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

Background Men 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. Objectives We 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. Methods A 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. Results A 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%. Conclusions We 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.

[1]  S. Moses,et al.  Estimating the Size of the Female Sex Worker Population in Kenya to Inform HIV Prevention Programming , 2014, PloS one.

[2]  Roberto Corradetti,et al.  Use of the scale-up methods in injury prevention research: An empirical assessment to the case of choking in children , 2007, Soc. Networks.

[3]  C. McCarty,et al.  Comparing Two Methods for Estimating Network Size , 2001 .

[4]  Lu Wang,et al.  Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method , 2013, PloS one.

[5]  A. Haghdoost,et al.  Estimation of the Active Network Size of Kermanian Males , 2010, Addiction & health.

[6]  Mark S Handcock,et al.  Estimating the size of populations at high risk for HIV using respondent‐driven sampling data , 2015, Biometrics.

[7]  S. Frost,et al.  Capture-recapture methods and respondent-driven sampling: their potential and limitations , 2011, Sexually Transmitted Infections.

[8]  D. Landoh,et al.  Distribution of new HIV infections among key risk population groups in Togo , 2014, The Pan African medical journal.

[9]  Matthew J. Salganik,et al.  Assessing Network Scale-up Estimates for Groups Most at Risk of HIV/AIDS: Evidence From a Multiple-Method Study of Heavy Drug Users in Curitiba, Brazil , 2011, American journal of epidemiology.

[10]  E. Laska,et al.  A plant-capture method for estimating the size of a population from a single sample. , 1988, Biometrics.

[11]  E. Laska,et al.  A Plant-Capture Method for Estimating the Size of a Population from a Single Sample , 1993 .

[12]  H. Russell Bernard,et al.  Estimating the size of an average personal network and of an event subpopulation: Some empirical results☆ , 1991 .

[13]  Stefan D Baral,et al.  Global epidemiology of HIV infection in men who have sex with men , 2012, The Lancet.

[14]  A. Schmidt,et al.  Estimating the regional distribution of men who have sex with men (MSM) based on Internet surveys , 2009, BMC public health.

[15]  H. Russell Bernard,et al.  A social network approach to estimating seroprevalence in the United States , 1998 .

[16]  H. Raymond,et al.  Estimates of the size of key populations at risk for HIV infection: men who have sex with men, female sex workers and injecting drug users in Nairobi, Kenya , 2013, Sexually Transmitted Infections.

[17]  Tong Wang,et al.  Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study , 2014, PloS one.

[18]  Zunyou Wu,et al.  HIV and syphilis prevalence among men who have sex with men: a cross-sectional survey of 61 cities in China. , 2013, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[19]  Eddy R. Segura,et al.  Epidemiology of male same-sex behaviour and associated sexual health indicators in low- and middle-income countries: 2003–2007 estimates , 2008, Sexually Transmitted Infections.

[20]  L. Abu-Raddad,et al.  HIV among People Who Inject Drugs in the Middle East and North Africa: Systematic Review and Data Synthesis , 2014, PLoS medicine.

[21]  C. Beyrer,et al.  A pilot cohort study to assess the feasibility of HIV prevention science research among men who have sex with men in Dakar, Senegal , 2013, Journal of the International AIDS Society.

[22]  Bilal Khan,et al.  Estimating the Size of the Methamphetamine-Using Population in New York City Using Network Sampling Techniques. , 2012, Advances in applied sociology.

[23]  Matthew J. Salganik,et al.  Counting hard-to-count populations: the network scale-up method for public health , 2010, Sexually Transmitted Infections.

[24]  R. Luan,et al.  A study on methods of estimating the population size of men who have sex with men in Southwest China , 2005, European Journal of Epidemiology.

[25]  R R Regal,et al.  Capture-recapture methods in epidemiology: methods and limitations. , 1995, Epidemiologic reviews.

[26]  H. Russell Bernard,et al.  Scale-Up Methods as Applied to Estimates of Heroin use , 2006 .

[27]  N. Crepaz,et al.  A Systematic Review to Identify Challenges of Demonstrating Efficacy of HIV Behavioral Interventions for Gay, Bisexual, and Other Men Who Have Sex with Men (MSM) , 2013, AIDS and Behavior.

[28]  Soichi Koike,et al.  Population Size Estimation of Men Who Have Sex with Men through the Network Scale-Up Method in Japan , 2012, PloS one.

[29]  H. Russell Bernard,et al.  Estimation of Seroprevalence, Rape, and Homelessness in the United States Using a Social Network Approach , 1998, Evaluation review.

[30]  P. Sullivan,et al.  A call to action for comprehensive HIV services for men who have sex with men , 2012, The Lancet.