Statistical adjustment of network degree in respondent-driven sampling estimators: Venue attendance as a proxy for network size among young MSM

We introduce a new venue-informed network degree measure, which we applied to respondent-driven sampling (RDS) estimators. Using data collected from 746 young MSM in 2014-2016 in Chicago, IL, and Houston, TX, we estimated the population seroprevalence of HIV and syphilis and risk/protective behaviors, using RDS estimates with self-reported network size as a standard degree measure as well as our proposed venue-informed degree measure. The results indicate that the venue-informed degree measure tended to be more efficient (smaller variance) and less biased than the other measure in both cities sampled. Venue attendance-adjusted network size may provide a more reliable and accurate degree measure for RDS estimates of the outcomes of interest.

[1]  D. Vlahov,et al.  Personal network characteristics as antecedents to needle-sharing and shooting gallery attendance , 1995 .

[2]  Charlene A Flash,et al.  Social networks as drivers of syphilis and HIV infection among young men who have sex with men , 2018, Sexually Transmitted Infections.

[3]  David Ostrow,et al.  Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among black men who have sex with men. , 2013, American journal of public health.

[4]  Gábor Csárdi,et al.  The igraph software package for complex network research , 2006 .

[5]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[6]  Erik M. Volz,et al.  Probability based estimation theory for respondent driven sampling , 2008 .

[7]  B. Mustanski,et al.  Do recruitment patterns of young men who have sex with men (YMSM) recruited through respondent-driven sampling (RDS) violate assumptions? , 2014, Journal of Epidemiology & Community Health.

[8]  Krista Gile Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation , 2010, 1006.4837.

[9]  Thomas W. Valente,et al.  Bridging: Locating critical connectors in a network , 2010, Soc. Networks.

[10]  Mark S Handcock,et al.  7. Respondent-Driven Sampling: An Assessment of Current Methodology , 2009, Sociological methodology.

[11]  A. Klovdahl,et al.  Social networks and the spread of infectious diseases: the AIDS example. , 1985, Social science & medicine.

[12]  John R Su,et al.  Primary and Secondary Syphilis — United States, 2005–2013 , 2014, MMWR. Morbidity and mortality weekly report.

[13]  Chyvette T. Williams,et al.  Collecting whole network data for human immunodeficiency virus prevention: A review of current strategies , 2013 .

[14]  Matthew J. Salganik,et al.  Assessing respondent-driven sampling , 2010, Proceedings of the National Academy of Sciences.

[15]  C. Latkin,et al.  Comparison of Respondent Driven Sampling Estimators to Determine HIV Prevalence and Population Characteristics among Men Who Have Sex with Men in Moscow, Russia , 2016, PloS one.

[16]  Kayo Fujimoto,et al.  Venue-Mediated Weak Ties in Multiplex HIV Transmission Risk Networks Among Drug-Using Male Sex Workers and Associates. , 2015, American journal of public health.

[17]  Nick S. Jones,et al.  Errors in reported degrees and respondent driven sampling: Implications for bias☆ , 2014, Drug and alcohol dependence.

[18]  Matthew J. Salganik,et al.  5. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling , 2004 .

[19]  Matthew J. Salganik,et al.  Diagnostics for respondent‐driven sampling , 2012, Journal of the Royal Statistical Society. Series A,.

[20]  Kelika A. Konda,et al.  Sampling Methodologies for Epidemiologic Surveillance of Men Who Have Sex with Men and Transgender Women in Latin America: An Empiric Comparison of Convenience Sampling, Time Space Sampling, and Respondent Driven Sampling , 2014, AIDS and Behavior.

[21]  K. Fujimoto,et al.  Use of Pre-exposure Prophylaxis (PrEP) in Young Men Who Have Sex with Men is Associated with Race, Sexual Risk Behavior and Peer Network Size , 2017, AIDS and Behavior.

[22]  Mohsen Malekinejad,et al.  Implementation Challenges to Using Respondent-Driven Sampling Methodology for HIV Biological and Behavioral Surveillance: Field Experiences in International Settings , 2008, AIDS and Behavior.

