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Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study

OBJECTIVES: Behavioral interventions are effective strategies for HIV/AIDS prevention and control. However, implementation of such strategies relies heavily on the accurate estimation of the high-risk population size. The multiplier method and generalized network scale-up method were recommended to...

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Autores principales: Jing, Liwei, Qu, Chengyi, Yu, Hongmei, Wang, Tong, Cui, Yuehua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995743/
https://www.ncbi.nlm.nih.gov/pubmed/24755549
http://dx.doi.org/10.1371/journal.pone.0095601
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author Jing, Liwei
Qu, Chengyi
Yu, Hongmei
Wang, Tong
Cui, Yuehua
author_facet Jing, Liwei
Qu, Chengyi
Yu, Hongmei
Wang, Tong
Cui, Yuehua
author_sort Jing, Liwei
collection PubMed
description OBJECTIVES: Behavioral interventions are effective strategies for HIV/AIDS prevention and control. However, implementation of such strategies relies heavily on the accurate estimation of the high-risk population size. The multiplier method and generalized network scale-up method were recommended to estimate the population size of those at high risk for HIV by UNAIDS/WHO in 2003 and 2010, respectively. This study aims to assess and compare the two methods for estimating the size of populations at high risk for HIV, and to provide practical guidelines and suggestions for implementing the two methods. METHODS: Studies of the multiplier method used to estimate the population prevalence of men who have sex with men in China published between July 1, 2003 and July 1, 2013 were reviewed. The generalized network scale-up method was applied to estimate the population prevalence of men who have sex with men in the urban district of Taiyuan, China. RESULTS: The median of studies using the multiplier method to estimate the population prevalence of men who have sex with men in China was 4–8 times lower than the national level estimate. Meanwhile, the estimate of the generalized network scale-up method fell within the range of national level estimate. CONCLUSIONS: When high-quality existing data are not readily available, the multiplier method frequently yields underestimated results. We thus suggest that the generalized network scale-up method is preferred when sampling frames for the general population and accurate demographic information are available.
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spelling pubmed-39957432014-04-25 Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study Jing, Liwei Qu, Chengyi Yu, Hongmei Wang, Tong Cui, Yuehua PLoS One Research Article OBJECTIVES: Behavioral interventions are effective strategies for HIV/AIDS prevention and control. However, implementation of such strategies relies heavily on the accurate estimation of the high-risk population size. The multiplier method and generalized network scale-up method were recommended to estimate the population size of those at high risk for HIV by UNAIDS/WHO in 2003 and 2010, respectively. This study aims to assess and compare the two methods for estimating the size of populations at high risk for HIV, and to provide practical guidelines and suggestions for implementing the two methods. METHODS: Studies of the multiplier method used to estimate the population prevalence of men who have sex with men in China published between July 1, 2003 and July 1, 2013 were reviewed. The generalized network scale-up method was applied to estimate the population prevalence of men who have sex with men in the urban district of Taiyuan, China. RESULTS: The median of studies using the multiplier method to estimate the population prevalence of men who have sex with men in China was 4–8 times lower than the national level estimate. Meanwhile, the estimate of the generalized network scale-up method fell within the range of national level estimate. CONCLUSIONS: When high-quality existing data are not readily available, the multiplier method frequently yields underestimated results. We thus suggest that the generalized network scale-up method is preferred when sampling frames for the general population and accurate demographic information are available. Public Library of Science 2014-04-22 /pmc/articles/PMC3995743/ /pubmed/24755549 http://dx.doi.org/10.1371/journal.pone.0095601 Text en © 2014 Jing et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Jing, Liwei
Qu, Chengyi
Yu, Hongmei
Wang, Tong
Cui, Yuehua
Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
title Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
title_full Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
title_fullStr Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
title_full_unstemmed Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
title_short Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
title_sort estimating the sizes of populations at high risk for hiv: a comparison study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995743/
https://www.ncbi.nlm.nih.gov/pubmed/24755549
http://dx.doi.org/10.1371/journal.pone.0095601
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