowball designs are the most natural of the network sampling designs. They have many desirable properties for sampling hidden and hard-to reach populations. They have been under-used in recent years because simple design-based estimators and confidence intervals have not been available for them. The needed estimation methods are supplied in this paper. Snowball sampling methods and accurate estimators with them are needed for sampling of the people exposed to the animals from which new coronavirus outbreaks originate, and to sample the animal populations to which they are exposed. Accurate estimates are needed to evaluate the effectiveness of interventions to reduce the risk to the people exposed to the animals. In this way the frequencies of major outbreaks and pandemics can be reduced. Snowball designs are needed in studies of sexual and opioid networks through which HIV can spread explosively, so that prevention intervention methods can be developed, accurately assessed, and effectively distributed.