[23]  T. Valente,et al.  Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption , 2018, AIDS and Behavior.

[24]  E. Laumann,et al.  A new HIV prevention network approach: sociometric peer change agent selection. , 2015, Social science & medicine.

[25]  Ali Haider,et al.  Partner naming and forgetting: Recall of network members , 2007, Soc. Networks.

[26]  Peng Wang,et al.  Exponential random graph models for affiliation networks , 2009, Soc. Networks.

[27]  T. Ha,et al.  Assessment of Random Recruitment Assumption in Respondent-Driven Sampling in Egocentric Network Data. , 2012, Social networking.

[28]  Peng Wang,et al.  Multiplex Competition, Collaboration, and Funding Networks Among Health and Social Organizations: Toward Organization-based HIV Interventions for Young Men Who Have Sex With Men , 2017, Medical care.

[29]  Martina Morris,et al.  Concurrent partnerships and HIV prevalence disparities by race: linking science and public health practice. , 2009, American journal of public health.

[30]  J. Potterat,et al.  Social networks and infectious disease: the Colorado Springs Study. , 1994, Social science & medicine.

[31]  N. Milburn,et al.  Position-specific HIV risk in a large network of homeless youths. , 2012, American journal of public health.

[32]  Rebeca Ramos,et al.  Respondent-Driven Sampling of Injection Drug Users in Two U.S.–Mexico Border Cities: Recruitment Dynamics and Impact on Estimates of HIV and Syphilis Prevalence , 2006, Journal of Urban Health.

[33]  Edward O. Laumann,et al.  Structural Bridging Network Position is Associated with HIV Status in a Younger Black Men Who Have Sex with Men Epidemic , 2014, AIDS and Behavior.

[34]  Douglas D. Heckathorn,et al.  Respondent-driven sampling : A new approach to the study of hidden populations , 1997 .

[35]  W. Darrow,et al.  Cluster of cases of the acquired immune deficiency syndrome. Patients linked by sexual contact. , 1984, The American journal of medicine.

[36]  R. Hogg,et al.  Factors Associated with Productive Recruiting in a Respondent-Driven Sample of Men who Have Sex with Men in Vancouver, Canada , 2016, Journal of Urban Health.

[37]  S. Reisner,et al.  What Makes a Respondent-Driven Sampling “Seed” Productive? Example of Finding At-Risk Massachusetts Men Who Have Sex with Men , 2010, Journal of Urban Health.

[38]  Lindsay E. Young,et al.  Preexposure Prophylaxis Awareness and Use in a Population-Based Sample of Young Black Men Who Have Sex With Men. , 2016, JAMA internal medicine.

[39]  R. Lozada,et al.  Evaluating Outcome-Correlated Recruitment and Geographic Recruitment Bias in a Respondent-Driven Sample of People Who Inject Drugs in Tijuana, Mexico , 2014, AIDS and Behavior.

[40]  Cyprian Wejnert,et al.  3. An Empirical Test of Respondent-Driven Sampling: Point Estimates, Variance, Degree Measures, and Out-of-Equilibrium Data , 2009, Sociological methodology.

[41]  Douglas D. Heckathorn,et al.  Simultaneous Recruitment of Drug Users and Men Who Have Sex with Men in the United States and Russia Using Respondent-Driven Sampling: Sampling Methods and Implications , 2009, Journal of Urban Health.

[42]  Martina Morris,et al.  Concurrent Partnerships, Acute Infection and HIV Epidemic Dynamics Among Young Adults in Zimbabwe , 2012, AIDS and Behavior.

[43]  Thomas W. Valente,et al.  Social Networks and Health: Models, Methods, and Applications , 2010 .

[44]  S. Frost Using sexual affiliation networks to describe the sexual structure of a population , 2007, Sexually Transmitted Infections.

[45]  Christopher H. Johnson,et al.  Trends in HIV Prevalence and HIV Testing Among Young MSM: Five United States Cities, 1994–2011 , 2014, AIDS and Behavior.

