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

Guo, Wei; Bao, Shui-lian; Lin, Wen Yuan; Wu, Guohui; Zhang, Wei Emma; Hladik, Wolfgang; Abdul-Quader, Abu; Bulterys, Marc; Fuller, Serena; Wang, Lu

doi:10.1371/journal.pone.0071796

Cited by 48 publications

(52 citation statements)

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“…Our result were closer to Harbin city but below Beijing city. And the study of Guo W [ 25 ] used the method of NSUM which produce the similar result to ours. Based on these results, we may identify some similarities by different methods.…”

Section: Discussionsupporting

confidence: 55%

“…The current study focused on HIV/AIDS high-risk populations and estimated the size of MSM populations in Shanghai, China, to be 36354 with a plausible range of 28489–44219 by using the NSUM. To date, two studies have used the NSUM to estimate the MSM population size including one from China [ 25 ]. Our results are comparable to the previous study in Chongqing, China, which demonstrated similar prevalence of MSM among male population [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

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Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China

et al. 2015

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BackgroundMen who have sex with men (MSM) are at high risk of HIV infection. For developing proper interventions, it is important to know the size of MSM population. However, size estimation of MSM populations is still a significant public health challenge due to high cost, hard to reach and stigma associated with the population.ObjectivesWe aimed to estimate the social network size (c value) in general population and the size of MSM population in Shanghai, China by using the net work scale-up method.MethodsA multistage random sampling was used to recruit participants aged from 18 to 60 years who had lived in Shanghai for at least 6 months. The “known population method” with adjustment of backward estimation and regression model was applied to estimate the c value. And the MSM population size was further estimated using an adjusted c value taking into account for the transmission effect through social respect level towards MSM.ResultsA total of 4017 participants were contacted for an interview, and 3907 participants met the inclusion criterion. The social network size (c value) of participants was 236 after adjustment. The estimated size of MSM was 36354 (95% CI: 28489–44219) for the male Shanghaies aged 18 to 60 years, and the proportion of MSM among the total male population aged 18 to 60 years in Shanghai was 0.28%.ConclusionsWe employed the network scale-up method and used a wide range of data sources to estimate the size of MSM population in Shanghai, which is useful for HIV prevention and intervention among the target population.

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Section: Discussionsupporting

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China

et al. 2015

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“…Using World Bank’s designation (90) for country income level, most studies (k=50, 86%) were conducted in high-income countries, three studies in upper middle-income countries (62, 65, 68), four studies in lower middle-income (66, 73, 76, 80), and none in low-income countries. Fifty-one studies (88%) were conducted in the United States, Canada, or Europe, four studies in East and Southeast Asia (68, 76, 77, 85), three in Central America (50, 56, 65), one in South Africa (62), and no studies were conducted in Australia or South America (Figure 2). The studies that focused on HIV prevention were primarily conducted in the United States or Europe (88%), with few in South-Southeast Asia, Central America, and Africa.…”

Section: Resultsmentioning

confidence: 99%

Social Network Strategies to Address HIV Prevention and Treatment Continuum of Care Among At-risk and HIV-infected Substance Users: A Systematic Scoping Review

et al. 2016

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Social network analysis (SNA) and social network-based interventions (SNI) are important analytical tools harnessing peer and family influences critical for HIV prevention and treatment among substance users. While SNA is an effective way to measure social network influences, SNI directly or indirectly involves network members in interventions. Even though these methods have been applied in heterogeneous ways, leading to extensive evidence-based practices, systematic reviews are however, lacking. We searched five bibliographic databases and identified 58 studies involving HIV in substance users that had utilized SNA or SNI as part of their methodology. SNA was used to measure network variables as inputs in statistical/mathematical models in 64% of studies and only 22% of studies used SNI. Most studies focused on HIV prevention and few addressed diagnosis (k=4), care linkage and retention (k=5), ART adherence (k=2), and viral suppression (k=1). This systematic review highlights both the advantages and disadvantages of social network approaches for HIV prevention and treatment and gaps in its use for HIV care continuum.

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“…Chongqing is one of the four municipalities under the direct control of the central government of China and serves as the economic and political center of southwest China, which has made Chongqing a magnet for migrant workers [27,28]. The average annual rate for new HIV infections in Chongqing from 2007 to 2012 was 19.7%, which greatly exceeded the national infection rate (3.13%) [29]. To augment the limited studies on MMWs in Chongqing, the present study adopted serial cross-sectional surveys to explore the prevalence of HIV, syphilis, and HCV among this group and investigated their HIV-related knowledge and behaviors from 2010 to 2018.…”

Section: Introductionmentioning

confidence: 99%

Changing Trends of HIV, Syphilis, and Hepatitis C among Male Migrant Workers in Chongqing, China: Nine Consecutive Cross-Sectional Surveys, 2010–2018

