关键词: hard-to-reach populations human trafficking network-based sampling prevalence estimation venue-based sampling

Mesh : HIV Infections / epidemiology Human Trafficking Humans Prevalence Public Health Research Design United States / epidemiology

来  源:   DOI:10.1177/00333549211044010   PDF(Pubmed)

Abstract:
Human trafficking has long-lasting implications for the well-being of trafficked people, families, and affected communities. Prevention and intervention efforts, however, have been stymied by a lack of information on the scale and scope of the problem. Because trafficked people are mostly hidden from view, traditional methods of establishing prevalence can be prohibitively expensive in the recruitment, participation, and retention of survey participants. Also, trafficked people are not randomly distributed in the general population. Researchers have therefore begun to apply methods previously used in public health research and other fields on hard-to-reach populations to measure the prevalence of human trafficking. In this topical review, we examine how these prevalence methods used for hard-to-reach populations can be used to measure the prevalence of human trafficking. These methods include network-based approaches, such as respondent-driven sampling and the network scale-up method, and venue-based methods. Respondent-driven sampling is useful, for example, when little information about the trafficked population has been produced and when an adequate sampling frame does not exist. The network scale-up method is unique in that it does not target the hidden population directly. The implications of our work internationally include the need for documenting and validating the various prevalence estimation methods in the United States in a more robust way than was done in existing efforts. In providing this roadmap for estimating the prevalence of human trafficking, our overarching goal is to promote the equitable treatment and overall well-being of the socially disadvantaged populations who disproportionately experience human trafficking.
摘要:
人口贩运对被贩运者的福祉具有长期影响,家庭,和受影响的社区。预防和干预努力,然而,由于缺乏关于问题规模和范围的信息而受阻。因为被贩运者大多隐藏在视线之外,建立流行率的传统方法在招聘中可能过于昂贵,参与,并保留调查参与者。此外,被贩运者不是随机分布在普通人群中。因此,研究人员已开始将以前在公共卫生研究和其他领域中使用的方法应用于难以接触的人群,以衡量人口贩运的患病率。在这篇专题评论中,我们研究了这些用于难以接触人群的流行率方法如何用于衡量人口贩运的流行率。这些方法包括基于网络的方法,如受访者驱动的抽样和网络放大方法,和基于地点的方法。受访者驱动的抽样很有用,例如,当有关被贩运人口的信息很少,并且没有足够的抽样框架时。网络放大方法的独特之处在于它不直接针对隐藏人群。我们在国际上的工作影响包括需要以一种比现有努力更有力的方式记录和验证美国的各种流行率估计方法。在提供估计人口贩运流行率的路线图时,我们的总体目标是促进不成比例地经历人口贩运的社会弱势群体的平等待遇和整体福祉。
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