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Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method

OBJECTIVES: To estimate the average social network size in the general population and the size of HIV key affected populations (KAPs) in Chongqing municipality using the network scale-up method (NSUM). METHODS: A general population survey was conducted in 2011 through a multistage random sampling me...

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Autores principales: Guo, Wei, Bao, Shuilian, Lin, Wen, Wu, Guohui, Zhang, Wei, Hladik, Wolfgang, Abdul-Quader, Abu, Bulterys, Marc, Fuller, Serena, Wang, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3742468/
https://www.ncbi.nlm.nih.gov/pubmed/23967246
http://dx.doi.org/10.1371/journal.pone.0071796
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author Guo, Wei
Bao, Shuilian
Lin, Wen
Wu, Guohui
Zhang, Wei
Hladik, Wolfgang
Abdul-Quader, Abu
Bulterys, Marc
Fuller, Serena
Wang, Lu
author_facet Guo, Wei
Bao, Shuilian
Lin, Wen
Wu, Guohui
Zhang, Wei
Hladik, Wolfgang
Abdul-Quader, Abu
Bulterys, Marc
Fuller, Serena
Wang, Lu
author_sort Guo, Wei
collection PubMed
description OBJECTIVES: To estimate the average social network size in the general population and the size of HIV key affected populations (KAPs) in Chongqing municipality using the network scale-up method (NSUM). METHODS: A general population survey was conducted in 2011 through a multistage random sampling method. Participants aged between 18 and 60 years were recruited. The average social network size (c) was estimated and adjusted by known population method. The size of HIV KAP in Chongqing municipality was estimated using the adjusted c value with adjustment for the transmission effect using the scaled respect factor. RESULTS: 3,026 inhabitants of Chongqing agreed to the survey, and 2,957 (97.7%) completed the questionnaire. The adjusted c value was 310. The estimated size of KAP was 28,418(95% Confidence Interval (CI):26,636∼30,201) for female sex workers (FSW), 163,199(95%CI:156,490∼169,908) for clients of FSW, 37,959(95%CI: 34,888∼41,030) for drug users (DU), 14,975(95%CI:13,047∼16,904) for injecting drug users (IDU) and 16,767(95%CI:14,602∼18,932) for men who have sex with men (MSM). The ratio of clients to FSW was 5.74∶1, and IDU accounted for 39.5% of the DU population. The estimates suggest that FSW account for 0.37% of the female population aged 15–49 years in Chongqing, and clients of FSW and MSM represent 2.09% and 0.21% of the male population aged 15–49 years in the city, respectively. CONCLUSION: NSUM provides reasonable population size estimates for FSW, their clients, DU and IDU in Chongqing. However, it is likely to underestimate the population size of MSM even after adjusting for the transmission effect.
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spelling pubmed-37424682013-08-21 Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method Guo, Wei Bao, Shuilian Lin, Wen Wu, Guohui Zhang, Wei Hladik, Wolfgang Abdul-Quader, Abu Bulterys, Marc Fuller, Serena Wang, Lu PLoS One Research Article OBJECTIVES: To estimate the average social network size in the general population and the size of HIV key affected populations (KAPs) in Chongqing municipality using the network scale-up method (NSUM). METHODS: A general population survey was conducted in 2011 through a multistage random sampling method. Participants aged between 18 and 60 years were recruited. The average social network size (c) was estimated and adjusted by known population method. The size of HIV KAP in Chongqing municipality was estimated using the adjusted c value with adjustment for the transmission effect using the scaled respect factor. RESULTS: 3,026 inhabitants of Chongqing agreed to the survey, and 2,957 (97.7%) completed the questionnaire. The adjusted c value was 310. The estimated size of KAP was 28,418(95% Confidence Interval (CI):26,636∼30,201) for female sex workers (FSW), 163,199(95%CI:156,490∼169,908) for clients of FSW, 37,959(95%CI: 34,888∼41,030) for drug users (DU), 14,975(95%CI:13,047∼16,904) for injecting drug users (IDU) and 16,767(95%CI:14,602∼18,932) for men who have sex with men (MSM). The ratio of clients to FSW was 5.74∶1, and IDU accounted for 39.5% of the DU population. The estimates suggest that FSW account for 0.37% of the female population aged 15–49 years in Chongqing, and clients of FSW and MSM represent 2.09% and 0.21% of the male population aged 15–49 years in the city, respectively. CONCLUSION: NSUM provides reasonable population size estimates for FSW, their clients, DU and IDU in Chongqing. However, it is likely to underestimate the population size of MSM even after adjusting for the transmission effect. Public Library of Science 2013-08-13 /pmc/articles/PMC3742468/ /pubmed/23967246 http://dx.doi.org/10.1371/journal.pone.0071796 Text en © 2013 Guo 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
Guo, Wei
Bao, Shuilian
Lin, Wen
Wu, Guohui
Zhang, Wei
Hladik, Wolfgang
Abdul-Quader, Abu
Bulterys, Marc
Fuller, Serena
Wang, Lu
Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method
title Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method
title_full Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method
title_fullStr Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method
title_full_unstemmed Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method
title_short Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method
title_sort estimating the size of hiv key affected populations in chongqing, china, using the network scale-up method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3742468/
https://www.ncbi.nlm.nih.gov/pubmed/23967246
http://dx.doi.org/10.1371/journal.pone.0071796
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