Skip to main content

Currently Skimming:

5 Collecting Human Trafficking Prevalence Data
Pages 35-44

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 35...
... The hotline operates 24 hours a day, and since 2007, has received reports on more than 50,000 trafficking victims, mostly in the United States. In 2018 alone, the hotline received information on more than 11,000 victims.
From page 36...
... As with other vulnerable populations, trafficking victims often come to the attention of health care providers through emergency departments like the one in which Stoklosa works as a physician. She gave a scenario in which a forced laborer comes to the emergency department, is treated for a work-related injury, identified as a trafficking victim, and provided support.
From page 37...
... HEAL has partnered with HHS on several initiatives that increase the capacity of health care providers to identify trafficking victims. These initiatives supplement some states' mandated trafficking training.
From page 38...
... A Method for Hidden Populations: Key Findings Michael Shively and Ryan Kling (Abt Associates) reported on a study funded by the National Institute of Justice that looked at the feasibility of collecting human trafficking prevalence data from vulnerable populations in such settings as homeless shelters, emergency departments, and correctional facilities.
From page 39...
... , and the justice system. Shively called these prior points of contact missed opportunities -- earlier instances when individuals could have been identified as trafficking victims if routine screening had been conducted and when they could have received support services.
From page 40...
... Silverman's team applied multiple systems estimation to data from the National Referral Mechanism -- a program run by the U.K.'s National Crime Agency that collects data on potential victims from many centralized sources. In the National Referral Mechanism's original design, duplicate cases from multiple data sources were removed; Silverman and his team requested that, for the purposes of conducting multiple systems estimation, duplicate cases be added back to the database so they could study the sources and the groupings.
From page 41...
... Johndrow said it is not always easy to apply multiple systems estimation to human trafficking or to other phenomena affecting socially vulnerable populations, such as conflict mortality. Recording differences and errors, confidentiality restrictions, and incomplete information can make it difficult to identify the same record across multiple administrative datasets.
From page 42...
... Vincent explained that link tracing seeks to illuminate and exploit potentially untapped social networks by selecting a subset of the population and asking them to nominate additional individuals for the study with whom they are directly linked. He said network sampling has the capacity to capture individuals who may be missed through traditional sampling designs (e.g., simple random or stratified sampling, systematic or cluster sampling)
From page 43...
... Vincent and his colleagues tested his method on existing datasets in both the United States and abroad, such as empirical datasets based on injection drug users and commercial sex workers, and found it to provide efficient estimates of population size.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.