[46]  Mark S Handcock,et al.  MODELING SOCIAL NETWORKS FROM SAMPLED DATA. , 2010, The annals of applied statistics.

[47]  Ju Yeong Kim,et al.  Network Centrality and Geographical Concentration of Social and Service Venues that Serve Young Men Who Have Sex with Men , 2017, AIDS and Behavior.

[48]  Douglas D. Heckathorn,et al.  Respondent-driven sampling II: deriving valid population estimates from chain-referral samples of hi , 2002 .

[49]  J. Catania,et al.  The Effect of Venue Sampling on Estimates of HIV Prevalence and Sexual Risk Behaviors in Men Who Have Sex With Men , 2006, Sexually transmitted diseases.

[50]  B. Mustanski,et al.  Socioeconomic Disconnection as a Risk Factor for Increased HIV Infection in Young Men Who Have Sex with Men. , 2016, LGBT health.

[51]  B. Cornwell,et al.  Social venue range and referral chain impact: Implications for the sampling of hidden communities , 2017, PloS one.

[52]  Andrew J Copas,et al.  Evaluation of Respondent-driven Sampling , 2012, Epidemiology.

[53]  S Q Muth,et al.  Sexual network position and risk of sexually transmitted infections , 2009, Sexually Transmitted Infections.

[54]  Mark S Handcock,et al.  Network model‐assisted inference from respondent‐driven sampling data , 2011, Journal of the Royal Statistical Society. Series A,.

[55]  Sharad Goel,et al.  Respondent driven sampling—where we are and where should we be going? , 2012, Sexually Transmitted Infections.

[56]  K. Fujimoto,et al.  Venue-Based Affiliation Networks and HIV Risk-Taking Behavior Among Male Sex Workers , 2013, Sexually transmitted diseases.

[57]  Matthew J. Salganik,et al.  Strengthening the Reporting of Observational Studies in Epidemiology for respondent-driven sampling studies: “STROBE-RDS” statement , 2015, Journal of clinical epidemiology.

[58]  Abby E. Rudolph,et al.  The Importance of Measuring and Accounting for Potential Biases in Respondent-Driven Samples , 2013, AIDS and Behavior.

[59]  Matthew J. Salganik Respondent-driven Sampling in the Real World , 2012 .

[60]  J. Havens,et al.  Accuracy of name and age data provided about network members in a social network study of people who use drugs: implications for constructing sociometric networks. , 2016, Annals of epidemiology.

[61]  Matthew J. Salganik,et al.  Commentary: Respondent-driven Sampling in the Real World. , 2012, Epidemiology.

[62]  Peng Wang,et al.  Exponential random graph models for multilevel networks , 2013, Soc. Networks.

[63]  Jeremy M. Brown,et al.  Short Communication: Lack of Support for Socially Connected HIV-1 Transmission Among Young Adult Black Men Who Have Sex with Men. , 2017, AIDS research and human retroviruses.

[64]  R. Rothenberg,et al.  Sociometric risk networks and risk for HIV infection. , 1997, American journal of public health.

[65]  Mohsen Malekinejad,et al.  Using Respondent-Driven Sampling Methodology for HIV Biological and Behavioral Surveillance in International Settings: A Systematic Review , 2008, AIDS and Behavior.

[66]  M. Morris,et al.  INFERENCE FOR SOCIAL NETWORK MODELS FROM EGOCENTRICALLY SAMPLED DATA, WITH APPLICATION TO UNDERSTANDING PERSISTENT RACIAL DISPARITIES IN HIV PREVALENCE IN THE US. , 2017, The annals of applied statistics.

[67]  Gregory Phillips,et al.  Evaluation of Respondent-Driven Sampling in a Study of Urban Young Men Who Have Sex with Men , 2015, Journal of Urban Health.

[68]  H. Hagan,et al.  Spatial Recruitment Bias in Respondent-Driven Sampling: Implications for HIV Prevalence Estimation in Urban Heterosexuals , 2014, AIDS and Behavior.