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Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte

“Hidden populations” are difficult to identify because they have stigmatizing or illegal characteristics. For that reason, determining their size or prevalence in certain contexts is complicated. In those populations, traditional or direct methods, as population surveys, do not usually serve for thi...

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Detalles Bibliográficos
Autores principales: Lorenzo-Ortega, Rocío, Pulido, José, Martínez-Santos, Ana, Ruiz-Pérez, Isabel, Hoyos, Juan, Sordo, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ministerio de Sanidad, Consumo y Bienestar social 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308831/
https://www.ncbi.nlm.nih.gov/pubmed/31290485
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author Lorenzo-Ortega, Rocío
Pulido, José
Martínez-Santos, Ana
Ruiz-Pérez, Isabel
Hoyos, Juan
Sordo, Luis
author_facet Lorenzo-Ortega, Rocío
Pulido, José
Martínez-Santos, Ana
Ruiz-Pérez, Isabel
Hoyos, Juan
Sordo, Luis
author_sort Lorenzo-Ortega, Rocío
collection PubMed
description “Hidden populations” are difficult to identify because they have stigmatizing or illegal characteristics. For that reason, determining their size or prevalence in certain contexts is complicated. In those populations, traditional or direct methods, as population surveys, do not usually serve for this purpose, but indirect methods, based on incomplete data sources, can be useful. This work completes the original article published in Revista Española de Salud Pública in 2017: “Indirect methods to estimate hidden populations”. Different methods are exposed, showing their indications and bias. To make an estimation as real as possible it is necessary to evaluate carefully the data available and analyze the risk of bias.
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spelling pubmed-103088312023-10-07 Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte Lorenzo-Ortega, Rocío Pulido, José Martínez-Santos, Ana Ruiz-Pérez, Isabel Hoyos, Juan Sordo, Luis Rev Esp Salud Publica Colaboraciones Especiales “Hidden populations” are difficult to identify because they have stigmatizing or illegal characteristics. For that reason, determining their size or prevalence in certain contexts is complicated. In those populations, traditional or direct methods, as population surveys, do not usually serve for this purpose, but indirect methods, based on incomplete data sources, can be useful. This work completes the original article published in Revista Española de Salud Pública in 2017: “Indirect methods to estimate hidden populations”. Different methods are exposed, showing their indications and bias. To make an estimation as real as possible it is necessary to evaluate carefully the data available and analyze the risk of bias. Ministerio de Sanidad, Consumo y Bienestar social 2019-07-10 /pmc/articles/PMC10308831/ /pubmed/31290485 Text en https://creativecommons.org/licenses/by-nc-nd/3.0/Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons
spellingShingle Colaboraciones Especiales
Lorenzo-Ortega, Rocío
Pulido, José
Martínez-Santos, Ana
Ruiz-Pérez, Isabel
Hoyos, Juan
Sordo, Luis
Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte
title Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte
title_full Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte
title_fullStr Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte
title_full_unstemmed Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte
title_short Métodos indirectos para la estimación de poblaciones ocultas: Segunda parte
title_sort métodos indirectos para la estimación de poblaciones ocultas: segunda parte
topic Colaboraciones Especiales
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308831/
https://www.ncbi.nlm.nih.gov/pubmed/31290485
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