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Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM

Respondent Driven Sampling study (RDS) is a population sampling method developed to study hard-to-reach populations. A sample is obtained by chain-referral recruitment in a network of contacts within the population of interest. Such self-selected samples are not representative of the target populati...

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Autores principales: Robineau, Olivier, Gomes, Marcelo F. C., Kendall, Carl, Kerr, Ligia, Périssé, André, Boëlle, Pierre-Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021777/
https://www.ncbi.nlm.nih.gov/pubmed/32060389
http://dx.doi.org/10.1038/s41598-020-59567-2
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author Robineau, Olivier
Gomes, Marcelo F. C.
Kendall, Carl
Kerr, Ligia
Périssé, André
Boëlle, Pierre-Yves
author_facet Robineau, Olivier
Gomes, Marcelo F. C.
Kendall, Carl
Kerr, Ligia
Périssé, André
Boëlle, Pierre-Yves
author_sort Robineau, Olivier
collection PubMed
description Respondent Driven Sampling study (RDS) is a population sampling method developed to study hard-to-reach populations. A sample is obtained by chain-referral recruitment in a network of contacts within the population of interest. Such self-selected samples are not representative of the target population and require weighing observations to reduce estimation bias. Recently, the Network Model-Assisted (NMA) method was described to compute the required weights. The NMA method relies on modeling the underlying contact network in the population where the RDS was conducted, in agreement with directly observable characteristics of the sample such as the number of contacts, but also with more difficult-to-measure characteristics such as homophily or differential characteristics according to the response variable. Here we investigated the use of the NMA method to estimate HIV prevalence from RDS data when information on homophily is limited. We show that an iterative procedure based on the NMA approach allows unbiased estimations even in the case of strong population homophily and differential activity and limits bias in case of preferential recruitment. We applied the methods to determine HIV prevalence in men having sex with men in Brazilian cities and confirmed a high prevalence of HIV in these populations from 3.8% to 22.1%.
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spelling pubmed-70217772020-02-24 Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM Robineau, Olivier Gomes, Marcelo F. C. Kendall, Carl Kerr, Ligia Périssé, André Boëlle, Pierre-Yves Sci Rep Article Respondent Driven Sampling study (RDS) is a population sampling method developed to study hard-to-reach populations. A sample is obtained by chain-referral recruitment in a network of contacts within the population of interest. Such self-selected samples are not representative of the target population and require weighing observations to reduce estimation bias. Recently, the Network Model-Assisted (NMA) method was described to compute the required weights. The NMA method relies on modeling the underlying contact network in the population where the RDS was conducted, in agreement with directly observable characteristics of the sample such as the number of contacts, but also with more difficult-to-measure characteristics such as homophily or differential characteristics according to the response variable. Here we investigated the use of the NMA method to estimate HIV prevalence from RDS data when information on homophily is limited. We show that an iterative procedure based on the NMA approach allows unbiased estimations even in the case of strong population homophily and differential activity and limits bias in case of preferential recruitment. We applied the methods to determine HIV prevalence in men having sex with men in Brazilian cities and confirmed a high prevalence of HIV in these populations from 3.8% to 22.1%. Nature Publishing Group UK 2020-02-14 /pmc/articles/PMC7021777/ /pubmed/32060389 http://dx.doi.org/10.1038/s41598-020-59567-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Robineau, Olivier
Gomes, Marcelo F. C.
Kendall, Carl
Kerr, Ligia
Périssé, André
Boëlle, Pierre-Yves
Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM
title Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM
title_full Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM
title_fullStr Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM
title_full_unstemmed Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM
title_short Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM
title_sort model-based respondent-driven sampling analysis for hiv prevalence in brazilian msm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021777/
https://www.ncbi.nlm.nih.gov/pubmed/32060389
http://dx.doi.org/10.1038/s41598-020-59567-2
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