Estimating the Size of the Methamphetamine-Using Population in New York City Using Network Sampling Techniques.

As part of a recent study of the dynamics of the retail market for methamphetamine use in New York City, we used network sampling methods to estimate the size of the total networked population. This process involved sampling from respondents' list of co-use contacts, which in turn became the basis for capture-recapture estimation. Recapture sampling was based on links to other respondents derived from demographic and "telefunken" matching procedures-the latter being an anonymized version of telephone number matching. This paper describes the matching process used to discover the links between the solicited contacts and project respondents, the capture-recapture calculation, the estimation of "false matches", and the development of confidence intervals for the final population estimates. A final population of 12,229 was estimated, with a range of 8235 - 23,750. The techniques described here have the special virtue of deriving an estimate for a hidden population while retaining respondent anonymity and the anonymity of network alters, but likely require larger sample size than the 132 persons interviewed to attain acceptable confidence levels for the estimate.

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

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

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

[4]  B. Vuylsteke,et al.  Capture–recapture for estimating the size of the female sex worker population in three cities in Côte d’Ivoire and in Kisumu, western Kenya , 2010, Tropical medicine & international health : TM & IH.

[5]  A Chao,et al.  The applications of capture‐recapture models to epidemiological data , 2001, Statistics in medicine.

[6]  Wayne Hall,et al.  Extent of illicit drug use and dependence, and their contribution to the global burden of disease , 2012, The Lancet.

[7]  G. Dallabetta,et al.  Participatory Mapping of Sex Trade and Enumeration of Sex Workers Using Capture–Recapture Methodology in Diego-Suarez, Madagascar , 2003, Sexually transmitted diseases.

[8]  Martin Bouchard,et al.  A Capture–Recapture Model to Estimate the Size of Criminal Populations and the Risks of Detection in a Marijuana Cultivation Industry , 2007 .

[9]  J. Maxwell,et al.  The prevalence of methamphetamine and amphetamine abuse in North America: a review of the indicators, 1992-2007. , 2008, Drug and alcohol review.

[10]  Francisco E. Thoumi The Numbers Game: Let's All Guess the Size of the Illegal Drug Industry! , 2005 .

[11]  M. Chiasson,et al.  Crystal Methamphetamine Use Predicts Incident STD Infection Among Men Who Have Sex With Men Recruited Online: A Nested Case-Control Study , 2004, Journal of medical Internet research.

[12]  Lisa M. Lee,et al.  Assessing the completeness of reporting of human immunodeficiency virus diagnoses in 2002-2003: capture-recapture methods. , 2006, American journal of epidemiology.

[13]  K. Tilling,et al.  Capturing crack cocaine use: estimating the prevalence of crack cocaine use in London using capture-recapture with covariates. , 2005, Addiction.

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

[15]  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.

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

[17]  M. Hiller,et al.  Substance Abuse among Rural and Very Rural Drug Users at Treatment Entry , 2006, The American journal of drug and alcohol abuse.

[18]  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.

[19]  D. Heckathorn 6. Extensions of Respondent-Driven Sampling: Analyzing Continuous Variables and Controlling for Differential Recruitment , 2007 .

[20]  Yang Zhao Estimating the Size of an Injecting Drug User Population , 2011 .

[21]  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.

[22]  J. Creswell,et al.  How many men who have sex with men and female sex workers live in El Salvador? Using respondent-driven sampling and capture–recapture to estimate population sizes , 2011, Sexually Transmitted Infections.

[23]  Matthew J. Salganik,et al.  How Many People Do You Know?: Efficiently Estimating Personal Network Size , 2010, Journal of the American Statistical Association.

[24]  Wayne T. Steward,et al.  Predicting HIV Transmission Risk Among HIV-Infected Men Who Have Sex With Men: Findings From the Healthy Living Project , 2005, Journal of acquired immune deficiency syndromes.

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

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

[27]  S. Friedman,et al.  Estimates of injecting drug users at the national and local level in developing and transitional countries, and gender and age distribution , 2006, Sexually Transmitted Infections.

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

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

[30]  L. Holland,et al.  Estimating the size of an illicit‐drug‐using population , 2003, Statistics in medicine.