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Indirect methods to estimate hidden population.

Authors: Rocío, Lorenzo Ortega; Michela, Sonego; José, Pulido; Almudena, González Crespo; Eladio, Jiménez-Mejías; Luis, Sordo;

Indirect methods to estimate hidden population.

Abstract

Estimating the prevalence of the so-called “hidden populations” can be challenging, because the identification of its members is difficult due to their socially sanctionable or illegal behaviours. This article provides a critical review of the most widely used methods for estimating the size of a hard-to-reach population. All are indirect methods, based on incomplete data sources. Depending on the available data, one method can be more appropriate than another. Besides, each method must fulfil a number of requirements, and each one may be subject to specific risk of bias. To choose the most suitable method, an accurate evaluation of the available data is necessary, and. if possible several methods should be used simultaneously to be able to compare the results and to critically evaluate if these results fit with the reality.

Keywords

Spain, Social Stigma, Undocumented Immigrants, Prevalence, Social Marginalization, Humans, Epidemiologic Methods, Vulnerable Populations

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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