Wang

Lu²,

Wu³

et al. 2020

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Background: Male migrant workers (MMWs) have been reported to be vulnerable to human immunodeficiency virus (HIV) and other sexually transmitted infections (STIs). Chongqing, China is one of the major migration destinations and hotspots of HIV. This study aims to explore the prevalence of HIV, syphilis, and hepatitis C virus (HCV), as well as HIV-related knowledge and behaviors, among MMWs in Chongqing. Methods: Questionnaire surveys were conducted, and blood samples were collected and examined among MMWs selected by two-stage stratified sampling in Chongqing from 2010 to 2018. The Cochran–Armitage trend test was conducted to observe the trends in the prevalence of HIV, syphilis, and HCV, as well as HIV-related knowledge and behaviors. The Chi-square test and Binary Logistic Regression were conducted to observe the distinctions between different groups. Results: The overall HIV prevalence was 0.6% with an increasing trend (0.2% to 0.9%, p < 0.001), whereas the overall HCV prevalence was 0.5% with a decreasing trend (0.5% to 0.4%, p < 0.001). The overall syphilis prevalence was 1.3% in the ≥50 age group, 1.0% in the 30–49 age group, and higher than 0.3% in the 16–29 group (X2 = 19.527, p < 0.001). An uptrend (80.2%–80.6%, p < 0.001) was observed in correct HIV-related knowledge. The 16–29 ((Odds Ratio) OR: 1.575; 95%CI (Confidence Interval): 1.380–1.798; p < 0.001) and 30–49 (OR: 1.697; 95%CI: 1.495–1.926; p < 0.001) age groups had 1.575 and 1.697 times correct HIV-related knowledge more than the ≥50 age group. The proportion of subjects engaged in commercial sex in the past year (7.7%–13.3%, p < 0.001), consistent condom use during this activity (20.5%–54.0%, p < 0.001), and condom use in the last commercial sex (48.6%–72.1%, p = 0.020) were increasing. The risk of engaging in commercial sex in the past year in the 16–29 age group was 0.768 times (OR: 0.768; 95%CI: 0.643–0.917; p = 0.003) less than that in the ≥50 age group. The risk of engaging in non-regular sex in the past year in the 16–29 (OR: 2.819; 95%CI: 2.317–3.431; p < 0.001) and 30–49 (OR: 1.432; 95%CI: 1.184–1.733; p < 0.001) age groups were 2.819 and 1.432 times more than that in the ≥50 age group. The risk of engaging in anal sex in the past year in the 16–29 age group was 6.333 times (OR: 6.333; 95%CI: 1.468–27.327; p < 0.013) more than that in the ≥50 age group. The proportion of consistent condom use during non-regular sex in the past year (10.9%–47.3%, p < 0.001) and condom use in the last non-regular sex (40.8%–71.1%, p < 0.001) increased remarkably. The possibilities of consistent condom use during commercial sex in the past year in the 16–29 (OR: 2.606; 95%CI: 1.847–3.677; p < 0.001) and 30–49 (OR: 1.632; 95%CI: 1.214–2.195; p = 0.001) age groups were 2.606 and 1.632 times more than that in the ≥50 age group. The possibilities of condom use in the last commercial sex in the 16–29 (OR: 1.805; 95%CI: 1.258–2.589; p = 0.001) and 30–49 (OR: 1.360; 95%CI: 1.016–1.821; p = 0.039) age groups were 1.805 and 1.360 times more than that in the ≥50 age group. The possibilities of consistent condom use during non-regular sex in the past year (OR: 1.628; 95%CI: 1.066–2.484; p = 0.024) and condom use in the last non-regular sex (OR: 1.671; 95%CI: 1.148–2.433; p = 0.007) in the 16–29 age group were 1.628 and 1.671 times more than those in the ≥50 age group, respectively. Conclusion: An upward trend of HIV and a downward trend of HCV were observed among MMWs in Chongqing from 2010 to 2018. We also found an increase in commercial sex and inadequate condom use during high-risk behaviors among this population. The overall syphilis prevalence in the middle-aged and elderly groups was higher than in the young group, and elderly MMWs were more likely to engage in unprotected high-risk behaviors. Thus, targeted STI prevention for MMWs in Chongqing, especially those aged 50 years and above, is urgently needed.

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

Cited by 48 publications

References 12 publications

Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China

Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China

Social Network Strategies to Address HIV Prevention and Treatment Continuum of Care Among At-risk and HIV-infected Substance Users: A Systematic Scoping Review

Changing Trends of HIV, Syphilis, and Hepatitis C among Male Migrant Workers in Chongqing, China: Nine Consecutive Cross-Sectional Surveys, 2010–2018

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