Review of sampling hard-to-reach and hidden populations for HIV surveillance.

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Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling (2006, background): “To understand and control the spread of HIV, it is important to have accurate information about hidden populations such as injection drug users and sex workers.(1) However, these populations are difficult to study with standard sampling methods because sampling frames do not exist.”
Enriching qualitative research by engaging peer interviewers: a case study (2016, background): “In recognition of the social invisibility of some populations, researchers use a variety of techniques to reach out to these communities including, snowball, targeted and time-location sampling methods (Magnani et al., 2005; Matheson et al., 2014).”
SNOWBALL VERSUS RESPONDENT-DRIVEN SAMPLING (2011, background): “In an effort to avoid such confusion, a recent article (Magnani et al. 2005: S71) listed the different features of the methods.”